In order to adapt the random change of network parameters and harmonic source, an improved immune-particle swarm optimization algorithm was proposed to configure well the power quality conditioner in distributed generation network. Matlab simulation was used to verify its correctness and feasibility. The results show that the algorithm can deploy optimally the filter's installation location and other parameters in a given network, reduce the system loss, keep the voltage and power factor, etc. within specified range, and achieve the purpose of the least average total harmonic distortion of voltage and investment costs.%为了适应网络参数和谐波源的随机变化,提出一种改进的免疫-粒子群算法来优化配置电网中电能质量调节装置,并采用Matlab/Simulink仿真,验证其正确性和可行性.研究结果表明:该算法能在给定电网范围内统一优化配置滤波装置的安装地点及相应的参数,减小系统损耗,将电压、功率因数等保持在规定的范围内,达到系统平均电压谐波总畸变率和投资成本最小的目的.
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