基于蚁群算法的光伏并网逆变器孤岛检测  

A simulation study of inverter island detection based on ant colony algorithm

作　　者：王猛 李梦达(指导) 王星皓 WANG Meng;LI Mengda;WANG Xinghao(School of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)

机构地区：[1]上海电机学院电气学院,上海201306

出　　处：《上海电机学院学报》2021年第2期76-83,共8页Journal of Shanghai Dianji University

摘　　要：针对传统的模糊控制在分布式发电孤岛检测主动频率偏移法应用中出现的精确度低、检测时间缓慢、对电能质量扰动较大等问题,提出了一种改进的蚁群算法。通过推导计算了正反馈系数的取值范围,根据取值范围设计了模糊控制器,并利用蚁群算法对隶属度函数和模糊控制的规则进行优化。与传统的主动频率偏移法相比,改进的蚁群算法检出孤岛时间更短,注入的频率扰动对电网电能质量影响更小。通过Matlab/Simulink仿真和在RT-LAB半实物仿真实验平台验证了其有效性。An improved ant colony algorithm was proposed to solve the problems of low accuracy,slow detection,and great disturbance to power quality in the application of the traditional fuzzy control in the active frequency offset method of distributed generation island detection.The range of positive feedback coefficients was calculated through derivation.Subsequently,a fuzzy controller was designed according to the value range.Ant colony algorithm is used to optimize the membership function and fuzzy control rules.Compared with the traditional active frequency offset method,the time of island detection is shorter and the injected frequency disturbance has less influence on power quality.The validity of the proposed method was verified by Matlab/Simulink simulation and RT-LAB hardware-in-the-loop simulation experiment platform.

关 键 词：孤岛检测 主动频率偏移法 检测盲区 模糊控制 蚁群算法 

分 类 号：TM732[电气工程—电力系统及自动化]