Hybrid Corrector Interior Point Method for Optimal Power Flow

Abstract

Abstract: A hybrid corrector interior point method was proposed. The proposed algorithm combines effectively the predictor corrector and centrality correction methods, which optimize the search direction by dynamically choosing the proposition of the corrector direction in Newton direction, which can improve the effect of centrality correction and then speed up the convergence of the algorithm. The algorithm was simulated for IEEE 57, IEEE 118, IEEE 300 bus systems and three real systems. The numerical results demonstrate that, compared with the multiple centrality correction interior point method, the proposed algorithm can lead to convergence with a smaller number of iterations and faster computational time. Moreover, the comparison studies also show that the algorithm can be more robust than that traditional predictorcorrector interior point method and its variants.

Key words: hybrid corrector, interior point method, nonlinear programming, optimal power flow

CLC Number:

TM732

XIE Liang-1, JIANG Xiao-Dong-2, LI Shao-Hua-1. Hybrid Corrector Interior Point Method for Optimal Power Flow[J]. Journal of Shanghai Jiaotong University, 2011, 45(06): 804-808.

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