Nonlinear weighted multiple centrality corrections interior point method for optimal power flow

Optimal power flow (OPF) is a large scale nonlinear non-convex optimization problem. In the last decades many algorithms are developed to solve these problems and the interior point method (IPM) is a popular one. The primal-dual IPMs and their later developments have attracted much research interest. Impressed by the improvements in convergent performance of the further developed multiple centrality corrections IPM in linear programming (LP), this paper extended it to nonlinear programming and made certain modifications to make it adaptable to the nonlinear OPF. Test results on several cases ranging from 9-bus to 2746-bus system indicate the efficiency and high convergence of the proposed algorithm, which outperforms the original multiple centrality corrections IPM. Comparisons between the proposed method and other forms of interior point methods are also given to show its advantage in convergent performance.