基于改进粒子群算法和AFDPF算法结合的光伏并网系统孤岛检测  

Islanding Detection of Photovoltaic Grid Connected System Based on Improved Particle Swarm Optimization and AFDPF Algorithm

作　　者：杨擎宇 薛太林 张昊杰 张宇鑫 YANG Qing-yu;XUE Tai-lin;ZHANG Hao-jie;ZHANG Yu-xin(Department of Electrical Engineering,Shanxi University,Taiyuan 030000,China)

机构地区：[1]山西大学电力工程系,太原030000

出　　处：《自动化与仪表》2021年第5期89-93,共5页Automation & Instrumentation

摘　　要：针对传统的正反馈主动频率偏移法(AFDPF)在孤岛检测过程中存在影响系统电能质量和依据负载的不同存在检测盲区的问题,该文通过检测盲区和检测死区与正反馈系数k的关系,运用改进粒子群算法对k进行实时优化,来满足由于系统负载的不断变化使得检测盲区扩大和检测时间增加。通过Matlab仿真结果表明,该方法可以有效地缩小检测盲区和检测数据,提高检测精度。Aiming at the problem of the influence of the traditional AFDPF on the power quality of the system and the detection blind area according to the load difference in the islanding detection process,the improved particle swarm optimization(IPSO)is used to optimize k in real-time by detecting the relationship between the blind area and the dead area and the positive feedback coefficient k to meet the needs of expanding the blind area and increasing the detection time due to the constant change of system load.Matlab simulation results show that this method can effectively reduce the detection blind area and detection data,improve the detection accuracy.

关 键 词：正反馈主动频率偏移法 检测盲区 改进粒子群算法 正反馈系数 

分 类 号：TM615[电气工程—电力系统及自动化]