Weighted Multiple Predictor-corrector Interior Point Method for Optimal Power Flow

作者：Xie, Liang^*; Chiang, Hsiao Dong

来源：Electric Power Components and Systems, 2011, 39(2): 99-112.

DOI：10.1080/15325008.2010.526985

• interior point method
• line search
• non-linear programming
• optimal power flow
• weight corrector

The interior point method is considered one of the most efficient methods for solving different types of optimal power flow problems. In this article, a weighted multiple predictor-corrector interior point method is proposed and applied to solve two non-linear optimal power flow problems, which include the generation cost minimization problem and the active power loss minimization problem. A two-stage line-search strategy is employed to obtain the optimal composite direction in order to improve the convergence property of the predictor-corrector interior point method. The proposed method is evaluated on three IEEE test systems and three large-scale systems ranging in size from 57 to 2790 buses. Numerical results demonstrate that, compared with the original multiple predictor-corrector interior point method, the proposed method can converge to an optimal power flow solution with a fewer iterations and faster computational time. Moreover, comparison numerical studies show that the proposed method can be faster and more robust than that traditional predictor-corrector interior point method and its variants.

• 出版日期2011
• 单位上海交通大学