Research Of New Optimal Power Flow Algorithm

Optimal Power Flow (OPF) can be defined as a typical nonlinear programming problem. The computational difficulties in solving the OPF problem have limited its use in power system operations. In the past three decades, various optimization techniques were proposed to solve the problem. But people fail to make the generally acknowledged satisfied achievement so far.This paper has summarized the research in recent advances about the OPF algorithm both at home and abroad, recommended the classical algorithms of OPF, the modern optimization methods and other algorithms. This paper compared and discussed the method of these kinds of optimization.A new method that the chaos optimization combines with fuzzy set was proposed and applied to OPF problems. Object functions and soft constraints of multi-objective OPF problem are modeled using fuzzy sets, and then this multi-objective fuzzy OPF model is reformulated as a single objective non-linear programming problem. Chaotic variables are used in the searching, which takes advantage of their propriety of randomicity, regularity and ergodicity. The method overcomes the difficulties in traditional gradient search. Combining the simplex method with the chaos optimization method, a hybrid optimization strategy is proposed to solve the optimization problems of complex functions. The hybrid optimization strategy utilizes the ergodicity of chaos to find the global optimal solution, at the same time the initial points that are needed in simplex method are formed, then use simplex method to perform local optimization, which avoid the weakness of single method.