摘要
针对混合型有源滤波器在实际应用时,无功补偿不能出现过补偿及谐振的问题,提出采用电容无功补偿功率与串并联谐振频率的关系作为约束条件对并联混合型有源滤波器SHAPF(shunt hybrid active powerfilter)参数进行优化配置。寻优算法采用改进的粒子群优化算法IPSO(improved particle swarm optimiza-tion),根据粒子群算法参数速度v和惯性因子w的关系,提出时变的非线性三角函数方法来控制参数,加速了算法的收敛速度,防止陷入局部最优。通过Matlab进行仿真验证,SHAPF的参数设计得到了优化配置,具有良好的滤波效果。在实例应用中,有效地避免了谐振,具有一定的工程应用价值。
As to the problems of reactive power overcompensation and resonance in the design of the hybrid ac- tive power filter, the relationship between capacitive reactive power compensation and series-parallel resonant frequency is proposed as the constraints to optimize the parameters of shunt hybrid active power filter (SHAPF). The improved particle swarm optimization (IPSO) algorithm is adopted, and a method of nonlinear time-varying trigonometric function is proposed to control the parameters based on the relationship between speed v and the inertia factor w of PSO algorithm to accelerate the convergence speed and prevent falling into local optimum. Matlab is used for simulation and the parameters of SHAPF have been optimized which has a good filtering effect and the resonance is avoided effectively in the application, with some engineering applica- tion values.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2012年第6期31-35,共5页
Proceedings of the CSU-EPSA
基金
广东省科技计划项目重大科技专项(2010A080804023)
湖南省自然科学基金项目(2011JJ5027)
湖南省科技计划项目(2011GK3118)
关键词
电容器容量
串并联谐振频率
无功过补偿
时变非线性三角函数
参数的优化配置
capacitor power
series-parallel resonant frequency
reactive power overeompensation
time-var-ying nonlinear trigonometric function
optimization of the parameters