基于权值的引力搜索算法在电力系统最优潮流计算中的应用

Calculation of optimal power flow problem using search algorithm based on weight of gravitation

引力搜索算法是由Esmat Rashedi教授提出的新型启发式算法。本文将基于权值的引力搜索算法应用于电力系统最优潮流计算中。为对该算法的实用性进行研究,将其应用于标准IEEE30节点和标准IEEE57节点系统,并与粒子群和遗传算法进行比较。实验结果表明,改进的引力搜索算法能够有效地解决电力系统中的最优潮流问题。

The gravitational force search algorithm is a new heuristic algorithm proposed by Professor Esmat Rashedi. This article describes the search algorithm based on the weight of gravitation used in the calculation of the optimal power flow. Compared with the gravitational search algorithm, the algorithm adds a weight value on the inertial mass of the particles in every iteration of the process. The algorithm will be applied to the standard IEEE30 and standard IEEE57 node system, and is compared with particle swarm optimization and genetic algorithms. The power generation cost minimization is selected as the objective function, and the convergence of the three algorithms, the number of iterations and the computing time are compared. Experimental results show that the improved gravitation- al force search algorithm can be successfully and effectively find the best optimum control variable setting of the test system, and also the robustness and superiority of the improved the GSA algorithm for optimal power flow problem are proved.