摘要
由于现有方法存在有功网损优化效果差的问题,以及控制与状态变量越限运行的现象,故提出改进遗传算法的舰船电力系统无功优化方法。依据舰船电力系统电压、网络损耗、无功功率之间的关系,构建无功优化数学模型,以此为基础,基于快速解耦法计算无功优化潮流,以潮流计算结果为依据,应用改进遗传算法求解无功优化数学模型,最终实现舰船电力系统无功优化的目标。实验结果显示:与现有方法相比较,本文方法有功网损优化效果更好,并无变量越限现象,充分证实了本文方法性能更佳。
Because the existing methods have the problem of poor active power loss optimization and the phenomenon of control and state variables running beyond the limit, the research on the reactive power optimization method of ship power system based on improved genetic algorithm is proposed. According to the relationship between ship power system voltage,network loss, and reactive power, construct a reactive power optimization mathematical model. Based on this, calculate reactive power optimization power flow based on fast decoupling method, and apply improvement based on power flow calculation results. Genetic algorithm solves the mathematical model of reactive power optimization, and finally realizes the goal of reactive power optimization of ship power system. The experimental results show that compared with the existing methods, the proposed method has a better effect of optimizing active power loss, and there is no variable over-limit phenomenon,which fully confirms the better performance of the proposed method.
作者
申伟
SHEN Wei(College of Technology,Zhengzhou Technology and Business University,Zhengzhou 451400,China)
出处
《舰船科学技术》
北大核心
2021年第10期73-75,共3页
Ship Science and Technology
基金
河南省高等学校重点科研项目计划(19A510023)
关键词
改进遗传算法
舰船
电力系统
无功优化
improved genetic algorithm
ships
power system
reactive power optimization
