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

作　　者：郑立文 崔馨月 ZHENG Liwen;CUI Xinyue(State Grid Shaanxi Electric Power Co.,Ltd.,Xixian New Area Power Supply Company,Xianyang 712000,China)

机构地区：[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

出　　处：《通信电源技术》2024年第3期31-33,共3页Telecom Power Technology

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。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 

分 类 号：TM63[电气工程—电力系统及自动化]