Optimal network reconstruction method and system based on wind power plant

Abstract

The invention discloses an optimal network reconstruction method and system based on a wind power plant. The method comprises: analyzing a network structure of a power grid system and a topological relation between each node and a line by utilizing the topological graph of the power grid, and determining a skeleton network by using the network structure and the nodes; after power failure, servinga hybrid power supply based on a wind power plant as a black-start power supply to supply power to the power grid system; calculating a recovery risk index of the skeleton network; calculating line importance of line contraction; optimizing the skeleton network by using a particle swarm algorithm and taking a recovery risk index for minimizing network reconstruction and maximizing the line importance of the skeleton network as optimization objectives; determining the skeleton network by using a network reconstruction method based on the support degree; and starting a black-start power supply according to the skeleton network. Compared with an existing method, the feasibility and superiority of the model and the method of the invention are remarkable through example analysis.

Description

technical field [0001] The invention belongs to the technical field of power systems, and relates to a method and system for optimal network reconfiguration based on wind farms. Background technique [0002] At present, domestic and foreign research work has been done on the restoration of power system after a blackout. [0003] Existing research on system recovery generally only considers the use of conventional hydropower or thermal power units as black-start power sources, while research on renewable energy generators (such as wind turbines) as black-start power sources is rarely reported. In addition, the traditional method requires experts to assign weights to the indicators when selecting the optimal black start strategy, which will inevitably be affected by human subjective factors. [0004] In the prior art, prior art document 1 (Zhang Guosong, Liu Junyong, Wei Zhenbo, et al). Skeleton-network reconfiguration taking into account topology priority and path electrical...

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Problems solved by technology

[0014] Liu W, Lin Z, Wen F, et al.Analysis and optimization of the preferences of decision-makers in black-start group decision-making[J].IET Generation,Transmission&Distribution,2013,7(1):14-23.) Research work has been done on black start decision-making, but the methods proposed in it all require experts to assign weights to indicators, which will inevitably be affected by human subjective factors.

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