IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i12p1057-d85266.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/12/1057/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/9/12/1057/
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bingke Yan & Bo Wang & Lin Zhu & Hesen Liu & Yilu Liu & Xingpei Ji & Dichen Liu, 2015. "A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet," Energies, MDPI, vol. 8(11), pages 1-24, November.
    2. Antoine Boche & Clément Foucher & Luiz Fernando Lavado Villa, 2022. "Understanding Microgrid Sustainability: A Systemic and Comprehensive Review," Energies, MDPI, vol. 15(8), pages 1-29, April.
    3. 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.
    4. Xu, Xiao & Hu, Weihao & Cao, Di & Liu, Wen & Huang, Qi & Hu, Yanting & Chen, Zhe, 2021. "Enhanced design of an offgrid PV-battery-methanation hybrid energy system for power/gas supply," Renewable Energy, Elsevier, vol. 167(C), pages 440-456.
    5. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
    6. Andrea Bonfiglio & Massimo Brignone & Marco Invernizzi & Alessandro Labella & Daniele Mestriner & Renato Procopio, 2017. "A Simplified Microgrid Model for the Validation of Islanded Control Logics," Energies, MDPI, vol. 10(8), pages 1-28, August.
    7. Miguel Carpintero-Rentería & David Santos-Martín & Josep M. Guerrero, 2019. "Microgrids Literature Review through a Layers Structure," Energies, MDPI, vol. 12(22), pages 1-22, November.
    8. Hui Wang & Jun Wang & Zailin Piao & Xiaofang Meng & Chao Sun & Gang Yuan & Sitong Zhu, 2020. "The Optimal Allocation and Operation of an Energy Storage System with High Penetration Grid-Connected Photovoltaic Systems," Sustainability, MDPI, vol. 12(15), pages 1-22, July.
    9. Yan Xia & Yuchen Dai & Wenxu Yan & Dezhi Xu & Chengshun Yang, 2018. "Adaptive-Observer-Based Data Driven Voltage Control in Islanded-Mode of Distributed Energy Resource Systems," Energies, MDPI, vol. 11(12), pages 1-14, November.
    10. Katsanevakis, Markos & Stewart, Rodney A. & Lu, Junwei, 2017. "Aggregated applications and benefits of energy storage systems with application-specific control methods: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 719-741.
    11. Tu, Chunming & He, Xi & Shuai, Zhikang & Jiang, Fei, 2017. "Big data issues in smart grid – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1099-1107.
    12. He, Wangli & Li, Chengyuan & Cai, Chenhao & Qing, Xiangyun & Du, Wenli, 2024. "Suppressing active power fluctuations at PCC in grid-connection microgrids via multiple BESSs: A collaborative multi-agent reinforcement learning approach," Applied Energy, Elsevier, vol. 373(C).
    13. Neto, Pedro Bezerra Leite & Saavedra, Osvaldo R. & Oliveira, Denisson Q., 2020. "The effect of complementarity between solar, wind and tidal energy in isolated hybrid microgrids," Renewable Energy, Elsevier, vol. 147(P1), pages 339-355.
    14. Serban, Ioan, 2018. "A control strategy for microgrids: Seamless transfer based on a leading inverter with supercapacitor energy storage system," Applied Energy, Elsevier, vol. 221(C), pages 490-507.
    15. Kaiye Gao & Tianshi Wang & Chenjing Han & Jinhao Xie & Ye Ma & Rui Peng, 2021. "A Review of Optimization of Microgrid Operation," Energies, MDPI, vol. 14(10), pages 1-39, May.
    16. Marco Mussetta & Xuan Chau Le & Trung Hieu Trinh & Anh Tuan Doan & Minh Quan Duong & Gabriela Nicoleta Tanasiev, 2024. "An Overview of the Multilevel Control Scheme Utilized by Microgrids," Energies, MDPI, vol. 17(16), pages 1-31, August.
    17. 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.
    18. Cheng, Yu-Shan & Chuang, Man-Tsai & Liu, Yi-Hua & Wang, Shun-Chung & Yang, Zong-Zhen, 2016. "A particle swarm optimization based power dispatch algorithm with roulette wheel re-distribution mechanism for equality constraint," Renewable Energy, Elsevier, vol. 88(C), pages 58-72.
    19. Dedes, Eleftherios K. & Hudson, Dominic A. & Turnock, Stephen R., 2016. "Investigation of Diesel Hybrid systems for fuel oil reduction in slow speed ocean going ships," Energy, Elsevier, vol. 114(C), pages 444-456.
    20. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:9:y:2016:i:12:p:1057-:d:85266. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.