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Development and Performance Verification of Frequency Control Algorithm and Hardware Controller Using Real-Time Cyber Physical System Simulator

Author

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  • Tae-Hwan Jin

    (School of Mechanical Engineering, Yeungnam University, Gyeongsan 38541, Korea
    Energy System Research Center, Korea Textile Machinery Convergence Research Institute, Gyeongsan 38542, Korea)

  • Ki-Yeol Shin

    (School of Mechanical Engineering, Yeungnam University, Gyeongsan 38541, Korea)

  • Mo Chung

    (School of Mechanical Engineering, Yeungnam University, Gyeongsan 38541, Korea
    A1 Engineering, Inc., Gyeongsan 38542, Korea)

  • Geon-Pyo Lim

    (Korea Electric Power Research Institute, Korea Electric Power Corporation, Naju 58277, Korea)

Abstract

Frequency stability is a critical factor in maintaining the quality of the power grid system. A battery energy storage system (BESS) with quick response and flexibility has recently been used as a primary frequency control (PFC) resource, and many studies on its control algorithms have been conducted. The cyber physic system (CPS) simulator, which can perform virtual physical modelling and verification of many hardware systems connected to the network, is an optimal solution for the performance verification of control algorithms and hardware systems. This study introduces a large-scale real-time dynamic simulator that includes the national power system. This simulator comprises a power grid model, an energy management system (EMS) model, a BESS system model, and a communication model. It performs the control algorithm performance evaluation and the hardware controller’s response performance evaluation. The performance of the control algorithm was evaluated by tracking the power system’s characteristic trajectory in the transient state based on the physical response delay time between the output instruction of the frequency regulation controller (FRC), a hardware controller, and the output response of the BESS. Based on this, we examined the response performance evaluation results by linking them to the optimally designed actual FRC. As a result, we present an analysis of the BESS’s characteristic trajectories in the transient state, such as frequency, power system inertia, and power grid constant, and provide FRC response performance evaluation results at a level of 163 ms, by connecting the BESS installed at the actual site with the CPS simulator.

Suggested Citation

  • Tae-Hwan Jin & Ki-Yeol Shin & Mo Chung & Geon-Pyo Lim, 2022. "Development and Performance Verification of Frequency Control Algorithm and Hardware Controller Using Real-Time Cyber Physical System Simulator," Energies, MDPI, vol. 15(15), pages 1-24, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5722-:d:881840
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    References listed on IDEAS

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    1. Michele Garau & Emilio Ghiani & Gianni Celli & Fabrizio Pilo & Sergio Corti, 2018. "Co-Simulation of Smart Distribution Network Fault Management and Reconfiguration with LTE Communication," Energies, MDPI, vol. 11(6), pages 1-17, May.
    2. Md Ruhul Amin & Michael Negnevitsky & Evan Franklin & Kazi Saiful Alam & Seyed Behzad Naderi, 2021. "Application of Battery Energy Storage Systems for Primary Frequency Control in Power Systems with High Renewable Energy Penetration," Energies, MDPI, vol. 14(5), pages 1-22, March.
    3. Seyedmahdi Izadkhast & Rafael Cossent & Pablo Frías & Pablo García-González & Andrea Rodríguez-Calvo, 2022. "Performance Evaluation of a BESS Unit for Black Start and Seamless Islanding Operation," Energies, MDPI, vol. 15(5), pages 1-20, February.
    4. Woo Yeong Choi & Kyung Soo Kook & Ga Ram Yu, 2019. "Control Strategy of BESS for Providing Both Virtual Inertia and Primary Frequency Response in the Korean Power System," Energies, MDPI, vol. 12(21), pages 1-17, October.
    5. Watcharakorn Pinthurat & Branislav Hredzak, 2020. "Decentralized Frequency Control of Battery Energy Storage Systems Distributed in Isolated Microgrid," Energies, MDPI, vol. 13(11), pages 1-18, June.
    6. Karl Stein & Moe Tun & Marc Matsuura & Richard Rocheleau, 2018. "Characterization of a Fast Battery Energy Storage System for Primary Frequency Response," Energies, MDPI, vol. 11(12), pages 1-12, December.
    7. Xia, Quan & Yang, Dezhen & Wang, Zili & Ren, Yi & Sun, Bo & Feng, Qiang & Qian, Cheng, 2020. "Multiphysical modeling for life analysis of lithium-ion battery pack in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    8. Julius Abayateye & Silvia Corigliano & Marco Merlo & Dan Zimmerle, 2022. "BESS Primary Frequency Control Strategies for the West Africa Power Pool," Energies, MDPI, vol. 15(3), pages 1-25, January.
    9. Hyeongpil Bang & Dwi Riana Aryani & Hwachang Song, 2021. "Application of Battery Energy Storage Systems for Relief of Generation Curtailment in Terms of Transient Stability," Energies, MDPI, vol. 14(13), pages 1-14, June.
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