基于引入禁忌表的改避遗传算法的地区电网无功优化

针对实际地区电网建立多目标无功功率优化模型，在标准遗传算法的基础上加入分阶段适应度函数、自适应交叉变异率等改低碳输电系进，并引入禁忌搜索算法的禁忌表技术，设置相似度条件，以此为核心对某地区电网进行无功优化计算，通过改进前后算法比较可知，该算法收敛性能理想，爬山能力良好，计算时间较短。

An Improved Genetic Algorithm with Taboo List for Reactive Power Optimization in Local Grid

In this paper, a multi-objective reactive optimization model is established based on actual local power network, and the basic GA is improved by adopting different fitness functions as well as adaptive crossover and mutation rates and so on. Besides, the taboo list is applied to GA which is used with similarity conditions. On the basis of the improved GA a working platform is set up to finish the calculation, the results are quite good. The comparison with basic GA and improved GA to which the taboo list isn＇t introduced shows that the convergence performance and the ability of overall local optima of the improved GA with the taboo list are better, meanwhile, the running time is saved too.