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10.1109-JSYST.2013.2296075-Control Methods and Objectives for Electronically Coupled Distributed Energy Resources in Microgrids- A Review

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    IEEE SYSTEMS JOURNAL 1

    Control Methods and Objectives for Electronically

    Coupled Distributed Energy Resources in

    Microgrids: A ReviewBilal M. Eid,Student Member, IEEE, Nasrudin Abd Rahim, Senior Member, IEEE,

    Jeyraj Selvaraj, and Ahmad H. El Khateb, Member, IEEE

    AbstractIncreased penetration of distributed energy re-sources into conventional power systems increases control chal-lenges. These can be suitably met by microgrids. This paperexamines the architecture of microgrids and reviews their clas-sifications and the literatures discussing their control objectivesduring islanded mode. It finds the use of microgrids enhancing theconventional power systems grid smartness. It also summarizesmicrogrid control objectives and their most common problemsand

    solutions.Index TermsDistributed energy resources (DERs), droop

    method, electronically coupled, load sharing (LS), microgrid con-trol, power converters.

    I. INTRODUCTION

    THE POSSIBILITY of increased blackouts in power sys-

    tems can be due to both economical and physical reasons,

    e.g., 1) increased demand for power that had to be transferred

    over long distances, resulting in huge amounts of lost power;

    2) continual load growth unparalleled by sufficient investment

    into power generation and transmission systems; and 3) extreme

    swings from one day to the next in power flow dispatch, makingconventional offline planning useless. These push power sys-

    tems to their physical limits, with a possibility of compromising

    grid reliability. A distributed energy resource (DER) is one

    solution that can reduce the electrical and physical distances

    between the load and the generator, improve reactive power

    to enhance grid voltage profile and power quality, remove

    bottlenecks from distribution and transmission lines, reduce

    transmission and distribution losses, make better use of waste

    heat, postpone the necessity to establish new transmission lines

    Manuscript received July 16, 2013; revised November 4, 2013; accepted

    December 16, 2013. This work was supported by the Secretariat of theUniversity of Malayas High Impact Research through the Campus NetworkSmartgrid for Energy Security under Project UM.C/HIR/MOHE/ENG/32.

    B. M. Eid is with the University of Malaya Power Energy DedicatedAdvanced Centre (UMPEDAC), Wisma R&D, University of Malaya, KualaLumpur 59990, Malaysia, and also with the Department of Electrical En-gineering, University of Malaya, Kuala Lumpur 50603, Malaysia (e-mail:[email protected]).

    N. A. Rahim is with the University of Malaya Power Energy DedicatedAdvanced Centre (UMPEDAC), Wisma R&D, University of Malaya, KualaLumpur 59990, Malaysia and also with the Department of Electrical andComputer Engineering, Faculty of Engineering, King Abdulaziz University,Jeddah 21589, Saudi Arabia.

    J. Selvaraj and A. H. El Khateb are with the University of Malaya PowerEnergy Dedicated Advanced Centre (UMPEDAC), Wisma R&D, University ofMalaya, Kuala Lumpur 59990, Malaysia.

    Digital Object Identifier 10.1109/JSYST.2013.2296075

    and huge power generation plants, and keep carbon emission

    levels low [1], [2][5].

    The challenges to having multiple DERs include the fol-

    lowing: 1) the current control strategy (CCS) is unable to

    function during islanded mode because there is no dominant

    source of energy [6][8]. 2) Multiple DERs have multiple

    power generation characteristics and capacities; therefore, the

    microgrid needs rapid regulation more in islanded mode than ingrid-connected mode [6]. 3) An increased presence of DERs,

    particularly in a distribution network (whether medium or low

    voltage), may cause problems such as voltage rise and unstable

    network voltage and frequency (either during operation of

    the DERs or upon their sudden tripping) [6], [9][11]. Such

    problems can be solved by microgrids, whose many features

    include the following:

    1) integrating DERs without interrupting public-grid opera-

    tion, i.e., a lot of DERs can be installed without reforming

    or rewiring the distribution system [2], [12], [13];

    2) enabling power systems to observe and control faults

    more effectively and to reduce the damage caused by aDER outage, by continually feeding critical loads [4],

    [11], [14];

    3) allowing load shedding and automated switching through

    control algorithms, to shorten outage and power restora-

    tion time, and keeping the faulted section of the distri-

    bution line isolated until utility crews locate the fault

    location [4], [14], [15];

    4) allowing to run in either (grid-connected or islanded)

    mode, according to the economy or a planned disconnec-

    tion, or to restore the public-grid power quality when it

    falls below certain standards [12], [16][18];

    5) improving system reliability and flexibility, through themany options of DERs [2], [13], [19][22];

    6) using DERs waste heat to improve generation efficiency

    [2], [6], [13], [20], [23][25].

    The microgrid paradigm is that a group of microsources and

    loads, with some form of energy storage, operate as a control-

    lable system, providing heat and power to local communities

    [7], [12]. The Consortium for Electric Reliability Technology

    Solutions (CERTS) [13] showed that clustered DERs, storage

    systems, and loads can operate in either grid-connected or

    islanded mode. Factors affecting the choice of the required

    control and operation strategies of a microgrid include the

    following: power-quality restrictions; DER type and depth

    1932-8184 2014IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.Seehttp://www.ieee.org/publications_standards/publications/rights/index.htmlfor more information.

    mailto:%[email protected]://www.ieee.org/publications_standards/publications/rights/index.htmlmailto:%[email protected]://www.ieee.org/publications_standards/publications/rights/index.html
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    2 IEEE SYSTEMS JOURNAL

    Fig. 1. Basic architecture of a microgrid.

    of penetration; single-phase load, which is more common inmicrogrids; high presence of uncontrolled sources, such as

    wind and photovoltaic (PV) units; short- and long-term energy

    storage devices, which affect control and operation; priority

    for critical load; load characteristics; and load market-sharing

    requirements. Thus, significantly different control in the micro-

    grid is required [7], [13], [26], [27].

    This paper reviews the classification and control technique

    and objectives of electronically coupled DERs in microgrids.

    Section II illustrates the microgrid configuration, whereas

    Section III presents the classification types. Section IV ex-

    amines the control objectives, techniques, and strategies; Sec-

    tions VVII discuss the control functions of microgrids; andSection VIII summarizes the control problems and their solu-

    tions. Section IX concludes the paper.

    II. CONFIGURATION OF A M ICROGRID

    Fig. 1 shows a basic microgrid architecture. The electrical

    system consists of three radial feeders that connect to the main

    grid through a separation device called the point of common

    coupling (PCC). A microgrid central controller (MGCC) is the

    main controller of the DERs. It is responsible for stabilizing

    the active and reactive powers dispatched from each DER

    and also the voltage and frequency at the PCC. The circuit

    breaker installed at each feeder startpoint provides the critical

    feeders (which contain the DERs and the critical loads) with

    the capability to supply the loads separately from the main

    grid. The loads and DERs have local controllers (LCs) that

    control the production and storage units and some of the local

    loads. In a centralized operation, they receive set points from

    the MGCC, whereas in a decentralized operation, they make

    decisions locally [6], [27], [28].

    III. CLASSIFICATION OF M ICROGRIDS

    Microgrids can be classified in many ways as follows.

    1) In terms of power type (whether ac or dc) [27], Fig. 2illustrates the following microgrid power types: dc

    Fig. 2. Classification of microgrids based on power type (ac or dc).

    Fig. 3. Two-stage conversion systems for PV.

    microgrid [29], high-frequency ac microgrid [30], [31]

    (which is used to solve power-quality problems caused by

    the presence of lots of energy conversion devices and to

    reduce the impact of fluctuations in renewable energy in

    the microgrid), line-frequency ac (LFAC) microgrid (the

    most researched since the concept of microgrid was for-

    mulated [27]), and hybrid dc- and ac-coupled microgrids.

    2) In terms of the application used for [21], they can be

    classified into three categories subject to their application:

    a) utility microgrids (a district of the city operates as a

    microgrid), b) commercial and industrial microgrids, andc) isolated microgrids.

    3) In terms of system structure, they can be classified into

    two structures, depending on the number of power pro-

    cessing stages: a) single-stage power-conversion systems

    [27], [32], [33] and b) two-stage power-conversion sys-

    tems [24], [34][36] (which is the most common con-

    figuration for all electronically coupled DER). Two-stage

    conversion systems have two converters, i.e., one on the

    PV side, which is used to extract the maximum power

    from the PV, and another is connected to the grid side and

    controlled to follow grid requirements (refer to Fig. 3).

    4) In terms of supervisory control, they can be either cen-tralized or decentralized [27]; in centralized control, the

    central controller in the microgrid sends the required set

    points to the LC through a two-way communication link,

    but the technique has low reliability and is redundant

    [37]; the decentralized technique is a multiagent system,

    providing flexibility to the system and communication

    between two agents through a communication language

    such as Java-Jade [27], [38], [39].

    5) In terms of the DERs connection to the microgrid, i.e.,

    either electronically coupled (converters are used) or

    conventional rotating distributed generators [7], [27].

    Microgrids may also be single- or three-phase systems

    or connected to low- or medium-voltage distributionnetworks [40]; their mode of operation is either islanded

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    EID et al.: CONTROL METHODS AND OBJECTIVES FOR ELECTRONICALLY COUPLED DERS IN MICROGRIDS 3

    or grid-connected; each mode has its own operation re-

    quirements and requires a distinct control strategy [26].

    On the basis of these classifications and relating to the

    reviewed papers, research is shown to have focused on LFAC,

    industrial and commercial applications, two-stage power-

    conversion microgrids, three-phase systems, and electronically

    coupled DERs.

    IV. MICROGRIDC ONTROL M ETHODS AND O BJECTIVES

    Control of a microgrid during islanded mode is particularly

    critical [7], [27], [41]. The next part of this paper examines the

    system control used for the islanded operation (e.g., voltage

    regulation (VR), frequency regulation (FR), and load-sharing

    (LS) optimization). Since there is no synchronous machine in

    most microgrids to achieve demand and supply balancing, the

    inverters should be responsible for balancing. The use of a

    voltage-source inverter (VSI) to provide a reference for voltage

    and frequency enables microgrids to operate in islanded mode

    [42], [43].Many papers have discussed the term grid-forming [7],

    [26], [27], [41], and others have used islanded operation

    mode to mean the same definition. The grid-forming mode

    is used to regulate voltage and frequency and to achieve LS

    in microgrids, when the system operates in islanded mode [7],

    [27], [41]. The control strategies, layer interconnections, and

    functions are discussed in the following.

    A. Control Strategies

    There are two main control strategies proposed for micro-

    grids during islanded mode: a) single-master operation (SMO)

    and b) multimaster operation (MMO) [42], [44]. Both use a

    VSI to provide a reference for voltage and frequency [43],

    and a convenient secondary load-frequency control must be

    considered to maintain the frequency between the specified

    limits and to run the DER economically [17], [42], [45].

    SMO [42], [44]: This approach has one inverter acting as

    VSI (the master) and others as followers (the slaves). When

    the main power supply is lost, the slaves take voltage reference

    from the master and operate in thePQmode. The LCs receiveset points from the MGCC to maintain generation of active and

    reactive powers at the specified values. The part within the thick

    dashed lines in Fig. 4 illustrates the SMO scheme.

    MMO [42], [44]: Fig. 4 also illustrates MMO approach, inwhich several inverters act as VSI (the master). The VSI can

    be connected to storage devices or to DERs. Other inverters

    withP Q control may also coexist. The generation profile canbe modified by the MGCC, which can define new set points for

    the LCs.

    B. Wire and Nonwire Interconnections

    Instantaneous LS in microgrids is achieved through two main

    control schemes. The control schemes are classified according

    to their control-wire interconnections [27], [46].

    One of the two schemes is the active LS technique, which

    has parallel-connected microgrid converters, including masterslave (MS) [47][58], centralized LS [59], [60], average LS

    Fig. 4. MMO control, with SMO inside the dashed lines.

    (ALS) [61][68], current limitation control [69], and circular

    chain control (3C) [69], [70]. These control schemes critically

    need intercommunication lines, which can decrease system

    reliability and expandability, although they enable good VR and

    accurate current sharing [71], [72].The other control scheme for parallel inverters is based

    mainly on a droop method [7], [16], [26], [41], [57], [73]

    [109]. This technique adjusts the output voltage and frequency

    in functions of active power (P) and reactive power (Q)delivered by the inverter. The droop method uses only local

    power measurements; hence, better reliability and flexibility is

    achieved in the physical location of the units [71], [103], [110].

    C. Control Layers

    The microgrid control system has to ensure that all the con-

    trol functions are accomplished (e.g., supply of electrical and/orthermal energy, continuous feeding of the critical loads, energy-

    market participation, autoreconnection after failure, etc.). The

    control objectives can be achieved through either centralized or

    decentralized control and through three control layers, as shown

    in Fig. 5. Some authors [6], [39] call the supervisory control

    architecture a multiagent controller. The control levels are the

    following [6], [7], [27], [58], [72], [104], [110], [111]:

    1) distribution network operator (DNO) and market operator

    (MO);

    2) MGCC;

    3) LC, which can be either the source controller or the

    microload controller.

    The DNO is necessary when there is more than one mi-

    crogrid in the distribution system. In addition, for the market

    environment of a specific area, one MO or more is responsible

    for market management of the microgrid. Both the DNO and

    the MO are part of the main grid; they do not belong to the

    microgrid. The second level is the MGCC, which is the main

    integrator of the DER clusters in a microgrid. It is responsible

    in stabilizing the voltage and frequency at the PCC and also

    responsible for the active and reactive powers dispatched from

    each DER [26], [58]. The LCs are the lower layer of control

    (sometimes called peer-to-peer, as in [6]). They control the

    DERs and some of the local load and seek to balance active and

    reactive powers. They have a certain intelligence level and, thus,can make decisions locally in a decentralized operation model

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    4 IEEE SYSTEMS JOURNAL

    Fig. 5. General architecture of a hierarchical microgrid control system (mul-tiagent controller).

    (whereas in a centralized model, the LCs receive set points

    from the MGCC) [7], [111][113]. In [114], the intelligent

    node (iNode) and intelligent socket (iSocket) performed the

    same tasks as the MGCC and LC, respectively, whereas [58]

    proposed four control layers, adding a layer called the main-

    station layer before the DNO layer. Fig. 5 shows the DNO,

    MGCC, and LC control layers.

    D. Control Function

    Published works on microgrids have been mostly about the

    control functions and strategies [8], [42], [56], [115]. The next

    part of this paper reviews the techniques and strategies for con-trol of DER converters in a microgrid system. The two modes

    of operation for microgrids are equally important; however, the

    islanded mode is emphasized because it is particularly more

    challenging than the grid-connected mode [107]. Microgrid

    grid-forming mode (islanded mode) is discussed next, demon-

    strating the control techniques and objectives.

    V. VOLTAGES TABILITY

    Terms relating to voltage stability include voltage quality,

    VR, voltage distortion, and voltage profile. Voltage stability in

    a microgrid is about keeping the voltage amplitude stable at alevel required by the system. A voltage controller at each DER

    unit provides local stability. Without local voltage control, sys-

    tems with high penetrations of DER might experience voltage

    and/or reactive power oscillations [2], [13]. Voltage stability

    in islanded mode has been much studied [2], [5][7], [13],

    [16], [20][22], [27], [41], [42], [44], [56], [58], [104], [106],

    [107], [110], [116][123]. The concept of voltage control can

    be expanded to include voltage balancing between the three

    phases [119].

    A. Factors Affecting Voltage Stability

    1) Control is more complicated in low-voltage distributionnetworks because of their resistive nature, which may

    Fig. 6. (a) Voltage set point to remove the circulating reactive current.(b) VQD controller.

    cause coupling between the active power and the voltage

    (instead of the frequency) [106].

    2) Load characteristics can affect microgrid performance in,

    e.g., voltage stability and transient stability [27].

    3) There are reactive currents circulating between the DERs.

    The problem is prominent in a microgrid because the

    impedance between the DERs is not large enough to

    prevent the circulating current. A possible solution is the

    use of a voltage-versus-reactive-power controller, which

    should reduce the set point of the local voltage, at capac-

    itive reactive power, and should increase it, at inductive

    reactive power (see Fig. 6) [2], [13], [20], [27], [122],

    [124]. The PV generator can be used as a synchronous

    generator to compensate the reactive power through the

    inverter [125], [126].

    4) Distance between the loads and the DERs [13], because

    line impedance varies with it, causes an unbalanced flow

    of reactive power [96], [123].The techniques and strategies of microgrid voltage control

    reported in the aforementioned papers are discussed next.

    B. Control Techniques and Strategies

    Nested Control Loops: The term refers to two control loops

    [22], [56], [119]: inner and outer. The inner loop is placed

    around the inductor and the VSI to form a controlled current

    source (current control loop), whereas the outer loop is a

    voltage control loop, which works on the voltage error, setting

    the required current for the inner loop. The voltage control

    loop aims to provide better tracking of slow changes in theoutput-voltage reference signal and to minimize the output-

    voltage errors caused by load output current disturbances [40],

    [56], [119].

    MGCC: As mentioned in Section III, there are three control

    layers in microgrids, and the MGCC is the second layer, which

    is responsible for keeping the voltage at the PCC between the

    specific limits [4], [6], [7], [23], [26], [27], [42], [44], [111].

    V/fInverter Control: This is not a new control technique.It has been used [58] to illustrate that, during islanded mode,

    voltage and frequency are controlled by the DER converter.

    Voltage Control Loop: Despite this terms frequent use [35],

    [41], [56], [104], [107], [108], [110], [116], [117], [119], [127],

    it represents neither a control technique nor strategy but onlydescribes the controller that controls voltage.

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    EID et al.: CONTROL METHODS AND OBJECTIVES FOR ELECTRONICALLY COUPLED DERS IN MICROGRIDS 5

    VQD Controller: The voltage-versus-reactive-power droop

    (VQD) control strategy is one of the most famous and important

    strategies used to control voltage during islanded mode [2],

    [13], [20], [23], [27], [42], [104], [110], [122]. It mainly ensures

    that the circulating reactive current between the sources does

    not exceed the DER ratings. A droop controller for voltage

    versus reactive power is thus required, increasing the localvoltage set point when the DER generates inductive reactive

    power (conversely, the set point reduces when Q becomescapacitive) [2], [20] (see Fig. 6).

    Current-Controlled MC: One of the purposes of the current-

    controlled matrix converter (MC) [120] is to regulate voltage at

    the load terminals. It must thus feed a specific amount of current

    to the load, and therefore controls the load current, keeping the

    terminal voltage at the desired level.

    VPD: Unlike the VQD controller, the voltage power droop

    (VPD) technique shows that microgrid voltage depends on

    active power balancing and not on reactive power [116], [117].

    Reference [117] suggests a control scheme that allows a sin-

    gle voltage source converter (VSC) to operate in an inten-

    tional islanding mode but not parallel with other VSCs in

    the same islanded microgrid. This is a problem overcome by

    VPD/frequency-reactive power boost (FQB) controllers [116]

    that allow control of multiple VSCs in the same microgrid.

    In all the control schemes that use voltage power or VPD,

    proportionalintegral controllers are essential to many of them

    [16], [44], [94], [96], [104], [116], [117], [120], [128], [129].

    C. Voltage Stability Results Comparison

    Performance evaluations of the voltage stability in the afore-

    mentioned papers are assessed by computer simulation. In[120], the current-controlled MC is used to regulate the PCC

    voltage. A sudden load is switched on then off during 0.06 s,

    a 0.05-p.u. voltage drop occurs when the load connected, and

    a 0.04-p.u. voltage rises when the load disconnected. The

    proposed controller gets the voltage back to the desired value

    within 30 ms. In [107], a unified control strategy is used, which

    benefits from both the droop method and the active feedback

    compensation. During islanded mode, a three-phase-to-ground

    fault strikes one of the buses for 0.1 s, and after 0.5 s, a single-

    phase-to-ground fault strikes the same bus, for 0.1 s. Both

    faults have an impedance of 1.0 m. During the three-phase-to-

    ground fault, the bus voltage was almost zero. Then, after thefault cleared, the controller gets the voltage back to the desired

    voltage within 0.05 s. At the single-phase-to-ground fault, the

    voltage is distorted due to the unbalanced nature of this fault.

    Furthermore, the voltage became zero at the phase where the

    fault occurs; then, after the fault cleared, the controller gets

    the voltage back to the desired value within 0.07 s. In [110],

    a hierarchical control approach is simulated, where the primary

    control regulates the voltage on each DER terminal. There are

    three DERs supplying the microgrid during islanded mode.

    When one of the DERs disconnected from the microgrid, the

    voltage dropped 0.031 p.u. and then returned to the desired

    value within 0.5 s. After that, another DER is disconnected,

    causing a 0.11-p.u. voltage drop, which is recovered by thecontroller within 1 s.

    VI. FREQUENCY

    In islanded mode, the DERs have to control the microgrid

    frequency cooperatively and synchronously with each other.

    Since there is no dominant source during islanded mode, fre-

    quency control and synchronization is a challenge [6][8], [40].

    In a conventional power system, synchronous machines play a

    main role in achieving synchronization and frequency stability,

    i.e., a role that microgrid inverters must now assume [42],

    [44]. The line frequency range should not exceed the preset

    values. The minimum and maximum ranges of the frequency

    [16] are 4851 Hz and 59.360.5 Hz, for 50-Hz and 60-Hz

    grids, respectively. Microgrid frequency has been much studied

    [2], [3], [6][8], [11][14], [16], [20], [23], [25], [26], [40]

    [42], [44], [58], [94], [103], [105], [107], [109], [110], [116],

    [120], with the general aim of overcoming the frequency insta-

    bility caused by the factors listed below.

    A. Factors Affecting Frequency Stability

    1) Battery voltage exceeding the preset value through over-

    charging affects demand and supply balancing, causing

    frequency disturbance at the PCC [16], [43].

    2) Variation in load or generation affects line frequency

    because the demand has to be the same as the supply

    instantaneously [12], [25], [109].

    3) Unintentional islanding may cause frequency deviation

    because some imported or exported power will be lost

    suddenly [26].

    The aforementioned papers used various techniques and strate-

    gies for microgrid frequency control.

    B. Control Techniques and Strategies

    FPD: Real power versus system frequency is the most fa-

    mous and popular technique [2], [6][8], [13], [16], [20], [23],

    [40], [41], [44], [58], [94], [103], [106], [107], [109], [110].

    It uses microgrid frequency to balance system-generated active

    power. It is proven to be robust and seamlessly adapts to power

    system variations. The relation between frequency and real

    power of each DER can be expressed as

    f1= fo Ku(P1 Po) (1)

    where Ku is the droop constant of unit output power control

    mode, f1

    and P1

    are respectively the new frequency and theDER output power, and fo and Po are the initial operationpoints. When the load increases, the DER output power also

    increases, associating with frequency reduction, as shown in

    (1). Fig. 7 shows the frequency-versus-active-power droop

    (FPD) characteristic. There are two DERs (a and b), operating

    at f. When the power shares of any DER increase for anyreasons (e.g., intentional or unintentional islanding or a demand

    hike), the new operating points for power become Pa1 and Pb1instead ofPaoand Pbo. The frequency thus sags to a new valuef1, which is below the lower limit. Consequently, then, a newoperating line for each unit forms to return the system to the

    preset frequency values.

    Current-Controlled MC: One of the tasks of this controller[120] is to keep the frequency constant. To do so, the MC

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    6 IEEE SYSTEMS JOURNAL

    Fig. 7. FPD characteristics.

    feeds the load a specific amount of current, i.e., current control

    forces the MC current to follow the reference value, keeping the

    frequency constant within the source rating.

    FQB Controller: This is the proposed technique, in which

    the frequency depends on the reactive power (whereas powerbalancing determines microgrid voltage) and which is in stark

    contrast with a conventional power system. Because there is no

    generator with rotational inertia in microgrids, the PCC capac-

    itor dynamics have to control the relation between frequency

    and reactive power [9], [26], [116], [117].

    C. Frequency Results Comparison

    Many results have been established in the aforementioned

    papers to keep the microgrid frequency stable. In [120], the

    current-controlled MC is used to keep the frequency constant

    at 50 Hz. Although there is a sudden load switching on thenoff, the simulation shows that the controller keeps the frequency

    stable. In [107], a unified control strategy is used, which bene-

    fits from both the droop method and the active feedback com-

    pensation. During islanded mode, a three-phase-to-ground fault

    strikes one of the buses for 0.1 s, and after 0.5 s, a single-phase-

    to-ground fault strikes the same bus, for 0.1 s. Both faults have

    an impedance of 1.0 m. After the three-phase-to-ground faultcleared, the controller gets the frequency back to the desired

    value within 0.025 s. After the single-phase-to-ground fault

    cleared, the controller gets the frequency back to the desired

    value within 0.05 s. In [12], the microgrid frequency is 50 Hz.

    After a 100-kW load is switched on during islanded mode,

    the frequency dropped to 49.5 Hz; thereafter, the frequency

    regulator reacts immediately and brings the frequency back to

    50 Hz, within 2 s.

    VII. L SQ A ND P

    An essential criterion a power management system (PMS)

    considers is the LS among DERs, to minimize system power

    losses [8]. LS ensures that each DER supplies its preset pro-

    portion at the steady state [109]. It becomes more complicated

    in microgrids since there are multiple DERs; more attention

    is needed during islanded mode. Many have studied power

    sharing [2], [6][8], [11], [16], [20], [22], [25][27], [40][42],[44], [56], [57], [76], [96], [103][110], [114], [116], [119],

    TABLE ITYPICAL L IN E-I MPEDANCEVALUES

    [130], and they have shown that the main PMS considerations

    are the following:

    1) minimizing system power loss during LS;

    2) considering the many limits of each DER, including type,

    generation cost, maintenance interval, and environmental

    impact;

    3) maintaining power quality, including keeping the har-

    monic distortion low and maintaining the voltage profile;

    4) restoring voltage/frequency during and after transients;

    5) improving the dynamic response;6) maintaining system operation within the stability margin.

    Among the three levels of control in microgrids, the sec-

    ondary control (MGCC) is responsible for LS [6], [104], [110],

    [114], [119]. Because the voltage source presents low output

    impedance, an accurate synchronization system is extremely

    necessary to operate many VSCs in parallel. LS among a cluster

    of VSCs, operating in islanded mode, in a microgrid is a

    function of the value of their output impedance [41].

    A. Factors Affecting LS Accuracy

    1) The resistive nature (low X/R ratio) of distributionnetworks affects accuracy of LS [27], [42], [44], [96],

    [103], [105], [131]. Table I shows the line R/X ratiosfor different line voltages [132].

    2) Variation of the output impedance [27], [95], [96], [103],

    [130].

    3) Variation of the inverter filter parameters may affect

    power sharing if the voltage is not controlled by the

    MGCC [119].

    4) Harmonic current (which should be taken into account

    when sharing nonlinear loads, to balance active and reac-

    tive power) [96], [110].

    5) The distance between the DERs in a microgrid can

    change the inverter output and line impedance, affecting

    LS [96].

    Many literatures propose controlling the power sharing with-

    out any wire connection between the DERs.

    B. Control Techniques and Strategies

    Droop Control Method: The droop control method is based

    on the well-known correlation between the active power flows

    with the frequency and the reactive power with the voltage.

    The relation shows that, when active power increases through

    load increase, the frequency will decrease; the opposite happens

    when load decreases. The droop method allows DERs to shareactive power automatically by measuring the local variables,

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    EID et al.: CONTROL METHODS AND OBJECTIVES FOR ELECTRONICALLY COUPLED DERS IN MICROGRIDS 7

    ensuring system reliability and flexibility [7], [26], [75], [96],

    [103], [104], [106], [109], [116], [130].

    Many droop control schemes have been proposed for linear

    LS [72], [75], [77], [84], [133][135]. There are, however,

    still only a few controllers for sharing nonlinear loads [77],

    [84]. In [77], the proposed controller achieved LS by adjusting

    the output-voltage bandwidth with the distortion componentspresent. This way, the harmonic voltage components were

    drooped, encouraging the DERs to share the current harmonics.

    In another way [84], to produce a proportional droop in the

    corresponding harmonic voltage term, every single term of the

    harmonic current was used.

    Despite the many advantages of the droop method, its draw-

    backs limit its applications. Its accurate power sharing affects

    frequency and voltage, it has slow transient response (as it

    requires low-pass filters), its sharing of harmonic current is un-

    balanced, and it is highly affected by inverter output impedance

    and line impedance [71], [88], [103], [110]. The drawbacks are

    overcome as follows.

    Improvements to the Conventional Droop Method: Because

    dependence on the droop method increased in microgrids,

    research produced the following solutions.

    1) Virtual output impedance is widely used to achieve

    accurate LS in microgrids [41], [72], [96], [100], [103],

    [104], [108], [110], [130], [136]. It emulates lossless re-

    sistors of reactors to fix the output impedance of the units,

    eliminating the effect of the output and line impedances

    on LS and improving the steady-state and transient re-

    sponses of the parallel-connected inverters. Other, virtual

    reactors and resistors [18], [137] have been included into

    the droop method, with the additional purpose of sharingthe harmonic-current content properly [110].

    2) D ddroop characteristicpresents droop character-

    istics between the different frequency components of the

    controlled signal (the ac voltage) and the active power,

    the reactive power, and the distorted power (D) [27],

    [72], [138][140] The use of VQD is avoided and the

    line-impedance effect eliminated.D ddroop can alsocompensate the distorted powers that result from nonlin-

    ear and unbalanced loads. d is the drooping frequencycomponent caused by the distorted power.

    3) Proper design of the output impedance; this can reduce

    the impact caused by changes in the line impedance[95], [103]. Although the inverter output impedance can

    be designed well, the line impedance is still unknown,

    causing unbalanced flow of reactive power [77].

    4) Injection of high-frequency signals: unbalanced flow of

    reactive power in the system can be solved by injecting

    high-frequency signals into the power lines [72]. Such an

    injection, however, limits the power rating of the DER

    units and increases voltage distortion at their outputs [27],

    [72], [96].

    5) A central voltage controller regulates the voltage pro-

    file, preventing the system from being affected by both

    variations in the inverter filter parameters, or voltage

    controller gains neither the steady-state voltage controlnor the power sharing [119].

    Fig. 8. Equivalent circuit of distribution network.

    Fig. 9. Distribution network, in phasor.

    Fig. 10. Resistive impedance curves for (a) voltage versus active power and(b) frequency versus reactive power.

    TABLE IIDROOP M ETHODS TRATEGY D EPENDING ONO UTPUT I MPEDANCE

    6) Overcoming the problem of high R/X ratio: the re-sistivity of the low-voltage networks makes precise LS

    unachievable [42], [44], [105], [108], [131]. In terms of

    voltage harmonic mitigation, handling of short circuits,

    and effectiveness of frequency and voltage control, the

    approach proposed in [96] and [108] is superior than

    existing methods because it takes into account the R-to-Xdistribution-line ratio.

    7) Sharing of harmonic current, as proposed in [96] and

    [110] prevents power from circulating during sharing of

    nonlinear loads. The harmonic currents are considered, so

    that the active and reactive powers can be balanced moreaccurately than they are in the conventional droop method.

    8) Soft-start operationis necessary to avoid the initial cur-

    rent peak andto createa seamless hot-swap operation[72].

    9) Load voltage controlis a new LS strategy used, instead

    of a conventional load-frequency-based power dispatch-

    ing scheme, when a system uses a fixed frequency [109].

    The output voltage of each DER is adjusted to keep the

    load voltage stable. It makes for a simple and effective

    system.

    FPD/VQD Control: VPD/FQB control has been reported in

    many papers [2], [7], [13], [20], [25], [26], [40], [104], [106],

    [109], [110], [116]. Figs. 6 and 7 illustrate the VQD controllerand the FPD characteristic, respectively. The droop method uses

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    8 IEEE SYSTEMS JOURNAL

    TABLE IIISUMMARY OF M ICROGRIDC ONTROLO BJECTIVES, PROBLEMS, A ND S OLUTIONS

    the conventional power flow; (2) and (3) are derived in Fig. 8,

    as in [41] and [104]; this is achieved with the two important

    assumptions explained as follows:

    P =VA

    Z cos V

    A VBZ

    cos( + A B) (2)

    Q=VAZ

    sin VA VB

    Z sin( + A B) (3)

    = A B. (4)

    Assumption I: In medium- and high-voltage systems, theinductive components of the line impedance are very high

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    EID et al.: CONTROL METHODS AND OBJECTIVES FOR ELECTRONICALLY COUPLED DERS IN MICROGRIDS 9

    TABLE III(Continued.) S UMMARY OFM ICROGRIDC ONTROLO BJECTIVES, PROBLEMS, A ND S OLUTIONS

    compared with the resistive components [132]; hence, the re-

    sistance can be neglected and the system considered as having

    pure inductive output impedance (R= 0, Z= X, and =90). The active and reactive powers are thus

    P =VA VB

    X sin (5)

    Q=VA VB

    X cos

    VB2

    X (6)

    where is the phase of the output impedance, and is the phaseangle between the inverter output and the Microgrid voltages.

    The large filter inductor of the inverter justifies the assump-

    tion. The line impedance, however, is mainly resistive in low-voltage networks, invalidating the assumption. An additional

    output inductor, creating an LCL output filter, can solve this.Another solution is by programming a virtual output impedance

    into the control loop in Section VII (in improvements to the

    conventional droop method).

    Assumption II: The angle is small; hence, sin almostequals and cos 1. Consequently

    P =VA VB

    X (7)

    Q=VB(VA VB)

    X (8)

    where P and Q are the active and reactive powers, respectively,and VA and VB are the voltages in buses A and B, respectively.Fig. 9 shows a simplified system, in a phasor diagram.

    VPD/FQB Controller: Low-voltage microgrids are known

    to be resistive. If this is considered, a better control can be

    achieved. The distance between the DERs makes wire in-

    terconnections difficult; hence, droop control is used. In the

    VPD/FQB controller, there is a direct relation between voltage

    and active power and between frequency and reactive power

    [16], [103], [116]. Fig. 10(a) shows that, when power increases,

    voltage reduces; hence, to get the voltage in any operating

    time, the power variation (nP) is subtracted from the voltage

    at no load (E). Fig. 10(b) relates the reactive power withfrequency. The reactive power ranges from positiveQmaxat the

    inductive load to Qmaxat the capacitive load. The controllercan measure the frequency by adding the frequency at no load

    ()plus the change in reactive power (mQ).Table II summarizes the equations used for the droop

    method, for different output impedances (inductive and resis-

    tive) [96].

    C. LS Results Comparison

    In [107], two DERs are simulated to feed the load during

    islanded mode. A three-phase-to-ground fault strikes one of

    the buses for a 0.1 s, and after 0.5 s, a single-phase-to-ground

    fault strikes the same bus, also for 0.1 s. Both faults have animpedance of 1.0 m. The proposed unified controller revertsthe active and reactive power to their predisturbance values

    once the faults are cleared. In [130], two cases are simulated,

    i.e., pure resistive and resistiveinductive load, to investigate

    the proper shear between two DERs during islanded mode. The

    simulation shows that, after the compensation is started, the two

    DERs properly shared the active and reactive power. In [104],

    after the two DERs disconnected from the grid, both of them

    shared the overall load. Then, when one of the DERs discon-

    nected, the other supplied all the power to the microgrid with a

    proper transient response, as well as the fine power regulation

    of the system. In [22], after transiting to islanded mode, thetwo DERs shared the increased active power demand propor-

    tionately, while the reactive power sharing is slightly dispro-

    portional because the presence of the line impedance between

    the two DERs. In [110], three DERs produced microgrid power

    during islanded mode. The DERs switched off one by one,

    keeping only one DER supplying the whole microgrid load. The

    controller ensured smooth active power sharing during DER

    disconnections.

    VIII. SUMMARY

    As this paper illustrates, there are three microgrid control

    functions: VR, FR, and LS. Table III summarizes the problemsof microgrid control and their solutions.

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    10 IEEE SYSTEMS JOURNAL

    IX. CONCLUSION

    The microgrids have many attractive features that make its

    research promising and boost its competitiveness in penetrating

    renewable energy. Microgrid architecture and classifications

    have been reviewed here, along with the control techniques

    and strategies for islanded operation mode. Challenges to

    microgrids during this mode include maintaining the voltage

    amplitude and frequency, and optimal power sharing which

    ensures minimum power losses, high power quality hence low

    harmonic distortion, and operating the DERs on their preset

    values after any disturbance occurs. A robustly controlled mi-

    crogrid ensures seamless import/export of active and reactive

    powers by the main grid and continuous supply of the critical

    load during islanded mode. These lead to a flexible and smart

    power system.

    ACKNOWLEDGMENT

    The authors would like to thank the University of Malaya

    Power Energy Dedicated Advanced Centre (UMPEDAC),

    where this work was carried out.

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    Bilal M. Eid (S11) received the B.Sc. degree fromSanaa University, Sanaa, Yemen, in 2008 and theM.Sc. degree in electrical energy and power sys-

    tems in 2011 from the University of Malaya, KualaLumpur, Malaysia, where he is currently workingtoward the Ph.D. degree in the field of microgrids

    and renewable energy integration at the Faculty ofEngineering.

    Since 2011, he has been a Research Assistantwith the Power Energy Dedicated Advanced Cen-tre (UMPEDAC), University of Malaya. His main

    research interests include microgrids, smart grids, power conversion systems,renewable energy, photovoltaic inverters, and dcdc converters.

    Nasrudin Abd Rahim(M89SM08) was born inJohor, Malaysia, in 1960. He received the B.Sc.

    (Hons.) and M.Sc. degrees from the University ofStrathclyde, Glasgow, U.K., in 1985 and 1988, re-spectively, and the Ph.D. degree from Heriot-WattUniversity, Edinburgh, U.K., in 1995.

    He is currently a Professor with the University ofMalaya, where he is the Director of the Power En-

    ergy Dedicated Advanced Centre (UMPEDAC) andthe Chairman of the University of Malaya AdvancedEngineering and Technology Research Cluster. His

    research interests include power electronics, real-time control systems, electri-cal drives, and renewable energy systems.

    Prof. Rahim is a Fellow of the Academy of Sciences Malaysia and theInstitution of Engineering and Technology, U.K. He is a Chartered Engineer.

    Jeyraj Selvaraj received the B.Eng.(Hons.) degreefrom Multimedia University, Cyberjaya, Malaysia,in 2002, the M.Sc. degree in power electron-ics and drives jointly from the University ofBirmingham, Birmingham, U.K., and the Universityof Nottingham, Nottingham, U.K., in 2004, and thePh.D. degree from the University of Malaya, KualaLumpur, Malaysia, in 2009.

    He is currently with the Power Energy Dedi-

    cated Advanced Centre (UMPEDAC), University ofMalaya.

    His research interests include single- and three-phase multilevel inverters,digital current-control techniques, photovoltaic inverters, and dcdc converters.

    Ahmad H. El Khateb (M10) received the B.Sc. andM.Sc. degrees from the Islamic University of Gaza,Gaza, Palestine, in 2005 and 2007, respectively, andthe Ph.D. degree in electrical engineering from theUniversity of Malaya, Kuala Lumpur, Malaysia, in2013.

    He was a Lecturer with the Department of Electri-cal Engineering, Islamic University of Gaza, and hehad spills with Al-Azhar University, Cairo, Egypt,

    and the University College of Applied Sciences,Gaza, Palestine. He is currently with the Power

    Energy Dedicated Advanced Centre (UMPEDAC), University of Malaya. Hismain research interests include power electronics, digital control, dc-to-dcconverters, photovoltaic power generation, and grid integration.

    Dr. Ahmad is a Reviewer for I EEE TRANSACTIONS, IET TRANSACTIONS,and several conferences.