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Frequency Challenges of the Future Power System 3rd International Workshop DynPOWER Dynamic Stability Challenges of the Future Power Grids Hector Chavez, Ph.D. EE Department U. of Santiago, Chile LInES Laboratorio de Integración de Energías Sustentables
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LInES · 2019. 9. 26. · Frequency Challenges of the Future Power System. 3rd International Workshop DynPOWER Dynamic Stability Challenges of the Future Power Grids. Hector Chavez,

Feb 02, 2021

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  • Frequency Challenges of the Future Power System

    3rd International Workshop DynPOWER Dynamic Stability Challenges of the Future Power Grids

    Hector Chavez, Ph.D.EE Department

    U. of Santiago, Chile

    LInESLaboratorio de Integración de

    Energías Sustentables

  • Agenda

    1. About Chile, U. of Santiago and the Chilean Power Sys

    2. Situational awareness and model representativeness

    3. Economic operation and frequency control 4. Lower inertia and frequency control

  • Chile

    https://brilliantmaps.com/chile-long/https://www.beautifulworld.com/south-america/chile/

    https://brilliantmaps.com/chile-long/https://www.beautifulworld.com/south-america/chile/

  • U. Of Santiago

    U. de Santiago (1981)

    Escuela de Artes y Oficios (1849) Universidad Técnica del Estado (1947)

    QS 13 in LA 2019

  • The sustainable Energy Integration Laboratory

    - Kick off in March 2014.- 1 Associated Prof. / 2 Staff- 5 research projects and various

    equipment initiatives (~ US$ 1MM, 2014 -August 2019).

    - Current Students: 2Ph.D, 6 Master, 7 Undergrads.

    - A complete teaching lab for solar and wind applications; a PDC unit connected to a South American low voltage network

    LInESLaboratorio de Integración de

    Energías Sustentables

  • Medfasee

    http://www.medfasee.ufsc.br/conosur/http://www.medfasee.ufsc.br/temporeal/

    http://www.medfasee.ufsc.br/conosur/http://www.medfasee.ufsc.br/temporeal/

  • The Chilean Power System

    “ISO” type of power system operation. Poor regional interconnections

  • The Chilean Power System

    35297 km of transmission lines

  • The Chilean Power System

    Capacity 2018 Energy 2018

    20% by 2025 as a Renewable target

  • 2. Situational awareness and model representativeness

  • Situation awareness

    https://www.naspi.org/sites/default/files/reference_documents/NASPInet%202%20v1.13%20102518.pdfNASPInet 2.0 Architecture Guidance

    It is happening and we can see it now with PMU!

    Example from Brazil (UFSC)

    0.52 Hz oscillation

    https://www.naspi.org/sites/default/files/reference_documents/NASPInet%202%20v1.13%20102518.pdf

  • Look-ahead awareness

    https://www.naspi.org/sites/default/files/reference_documents/NASPInet%202%20v1.13%20102518.pdf

    NASPInet 2.0 Architecture Guidance

    What if we can see it beforehand?

    https://www.naspi.org/sites/default/files/reference_documents/NASPInet%202%20v1.13%20102518.pdf

  • Actual system at time t

    Simulator

    Model (simple)

    Scenario 1

    Scenario “n”

    Scenario 2

    ….

    Simulated system at time t + k

    Actual system at time t + ε

    ….

    Simulation time k >> ε

    Real time ε

  • SIC Falla 257

    65( )kP MW∆ =

    Chavez, H.; Hesamzadeh, M.; Carlsson, F., A Simplied Model for Predicting Primary Control Inadequacy in the Presence of Wind Power," Sustainable Energy, IEEE Transactions on, vol.7, no.11, pp.271,278, Jan. 2016.

    Freq. Response is identified for different load conditions with a linear 3-order model

    Model parameters can be identified for several demand conditions; data of generator contingencies is needed

    Model representativeness

  • Faster than real time simulationsPMU 1

    PMU 2

    PMU n

    PDC

    Perform Data Identification

    Obtain frequency measurements

    A contingency has occurred ?

    NO

    YES

    Obtain contingency frequency data

    Obtain contingency size from SCADA or estimate

    Store load level, renewable production and identified parameters

    Update parameter identification data base

    “Faster” than real time simulator

    based on reduced-order model

    Real time System conditions

    Look-ahead frequency dynamic

    simulationUnder construction

  • Data Analytic Tool for Clustering Identification based on Dimensionality Reduction of Frequency Measurements, IEEE SGSMA019, College Station, TX. May 2019

    Frequency of synchronous machines in DE, IT, ES and TR following the outage of one generation unit in France.

    Coherency issues

  • 3. Economic operation and Frequency Control

  • Time (minutes)

    0 1 2 3 4 5 6

    Freq

    uenc

    y (H

    Z)

    59.7

    59.75

    59.8

    59.85

    59.9

    59.95

    60

    60.05ERCOT 21:17:09.814322 Sat 18 Feb 2012 (049)

    Governors (primary) get system back to balance

    One run of the RTM to restore deployed primary reserves (tertiary) after 1 min the contingency happened

    Overlapping operation

    Economic operation and AGC will be jointly performing secondary control (US NERC has different performance standards for this and frequency min-to-min regulation)

  • Economic op. + dynamics

    Economic operation:- Reserve

    Assignment

    AGC Model

    Frequency Response model from identification

    Flexibility is accounted for by reserve determination, but it really has a meaning while performing frequency control

    Optimization Differential Equations

  • ResultsDecember 13 of 2017 to January 3, 2018 (Chilean Sys) 4-by-4 frequency actual data

    Simulation

    σ = 0,027281

    σ = 0,0257

    These analysis are needed for frequency control performance standard simulation (ENTSO-E, NERC)

  • Example for Chilean CEN

    A month of simulated economic and AGC operation

  • 4. Lower inertia

  • Inertia remembered

    • Inertia is a battery of kinetic energy

    It is the one thing that makes conservation of energy possible and communicates the state of the balance through the frequency.

    On the Inertia of Future More-Electronics Power Systems, IEEE Journalof Emerging and Selected Topics in Power Electronics

  • Synthetic inertia

    H. R. Chamorro, M. Ghandhari and R. Eriksson, "Wind power impact on power system frequency response," 2013 North American Power Symposium (NAPS), Manhattan, KS, 2013, pp. 1-6.

  • Synthetic inertia

    • Most approaches work; which one is the best?– The test power system is not the same

    amongst the approaches.– Most approaches do not consider the

    dynamics of the system.

    • Difficult to compare

  • Optimal synthetic inertia

    • Optimal control can be used to, for example, minimize the ROCOF of the power system:– Generalized dynamic system to

    represent any power system under any normal operating condition

  • Optimal synthetic inertia

    • Optimal control can be used to, for example, minimize the ROCOF of the power system:– Minimization of the ROCOF as an

    objective function.– Optimal control to ensure stability (H2,

    LQR, LMI).– Distributed control possible.

  • Optimal synthetic inertiaSCADA

    Imbalance

    Under construction

  • Final remarks

    • Situational awareness is important, but we need to prevent bad thing from happening. Data analytics.

    • Markets are getting closer to power system operation. Dynamics+Market.

    • Synthetic inertia has still limited application with no standardization. Fast frequency response definition.

  • Frequency Challenges of the Future Power System

    3rd International Workshop DynPOWER Dynamic Stability Challenges of the Future Power Grids

    Hector Chavez, Ph.D.EE Department

    U. of Santiago, Chile

    LInESLaboratorio de Integración de

    Energías Sustentables

    Foliennummer 1Foliennummer 2ChileU. Of SantiagoFoliennummer 5MedfaseeThe Chilean Power SystemThe Chilean Power SystemThe Chilean Power System2. Situational awareness and model representativeness�Situation awarenessLook-ahead awarenessFaster than real timeFoliennummer 14Faster than real time simulationsFoliennummer 163. Economic operation and Frequency Control�Foliennummer 18Economic op. + dynamics ResultsExample for Chilean CEN4. Lower inertia �Inertia rememberedSynthetic inertiaSynthetic inertiaOptimal synthetic inertiaOptimal synthetic inertiaOptimal synthetic inertiaFinal remarksFoliennummer 30