基于灰狼算法的变电站二次设备电压无功优化控制方法
Optimal Control Method of Voltage and Reactive Power of Substation Secondary Equipment Based on Grey Wolf Algorithm
郑立文 1崔馨月1
作者信息
- 1. 国网陕西省电力有限公司西咸新区供电公司,陕西咸阳 712000
- 折叠
摘要
现有的变电站二次设备电压无功优化控制方法依赖人工经验进行参数调整和优化,具有一定的主观性,导致变电站二次设备电压无功优化控制收敛速度较慢.因此,文章提出了基于灰狼算法的变电站二次设备电压无功优化控制方法.通过处理变电站二次设备的电压基础数据,构建了一个基于灰狼算法的无功优化控制函数,并制定了约束条件,以实现变电站二次设备电压无功优化控制.实验结果表明,相比于基于比例-积分-微分(Proportion-Integral-Differential,PID)控制算法的变电站二次设备电压无功控制方法和基于模糊控制算法的变电站二次设备电压无功控制方法,所提出的变电站二次设备电压无功优化控制方法的收敛速度更快,应用效果更好,具有实际应用价值.
Abstract
Because the existing optimal control methods of voltage and reactive power of substation secondary equipment rely on manual experience to adjust and optimize parameters,which is subjective,the convergence speed of optimal control of voltage and reactive power of substation secondary equipment is low.Therefore,this paper puts forward an optimal control method of voltage and reactive power of secondary equipment in substation based on grey wolf algorithm.By processing the basic voltage data of substation secondary equipment,a reactive power optimization control function based on grey wolf algorithm is constructed,and the constraint conditions are formulated to realize the voltage and reactive power optimization control of substation secondary equipment.The experimental results show that compared with the voltage and reactive power control method of substation secondary equipment based on Proportion-Integral-Differential(PID)control algorithm and the voltage and reactive power control method of substation secondary equipment based on fuzzy control algorithm,the voltage and reactive power optimization control method of substation secondary equipment proposed in this paper has faster convergence speed,better application effect and practical application value.
关键词
灰狼算法/变电站二次设备/电压无功优化控制Key words
gray wolf algorithm/substation secondary equipment/optimal control of voltage and reactive power引用本文复制引用
出版年
2024
NETL
NSTL
万方数据