基于遗传算法的无功优化在福建电网的实用化改进  

PRACTICAL IMPROVEMENT OF REACTIVE POWER OPTIMIZATION BASED ON GENETIC ALGORITHM IN FUJIAN POWER SYSTEM

作　　者：丁晓群[1] 邓勇[1] 黄伟[1] 张建平[2] 方朝雄[2] 李可文[2] 李子韵 

机构地区：[1]河海大学电气工程学院,江苏省南京市210098 [2]福建电力调度通信中心,福建省福州市350003 [3]南京市供电局,江苏省南京市210013

出　　处：《电网技术》2004年第16期44-47,共4页Power System Technology

摘　　要：摘要:分析了基于遗传算法的无功优化在实际系统应用中存在的问题,在传统遗传算法的基础上,对适应度函数和群体多样性的保持进行了改进,并将设备动作优先级和历史负荷经验数据引入遗传算法,根据福建电网的实际情况完成了遗传算法在无功优化中的实用化改进。实际应用表明,改进后的算法使得控制设备动作合理,动作次数少,能有效地提高电网的电压合格率并降低网损。The problems existing in the application of reactive power optimization based on genetic algorithm to practical power system are analyzed. On the basis of traditional genetic algorithm the fitness function and the holding of population diversity are improved, in addition, the priority of equipment action and historical empirical data of load are led into genetic algorithm and according to the practical situation of Fujian power system the practical improvement of reactive power optimization based on genetic algorithm is finished. The practical application results show that with the improved genetic algorithm the action of control equipments is rational, the times of equipment action are less, the voltage qualification rate can be effectively improved and the network loss is reduced.

关 键 词：电网 电力系统 无功优化 遗传算法 实用化 技术改进 电压质量 

分 类 号：TM727.2[电气工程—电力系统及自动化]