基于隔离小生境粒子群算法的APF优化配置

随着非线性负载的广泛应用,传统负荷端分散的谐波治理方式弊端渐显。以中小型电网中有源电力滤波器的集中补偿配置为目标,设计一种基于隔离小生境粒子群算法的APF优化配置方法。建立了有源电力滤波器的优化配置数学模型,以节点电压畸变率均方根为目标函数,并使用罚函数处理约束条件。改进后的粒子群算法兼顾全局与局部寻优能力,避免陷入局部最优点。在阐述所提优化配置方法流程的基础上,IEEE算例分析表明该配置方法可以同时进行APF位置和容量的寻优,治理后系统各节点总谐波电压畸变率小于4%,谐波附加损耗降低90%以上,实现对单、多谐波源系统电能质量的有效治理。

APF optimization allocation based on isolated niche particle swarm algorithm

With the wide application of nonlinear loads, the disadvantages of the method of decentralized harmonic suppression at the terminal are gradually revealed.To achieve the configuration of active power filter in the middle-and-small sized grid, the isolated niche particle swarm optimization is adopted in this paper.Firstly, the configuration model of APF is built, the objective of which is to minimize the rms of node THD.Besides, the constraint conditions are executed by the penalty function.The modified algorithm has a better performance for global and local optimization and avoids the problem falling into local optima.The steps of allocation are elaborated, and the effectiveness of the proposed method is proved by the examples, the method can optimize the location and capacity of APF synchronously and achieve the power quality improvement for single or multi harmonics sources system.As a result, the THD of node voltage is less than 4% and the harmonic additional losses reduced by more than 90% after the improvement.