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Designing an Energy Storage System Fuzzy PID Controller for Microgrid Islanded Operation

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  • Jong-Yul Kim

    (New & Renewable Energy System Research Center, Korea Electrotechnology Research Institute/28-1, Seongju-dong, Changwon 641-120, Korea)

  • Hak-Man Kim

    (Department of Electrical Engineering, University of Incheon/12-1, Sondo-dong, Yeonsu-gu, Incheon 406-840, Korea)

  • Seul-Ki Kim

    (New & Renewable Energy System Research Center, Korea Electrotechnology Research Institute/28-1, Seongju-dong, Changwon 641-120, Korea)

  • Jin-Hong Jeon

    (New & Renewable Energy System Research Center, Korea Electrotechnology Research Institute/28-1, Seongju-dong, Changwon 641-120, Korea)

  • Heung-Kwan Choi

    (New & Renewable Energy System Research Center, Korea Electrotechnology Research Institute/28-1, Seongju-dong, Changwon 641-120, Korea)

Abstract

Recently, interest in microgrids, which are composed of distributed generation (DG), distributed storage (DS), and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the grid-connected mode and the islanded mode according to the conditions of the upstream power grid. The role of the energy storage system (ESS) is especially important to maintain constant the frequency and voltage of an islanded microgrid. For this reason, various approaches for ESS control have been put forth. In this paper, a fuzzy PID controller is proposed to improve the frequency control performance of the ESS. This fuzzy PID controller consists of a fuzzy logic controller and a conventional PI controller, connected in series. The fuzzy logic controller has two input signals, and then the output signal of the fuzzy logic controller is the input signal of the conventional PI controller. For comparison of control performance, gains of each PI controller and fuzzy PID controller are tuned by the particle swam optimization (PSO) algorithm. In the simulation study, the control performance of the fuzzy PID was also tested under various operating conditions using the PSCAD/EMTDC simulation platform.

Suggested Citation

  • Jong-Yul Kim & Hak-Man Kim & Seul-Ki Kim & Jin-Hong Jeon & Heung-Kwan Choi, 2011. "Designing an Energy Storage System Fuzzy PID Controller for Microgrid Islanded Operation," Energies, MDPI, vol. 4(9), pages 1-18, September.
  • Handle: RePEc:gam:jeners:v:4:y:2011:i:9:p:1443-1460:d:14077
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    References listed on IDEAS

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    1. Hak-Man Kim & Tetsuo Kinoshita & Myong-Chul Shin, 2010. "A Multiagent System for Autonomous Operation of Islanded Microgrids Based on a Power Market Environment," Energies, MDPI, vol. 3(12), pages 1-19, December.
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    Cited by:

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    4. Fengbing Li & Kaigui Xie & Jiangping Yang, 2015. "Optimization and Analysis of a Hybrid Energy Storage System in a Small-Scale Standalone Microgrid for Remote Area Power Supply (RAPS)," Energies, MDPI, vol. 8(6), pages 1-25, May.
    5. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim & Huy Nguyen-Duc, 2018. "Direct Phase Angle and Voltage Amplitude Model Predictive Control of a Power Converter for Microgrid Applications," Energies, MDPI, vol. 11(9), pages 1-21, August.
    6. Ying-Yi Hong & Jing-Han Chou, 2012. "Nonintrusive Energy Monitoring for Microgrids Using Hybrid Self-Organizing Feature-Mapping Networks," Energies, MDPI, vol. 5(7), pages 1-16, July.
    7. Bo Chen & Ping Wang & Yifeng Wang & Wei Li & Fuqiang Han & Shuhuai Zhang, 2017. "Comparative Analysis and Optimization of Power Loss Based on the Isolated Series/Multi Resonant Three-Port Bidirectional DC-DC Converter," Energies, MDPI, vol. 10(10), pages 1-26, October.
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    9. Cheng-Shan Wang & Wei Li & Yi-Feng Wang & Fu-Qiang Han & Bo Chen, 2017. "A High-Efficiency Isolated LCLC Multi-Resonant Three-Port Bidirectional DC-DC Converter," Energies, MDPI, vol. 10(7), pages 1-22, July.
    10. Chin-Hsing Cheng, 2016. "Implementation of a Small Type DC Microgrid Based on Fuzzy Control and Dynamic Programming," Energies, MDPI, vol. 9(10), pages 1-12, September.
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    12. Woo-Kyu Chae & Jong-Nam Won & Hak-Ju Lee & Jae-Eon Kim & Jaehong Kim, 2016. "Comparative Analysis of Voltage Control in Battery Power Converters for Inverter-Based AC Microgrids," Energies, MDPI, vol. 9(8), pages 1-18, July.
    13. Basit Ali & Muhammad Waseem Ashraf & Shahzadi Tayyaba, 2019. "Simulation, Fuzzy Analysis and Development of ZnO Nanostructure-based Piezoelectric MEMS Energy Harvester," Energies, MDPI, vol. 12(5), pages 1-15, February.
    14. Burgaç, Alper & Yavuz, Hakan, 2019. "Fuzzy Logic based hybrid type control implementation of a heaving wave energy converter," Energy, Elsevier, vol. 170(C), pages 1202-1214.
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