电力系统扩展黑启动方案的后效性研究

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Abstract The extended black-start strategy during the early recovery stage after blackout provides a new way for power system restoration. In order to evaluate the aftereffect of an extended black-start scheme, through discretizing the network reconstruction process into a series of successive time steps, a multi-objective network reconstruction optimization model considering the alternation and coordination that unit restarting with load restoration during subsequent reconstruction process is established, and then a solving method combining the lexicographic optimization method with improved bacterial foraging algorithm and Dijkstra algorithm is proposed to solve the model. The units, loads and restoration paths in each time step are optimized from the perspective of the global optimum to obtain the optimal reconstruction scheme. After that, by defining a group of input and output indexes reflecting the multiple elements of reconstruction process, the relative efficiency of the subsequent reconstruction, which represents the aftereffect of the extended black-start scheme, are evaluated by using the super efficiency data envelopment analysis model. The test results on the New England 10-unit 39-bus system verified the validity and correctness of the proposed method.

Key words： Extended black-start aftereffect data envelop analysis network reconstruction multi-objective optimization

Received: 19 June 2014 Published: 25 May 2015

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