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Hardware-in-the-Loop Simulation of Distributed Intelligent Energy Management System for Microgrids

Author

Listed:
  • Sang-Jin Oh

    (School of Electrical Engineering, Kookmin University, 861-1, Jeongneung-dong, Seongbuk-gu, Seoul 136-702, Korea)

  • Cheol-Hee Yoo

    (School of Electrical Engineering, Kookmin University, 861-1, Jeongneung-dong, Seongbuk-gu, Seoul 136-702, Korea)

  • Il-Yop Chung

    (School of Electrical Engineering, Kookmin University, 861-1, Jeongneung-dong, Seongbuk-gu, Seoul 136-702, Korea)

  • Dong-Jun Won

    (School of Electrical Engineering, Inha University, 100 Inha-ro, Nam-gu, Incheon 402-751, Korea)

Abstract

Microgrids are autonomous low-voltage power distribution systems that contain multiple distributed energy resources (DERs) and smart loads that can provide power system operation flexibility. To effectively control and coordinate multiple DERs and loads of microgrids, this paper proposes a distributed intelligent management system that employs a multi-agent-based control system so that delicate decision-making functions can be distributed to local intelligent agents. This paper presents the development of a hardware-in-the-loop simulation (HILS) system for distributed intelligent management system for microgrids and its promising application to an emergency demand response program. In the developed HILS system, intelligent agents are developed using microcontrollers and ZigBee wireless communication technology. Power system dynamic models are implemented in real-time simulation environments using the Opal-RT system. This paper presents key features of the data communication and management schemes based on multi-agent concepts. The performance of the developed system is tested for emergency demand response program applications.

Suggested Citation

  • Sang-Jin Oh & Cheol-Hee Yoo & Il-Yop Chung & Dong-Jun Won, 2013. "Hardware-in-the-Loop Simulation of Distributed Intelligent Energy Management System for Microgrids," Energies, MDPI, vol. 6(7), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:7:p:3263-3283:d:26898
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    References listed on IDEAS

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    1. Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2010. "A multi-agent system for energy management of distributed power sources," Renewable Energy, Elsevier, vol. 35(1), pages 174-182.
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    1. Wang, Jing & Pratt, Annabelle & Prabakar, Kumaraguru & Miller, Brian & Symko-Davies, Martha, 2021. "Development of an integrated platform for hardware-in-the-loop evaluation of microgrids prior to site commissioning," Applied Energy, Elsevier, vol. 290(C).
    2. Jianjun Sun & Chenxu Yin & Jinwu Gong & Yewei Chen & Zhiqiang Liao & Xiaoming Zha, 2017. "A Stable and Fast-Transient Performance Switched-Mode Power Amplifier for a Power Hardware in the Loop (PHIL) System," Energies, MDPI, vol. 10(10), pages 1-19, October.
    3. Xiaoming Zha & Chenxu Yin & Jianjun Sun & Meng Huang & Qionglin Li, 2016. "Improving the Stability and Accuracy of Power Hardware-in-the-Loop Simulation Using Virtual Impedance Method," Energies, MDPI, vol. 9(11), pages 1-16, November.
    4. Hossein Abedini & Tommaso Caldognetto & Paolo Mattavelli & Paolo Tenti, 2020. "Real-Time Validation of Power Flow Control Method for Enhanced Operation of Microgrids," Energies, MDPI, vol. 13(22), pages 1-19, November.
    5. Luis Hernández-Callejo, 2019. "A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids," Energies, MDPI, vol. 12(9), pages 1-50, April.
    6. Cheol-Hee Yoo & Il-Yop Chung & Hak-Ju Lee & Sung-Soo Hong, 2013. "Intelligent Control of Battery Energy Storage for Multi-Agent Based Microgrid Energy Management," Energies, MDPI, vol. 6(10), pages 1-24, September.
    7. Hiroshi Kikusato & Taha Selim Ustun & Masaichi Suzuki & Shuichi Sugahara & Jun Hashimoto & Kenji Otani & Kenji Shirakawa & Rina Yabuki & Ken Watanabe & Tatsuaki Shimizu, 2020. "Microgrid Controller Testing Using Power Hardware-in-the-Loop," Energies, MDPI, vol. 13(8), pages 1-15, April.
    8. Hyun-Koo Kang & Il-Yop Chung & Seung-Il Moon, 2015. "Voltage Control Method Using Distributed Generators Based on a Multi-Agent System," Energies, MDPI, vol. 8(12), pages 1-17, December.
    9. Iulia Stamatescu & Nicoleta Arghira & Ioana Făgărăşan & Grigore Stamatescu & Sergiu Stelian Iliescu & Vasile Calofir, 2017. "Decision Support System for a Low Voltage Renewable Energy System," Energies, MDPI, vol. 10(1), pages 1-15, January.
    10. Hee-Jun Cha & Dong-Jun Won & Sang-Hyuk Kim & Il-Yop Chung & Byung-Moon Han, 2015. "Multi-Agent System-Based Microgrid Operation Strategy for Demand Response," Energies, MDPI, vol. 8(12), pages 1-15, December.
    11. Gutierrez, A. & Bressan, M. & Jimenez, J.F. & Alonso, C., 2019. "Real-time emulation of boost inverter using the Systems Modeling Language and Petri nets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 158(C), pages 216-234.

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