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Adaptive Marginal Costs-Based Distributed Economic Control of Microgrid Clusters Considering Line Loss

Author

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  • Xiaoqian Zhou

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

  • Qian Ai

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

  • Hao Wang

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

Abstract

When several microgrids (MG) are interconnected into microgrid clusters (MGC), they have great potential to improve their reliability. Traditional droop control tends to make the total operating costs higher as the power is distributed by capacity ratios of distributed energy resources (DERs). This paper proposes an adaptive distributed economic control for islanded microgrids which considers line loss, specifically, an interesting marginal costs-based economic droop control is proposed, and consensus-based adaptive controller is applied, to deal with power limits and capacity constraints for storage. The whole expense can be effectively lowered by achieving identical marginal costs for DERs in MGC. Specially, the capacity constraints only for storages are also included to do further optimization. Moreover, consensus-based distributed secondary controllers are used to rapidly restore system frequency and voltage magnitudes. The above controllers only need to interact with neighbor DERs by a sparse communication network, eliminating the necessity of a central controller and enhancing the stability. A MGC, incorporating three microgrids, is used to verify the effectiveness of the proposed methods.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2071-:d:121938
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    References listed on IDEAS

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    1. 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.
    2. Swaminathan Ganesan & Sanjeevikumar Padmanaban & Ramesh Varadarajan & Umashankar Subramaniam & Lucian Mihet-Popa, 2017. "Study and Analysis of an Intelligent Microgrid Energy Management Solution with Distributed Energy Sources," Energies, MDPI, vol. 10(9), pages 1-21, September.
    3. 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.
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    Cited by:

    1. Bingyin Lei & Yue Ren & Huiyu Luan & Ruonan Dong & Xiuyuan Wang & Junli Liao & Shu Fang & Kaiye Gao, 2023. "A Review of Optimization for System Reliability of Microgrid," Mathematics, MDPI, vol. 11(4), pages 1-30, February.

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