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Adaptive Droop Control for Microgrids Based on the Synergetic Control of Multi-Agent Systems

Author

Listed:
  • Zhiwen Yu

    (School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Dongchuan Road, Shanghai 200240, China)

  • Qian Ai

    (School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Dongchuan Road, Shanghai 200240, China)

  • Xing He

    (School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Dongchuan Road, Shanghai 200240, China)

  • Longjian Piao

    (School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Dongchuan Road, Shanghai 200240, China)

Abstract

In this paper, a distributed synergetic control based on multi-agent systems is proposed to solve the problems of frequency and voltage errors, system stability and power sharing accuracy in the traditional droop control of microgrids. Starting with power flow equations, we build the secondary-order dynamic model of DG, which consists of three parts: (1) active power allocation; (2) active power-frequency; and (3) reactive power-voltage droop control. Considering time-delays in communication networks, a leaderless synergetic control algorithm is proposed to allocate the active power in inverse proportion to the droop coefficient, and the synergetic control with a virtual leader is proposed to control the system frequency and voltage to keep at the expected value. Besides, the direct Lyapunov method is introduced to verify the globally asymptotical stability. Moreover, the impacts of communication disturbance are also discussed from the aspects of control precision and system stability. Finally, based on a test microgrid, numerous cases are designed as illustration, and the simulation results validate the proposed method.

Suggested Citation

  • Zhiwen Yu & Qian Ai & Xing He & Longjian Piao, 2016. "Adaptive Droop Control for Microgrids Based on the Synergetic Control of Multi-Agent Systems," Energies, MDPI, vol. 9(12), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:12:p:1057-:d:85266
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    References listed on IDEAS

    as
    1. Arul, P.G. & Ramachandaramurthy, Vigna K. & Rajkumar, R.K., 2015. "Control strategies for a hybrid renewable energy system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 597-608.
    2. Shuai, Zhikang & Sun, Yingyun & Shen, Z. John & Tian, Wei & Tu, Chunming & Li, Yan & Yin, Xin, 2016. "Microgrid stability: Classification and a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 167-179.
    3. Zhiwen Yu & Qian Ai & Jinxia Gong & Longjian Piao, 2016. "A Novel Secondary Control for Microgrid Based on Synergetic Control of Multi-Agent System," Energies, MDPI, vol. 9(4), pages 1-14, March.
    4. Xiaoling Su & Minxiao Han & Josep M. Guerrero & Hai Sun, 2015. "Microgrid Stability Controller Based on Adaptive Robust Total SMC," Energies, MDPI, vol. 8(3), pages 1-18, March.
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    Citations

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    Cited by:

    1. Demin Li & Bo Zhao & Zaijun Wu & Xuesong Zhang & Leiqi Zhang, 2017. "An Improved Droop Control Strategy for Low-Voltage Microgrids Based on Distributed Secondary Power Optimization Control," Energies, MDPI, vol. 10(9), pages 1-18, September.
    2. Xiaoqian Zhou & Qian Ai & Hao Wang, 2017. "Adaptive Marginal Costs-Based Distributed Economic Control of Microgrid Clusters Considering Line Loss," Energies, MDPI, vol. 10(12), pages 1-18, December.
    3. Hua Han & Lang Li & Lina Wang & Mei Su & Yue Zhao & Josep M. Guerrero, 2017. "A Novel Decentralized Economic Operation in Islanded AC Microgrids," Energies, MDPI, vol. 10(6), pages 1-18, June.
    4. Haifeng Liang & Yue Dong & Yuxi Huang & Can Zheng & Peng Li, 2018. "Modeling of Multiple Master–Slave Control under Island Microgrid and Stability Analysis Based on Control Parameter Configuration," Energies, MDPI, vol. 11(9), pages 1-18, August.
    5. Min Lu & Yu Chen & Debin Zhang & Jingyuan Su & Yong Kang, 2019. "Virtual Synchronous Control Based on Control Winding Orientation for Brushless Doubly Fed Induction Generator (BDFIG) Wind Turbines Under Symmetrical Grid Faults," Energies, MDPI, vol. 12(2), pages 1-12, January.
    6. Erdal Irmak & Ersan Kabalci & Yasin Kabalci, 2023. "Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity," Energies, MDPI, vol. 16(12), pages 1-58, June.
    7. Miloud Rezkallah & Sanjeev Singh & Ambrish Chandra & Bhim Singh & Hussein Ibrahim, 2020. "Off-Grid System Configurations for Coordinated Control of Renewable Energy Sources," Energies, MDPI, vol. 13(18), pages 1-25, September.

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