改进混合遗传算法在无功优化的应用研究  

The research on reactive power optimization based on improved hybrid genetic algorithm

作　　者：高光敏[1] 赵亮 何秋月 王凯 孙洪波 

机构地区：[1]长春工程学院电气与信息学院,长春130012 [2]吉林省四平供电公司,四平136000

出　　处：《长春工程学院学报（自然科学版）》2011年第1期66-68,103,共4页Journal of Changchun Institute of Technology：Natural Sciences Edition

摘　　要：根据电网现有的运行状况,在国家电力市场环境下充分考虑了电力系统的安全运行约束,以目标函数为线路网损最小、电压质量最优为目标建立了数学模型,并将改进混合遗传算法应用到此无功优化问题中,并采用MATLAB编程实现算法,对IEEE-6节点测试系统进行了仿真计算,验证算法的有效性和可行性。According to the actual situation of power grid,a full consideration on the security constraints of power system has been discussed under the environment of national power market.A mathematical model is established with the objective function at the minimum cost and the most excellent voltage quality.Then it applies the improved hybrid genetic algorithm into reactive power optimization,and uses MATLAB programming algorithm to make a simulate algorithm on IEEE-6 bus test system.The simulation result shows the algorithm is verified and feasibility.

关 键 词：电网 无功优化 改进混合遗传算法 

分 类 号：TM714.3[电气工程—电力系统及自动化]