Abstract：The issue which involves how to effectively and rapidly confirm the most appropriate units to be started during power system restoration is thoroughly studied in this paper. A novel optimal strategy involving the corresponding model and approach to this problem is presented. The objective of the model is to maximize the total power generation capability (MWh) over a restoration period whilst being subjected to the specific constraints. The proposed model is a typical multi-constraint knapsack problem from the mathematical point of view. Firstly, the data envelopment analysis (DEA) method is employed to select the initial units to be started with consideration of network constraints. By solving the knapsack problem constructed by the objective function and some specified constraints, the units to be started can be determined finally. The proposed method, to some extent, can make the trade off between the simulation accuracy and the computing efforts better. Case studies demonstrate the effectiveness and validity of the proposed model and method.
刘强, 石立宝, 周明, 李庚银, 倪以信. 电力系统恢复中机组恢复的优化选择方法[J]. 电工技术学报, 2009, 24(3): 164-170.
Liu Qiang, Shi Libao, Zhou Ming, Li Gengyin, Ni Yixin. Optimal Strategy for Units Start-up During Power System Restoration. Transactions of China Electrotechnical Society, 2009, 24(3): 164-170.
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