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A Parallel Restoration for Black Start of Microgrids Considering Characteristics of Distributed Generations

Author

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  • Jing Wang

    (Department of Electrical Engineering, Tongji University, Shanghai 201084, China)

  • Longhua Mu

    (Department of Electrical Engineering, Tongji University, Shanghai 201084, China)

  • Fan Zhang

    (Department of Electrical Engineering, Tongji University, Shanghai 201084, China)

  • Xin Zhang

    (Department of Electrical Engineering, Tongji University, Shanghai 201084, China)

Abstract

The black start capability is vital for microgrids, which can potentially improve the reliability of the power grid. This paper proposes a black start strategy for microgrids based on a parallel restoration strategy. Considering the characteristics of distributed generations (DGs), an evaluation model, which is used to assess the black start capability of DGs, is established by adopting the variation coefficient method. Thus, the DGs with good black start capability, which are selected by a diversity sequence method, are restored first in parallel under the constraints of DGs and network. During the selection process of recovery paths, line weight and node importance degree are proposed under the consideration of the node topological importance and the load importance as well as the backbone network restoration time. Therefore, the whole optimization of the reconstructed network is realized. Finally, the simulation results verify the feasibility and effectiveness of the strategy.

Suggested Citation

  • Jing Wang & Longhua Mu & Fan Zhang & Xin Zhang, 2017. "A Parallel Restoration for Black Start of Microgrids Considering Characteristics of Distributed Generations," Energies, MDPI, vol. 11(1), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:11:y:2017:i:1:p:1-:d:123811
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    References listed on IDEAS

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    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. Changcheng Li & Jinghan He & Pei Zhang & Yin Xu, 2017. "A Novel Sectionalizing Method for Power System Parallel Restoration Based on Minimum Spanning Tree," Energies, MDPI, vol. 10(7), pages 1-21, July.
    3. Stephanus Antonius Ananda & Jyh-Cherng Gu & Ming-Ta Yang & Jing-Min Wang & Jun-Da Chen & Yung-Ruei Chang & Yih-Der Lee & Chen-Min Chan & Chia-Hao Hsu, 2016. "Multi-Agent System Fault Protection with Topology Identification in Microgrids," Energies, MDPI, vol. 10(1), pages 1-21, December.
    4. Zhe Xiao & Tinghua Li & Ming Huang & Jihong Shi & Jingjing Yang & Jiang Yu & Wei Wu, 2010. "Hierarchical MAS Based Control Strategy for Microgrid," Energies, MDPI, vol. 3(9), pages 1-17, September.
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