基于改进遗传算法的电力系统无功优化预测  

Optimal Reactive Power Prediction for Power Systems Based on Improved Genetic Algorithm

作　　者：郑雅姣 金书池 Zheng Yajiao;Jin Shuchi(Liaoning Technical University,Huludao Liaoning 125105,China)

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105

出　　处：《现代工业经济和信息化》2024年第10期288-290,共3页Modern Industrial Economy and Informationization

摘　　要：提出一种基于改进遗传算法(Genetic Algorithm,GA)的电力系统无功预测技术。对电力系统无功优化的困难进行剖析,介绍了改进遗传算法,把改进遗传算法运用到无功优化预测中,并开展了实验设计和结果分析。应用改进遗传算法能够更有效地克服无功优化的困难[1]。A power system reactive power prediction technique based on improved Genetic Algorithm(GA)is proposed.The difficulties of power system reactive power optimisation are analysed,the improved genetic algorithm is described,the improved genetic algorithm is applied to reactive power optimisation prediction,and the experimental design and result analysis are carried out.It is concluded that the application of improved genetic algorithm can overcome the difficulties of reactive power optimisation more effectively.

关 键 词：改进遗传算法 无功优化 适合度 

分 类 号：TM714[电气工程—电力系统及自动化]