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.
出处
《电网技术》
EI
CSCD
北大核心
2004年第16期44-47,共4页
Power System Technology
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
Control equipment
Electric network analysis
Electric potential
Functions
Genetic algorithms
Optimization
Problem solving
