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A Combination Strategy for Reactive Power Optimization Based on Model of Soft Constrain Considered Interior Point Method and Genetic-Simulated Annealing Algorithm

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6 Author(s)
Guo Liya ; Dept. of Energy & Electr., HoHai Univ., Nanjing, China ; Ding Xiaoqun ; Chen Guangyu ; Song Jizhong
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In this paper a combination strategy for reactive power optimization is proposed. It bases on the optimal reasult of Genetic-Simulated Annealing Algorithm and Primal-Dual Interior Point(PDIP) Algorithm, and solves the problem of discrete and continuous control variables in reactive power optimization effectively. Simultaneity, it introduces the soft costraint to handle the infeasibility problem appearing in the course of reactive power optimization. Numeriacal simulation results on the IEEE57 and the IEEE118 test system show that the proposed method can brings up the speed and the convergence of computation, and illustrate that the proposed method can effectively handle and detect the infeasibility problem caused by bottleneck constraints and get a reasonable solution fast.

Published in:

Information Science and Management Engineering (ISME), 2010 International Conference of  (Volume:2 )

Date of Conference:

7-8 Aug. 2010