基于免疫遗传算法的电力系统无功优化被引量：1

Reactive Power Optimization of Power System based on Immune Genetic Algorithm

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摘要无功优化可以提高电力系统电压质量,降损节能,保证系统安全、经济运行。介绍无功优化方法研究情况,引入免疫机制遗传算法进行无功优化,建立电力系统无功优化的IGA的数学模型,并对IEEE30节点系统进行IGA仿真,验证该算法的优势。 Reactive power optimization can increase voltage quality of power system, reduce loss and assure safe and economic operation for the system. In the article, it introduced the research status of reactive power optimization method, it used immune genetic algorithm to do reactive power optimization, set up IGA mathematical model for power system reactive optimization, and did IGA simulation for IEEE30 node system, verified the advantages of the algorithm.

作者柴浩梁洪元杜鹏王惠宁

机构地区中国华能集团燃料有限公司营口分公司国网辽宁省电力有限公司营口供电公司

出处《农业科技与装备》 2015年第8期30-33,共4页 Agricultural Science & Technology and Equipment

关键词电力系统无功优化无功补偿免疫遗传算法 power system reactive optimization reactive compensation immune genetic algorithm

分类号 TM76 [电气工程—电力系统及自动化]

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