SMART GRID INTEROPERABILITY PANEL WINTER 2012 FACE-TO-FACE IRVING, TEXAS DEC. 3-6, 2012 T&D DEWG Webconference December 3, 2012.

S M A R T G R I D I N T E R O P E R A B I L I T Y P A N E L

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T&D DEWG WebconferenceDecember 3, 2012

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T&D DEWG Meeting Agenda – 12.03.2012

• NIST/SGIP Update – Jerry SG International Cooperation Workshop: Korea & U.S. – December 7,

Irving TX SGIP 2.0 PAP12, PAP8/14 Update DRGS Update

• TnD DEWG Activities MultiSpeak Catalog of Standards Artifacts – Gary McNaughton

• Transmission Bus Load Model (TBLM) (Nokhum Markushevich)• Emerging Topics - Alarms and Event Management over the Smart Grid• Next Meeting – Wednesday, December 17, 4:00 PM Eastern

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PAP Updates

• PAP12 Update IEEE 1815-2010, IEEE 1815-2012 “Standard for Electric Power Systems

Communications - Distributed Network Protocol (DNP3)” IEEE 1815.1 “IEEE Draft Standard for Exchanging Information Between

Networks Implementing IEC 61850 and IEEE Std 1815 (Distributed Network Protocol - DNP3)”

• PAP8 IEEE 61968-3 “Application integration at electric utilities - System interfaces for

distribution management - Part 3: Interface for network operations” UML Model of MultiSpeak

• PAP14 IEEE C37.239-2010 “Standard for Common Format for Event Data Exchange

(COMFEDE) for Power Systems” IEEE PSRC H5 Committee working on guidelines titled; “A common format for

configuration of Intelligent Electronic Devices (IED’s)”

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MultiSpeak Catalog of Standards Artifacts – Gary McNaughton

SGIP CoS – Standards Information Form Criteria and Analysis Report: MultiSpeak Specification SGIP CoS - Development Process Statement: MultiSpeak

Specification Next Steps

S M A R T G R I D I N T E R O P E R A B I L I T Y P A N E L

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UPDATE ON THE USE CASE FOR THE TRANSMISSION BUS LOAD MODEL

(TBLM)

Nokhum MarkushevichSmart Grid Operations Consulting

[email protected]

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Information Exchange between T&D Domains6

T&G devices

Subst. LTC, Shunts,

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g. apps

AMI processo

rDER/ES processo

rDR processo

rPEV processo

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PMU

SCADA

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-tion

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Distribution domain

T&G domains

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Scenarios for TBLM Use Cases

1. Develop aggregated DER capability curves for TBLM2. Develop aggregated model of dispatchable load for TBLM3. Develop aggregated real and reactive load-to-voltage dependencies4. Develop aggregated real and reactive load-to-frequency dependencies5. Develop aggregated real and reactive load dependencies on Demand response control signals6. Develop aggregated real and reactive load dependencies on dynamic prices 7. Adapt aggregated real and reactive load models to current weather conditions 8. Develop aggregated real and reactive load dependencies on ambient conditions and time for the

short-term forecast of the aggregated load

9. Develop models of overlaps of different load management functions, which use the same load under different conditions.

10. Assess the degree of uncertainty of TBLM component models.11. Develop Virtual Power Plant (VPP) Model12. Determine the possible shifting of load from/to the transmission bus13. Determine the abnormal states of the TBLM after major power system emergencies

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Develop Virtual Power Plant (VPP) Model

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Definition of VPP*

A virtual power plant (VPP) aggregates the capacity of many DGs, Demand Response, and Energy Storage (Megawatts and Negawatts).

VPP creates a single operating profile from a composite of the parameters of each DER that should incorporate the impact of the network on their aggregate output.

As any large-scale generator, the VPP can be used to facilitate DER trading in various energy markets and can provide services to support transmission and distribution system management.

* Based on “Flexible Electricity Networks to Integrate the Expected Energy Evolution, by J. Corera Iberdrola and J. Maire.

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VPP model as a component of TBLM

Consists of distributed resources from the same transmission bus It is represented, at the distribution-transmission interfaces, as an

aggregated profile which includes the influence of the local network on the VPP output.

It also represents the composite DER cost and operating characteristics.

The model of VPP provides the system operator with visibility of energy resources connected to the distribution network, allowing distributed generation and demand to contribute to transmission system management.

VPP can also facilitate the use of distributed resource capacity in the distribution networks , e.g., for FLISR and/or IVVWO.

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Basic inputs for the VPP

DER inputs for the localized (technical) VPP Operating schedule Bids & Offers / marginal cost to adjust position Operating parameters

Other inputs: Real-time local network status Loading conditions Network constraints

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VPP actions based on the input data12

Commercial VPP

Technical VPP

DMS1. Initial Input

5. Corrections

2. Initial model

6. Final model

3. Constraints, requests 4. Adjustments to constraints, requests

TBLM

7. Final VPPmodel &adjusted other components of TBLM .

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DMS actors involved in VPP modeling for the TBLM

DER Data Management System DER model processor Load Model Processor Load Management System Distribution Operation Modeling and Analysis to determine the

impact of VPP on distribution operations: adequacy, power quality, efficiency, and operational constraints

Integrated Volt/var/Watt control application to determine the impact and availability on Volt/var/Watt optimization

Distribution Contingency Analysis to determine the impact on reliability

TBLM developer application to adjust other TBLM components.

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Determine the possible shifting of load from/to transmission bus

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Narrative

For the most of the transmission buses, a portion of the load fed from the bus can be transferred to other busses without violations of the operational limits.

Such transfer may change the economics of both transmission and distribution operations (changes of LMPs, losses, of volt/var control benefits, etc.).

The efficiencies of these changes may be in conflicts with each other, e.g., the LMPs may reduce, while the losses in distribution can increase.

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Narrative (cont.)

In some cases a reallocation of loads among transmission buses is needed as preventive and even corrective measures in case of a contingency.

There may be several alternatives for the shifts of load from one bus to other buses. The alternatives may differ by the amount of load that can be shifted and by the economic and reliability results.

The alternatives of load shifting change with the change of the customer loads, DER operations, and current DR statuses. Hence, the available load shifts should be updated in the near-real time fashion.

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Objective of the scenario

Determine all plausible alternatives of load that can be shifted from/to the transmission bus

Provide the EMS with the distribution-side economic and reliability results of the shifts of load

To be used by EMS to improve overall efficiency and reliability.

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DMS actors involved

DMS Data Management Systems DMS Topology Model processor DMS multi-level feeder reconfiguration application in short-

term look-ahead study mode to determine all technically feasible alternatives

DMS IVVO application to determine the changes in the efficiency of distribution operations under the new configurations

DMS contingency analysis for the reconfigured circuits (to assess the change in the reliability)

TBLM developer application.

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Determine the abnormal states of the TBLM after major power system emergencies

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Narrative

After the development of the emergency situation is stopped, and the system is in a quasi-steady-state condition, there are disconnected customers (life-support systems), disconnected DER, and microgrids, activated demand response, disabled demand response means discharged energy storage devices, abnormal volt/var parameters due to IVVWO in emergency mode, abnormal circuit connectivity, etc.

All these abnormalities have their prices, constraints, and restoration priorities.

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Narrative (cont.)

Different orders of restoration to the normal states of different components have different impacts on the restoration process. Restoration of some components may impact the states of other

components. For instance, restoration of some disconnected loads may reduce

the voltage below the limits, which will force the IVVWO to increase the overall voltage and by this to increase the load even more.

The cold load pickup should also be determined. Transmission operations in the after-emergency state may also

impose constraints on the restoration in distribution, e.g., Reduced loading limits of a transmission interface Limited generation reserve, etc.

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Objective of the scenario

To inform the transmission and distribution control systems about the post-emergency states of the different component in the distribution system to define the appropriate priorities of restoration

To take into account the transmission-side constraints for prioritization of distribution restoration.

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DMS actors involved

DMS Data Management Systems DMS Topology Model processor to determine and analyze the after-emergency

topology (disconnected elements, abnormal states) Load Model processor (different net load patterns due to backup generators, cold

load pickup, etc.) DER Model processor (abnormal states and modes of operations) Load Management System (states of DR) Distribution Operation Modeling and Analysis for after-emergency situational

awareness DMS multi-level feeder reconfiguration application in short-term look-ahead study

mode to determine the topology restoration alternatives DMS IVVO application to adjust Volt/var/Watt parameters to the restoration

alternatives TBLM developer application

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Conclusions.

New object models, attributes, and information exchanges should be developed to accommodate the following transmission and distributing operational needs: Integrating Virtual Power Plants into distribution systems

and serving higher-level control areas Shifting of load from one transmission bus to others for

transmission operation purposes Restoration of normal operations after major power system

emergencies.

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Future work on TBLM

Completion of the development of the TBLM use case Development of a list of possible new object models Development of a list of possible new information

exchanges Update of the Distribution Grid Management use cases to

accommodate the development and utilization of the TBLM

Development of use cases for EMS applications with integration of the TBLM.

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Questions?

Thank you!

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Emerging Topics - Alarms and Event Management over the Smart Grid

IEEE C37.239-2010 “Standard for Common Format for Event Data Exchange (COMFEDE) for Power Systems”

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Next TnD Webmeeting

• Next Meeting – Wednesday, December 17, 4:00 PM Eastern