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

Jing Wang, Longhua Mu, Fan Zhang and Xin Zhang
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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

Energies, 2017, vol. 11, issue 1, 1-18

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.

Keywords: microgrids; black-start; characteristics of distributed generations (DGs); variation coefficient method; parallel restoration (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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