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Chinese Journal of Management Science ›› 2016, Vol. 24 ›› Issue (5): 119-126.doi: 10.16381/j.cnki.issn1003-207x.2016.05.014

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Multi-area Power System Coordinated Planning Model Based on Benders Decomposition Algorithm

XUE Song1, ZENG Bo2, WANG Yue-jin3   

  1. 1. State Grid Energy Research Institute, Changping District, Beijing 102209, China;
    2. State Key Laboratory for Alternate Electrical Power System with Renewable Sources, North China Electric Power University, Changping District, Beijing 102206, China;
    3. Beijing Electric Power Transmission and Transportation Company, Jibei Electric Power Company Limited, Fangshan District, Beijing 102401, China
  • Received:2014-07-16 Revised:2015-05-18 Online:2016-05-20 Published:2016-05-24

Abstract: With the accelerating of grid interconnection pace and inter-regional power transmission needs becoming increasingly prominent, the generation side planning and transmission side plan faces more uncertainties.Coordination requirements between those are also high.Therefore, in background of multi-regional power system interconnection, it has important theoretical and practical significance to study the generation and transmission coordinated expansion planning problem.Firstly, multi-area power system coordinated planning problem is described, and the multi-area coordinated planning model is established, which is aimed at finding the optimal expansion program.The model meets the multi-area power system growth load demand with the minimum investment.Secondly, the Benders decomposition algorithm is used to decompose the multi-area expansion planning problem into a planning master problem and a running sub-problem.Through iterative solution between the master problem and the sub-problem, the final optimal solution ca be obtained.Finally, a typical multi-area power system which consists of seven regions is simulated, to verify the effectiveness of the constructed model and algorithm.

Key words: multi-area, interconnected power system, generation and transmission expansion planning, Benders decomposition algorithm

CLC Number: