基于粒子群优化算法的并网光伏发电单元建模  

Modeling of Grid-Connected Photovoltaic Generation Unit Based on Particle Swarm Optimization Algorithm

作　　者：孙黎霞[1] 林雪[1] 金宇清[1] 潘磊[2] 施浩波[3] 

机构地区：[1]河海大学能源与电气学院,江苏省南京市210098 [2]江苏省电力设计院,江苏省南京市211102 [3]中国电力科学研究院,北京市海淀区100192

出　　处：《电网技术》2015年第5期1213-1218,共6页Power System Technology

基　　金：国家自然科学基金项目(51137002);国家高技术研究发展计划(863计划)(2011AA05A103)~~

摘　　要：以状态空间平均法为基础,建立了单级式并网发电系统单元的模型,主要包括3个部分:光伏阵列、逆变器及控制器、并网侧LC滤波器和线路等环节的等效阻抗,利用粒子群优化算法分步辨识内环和外环模型参数。首先在d轴内环控制器的参考电流上施加阶跃扰动,辨识内环控制模型的参数;然后简化等效内环控制器模型为一阶惯性环节,辨识其模型参数;最后在光伏阵列最大功率点输出侧的直流电压上施加阶跃扰动,以等效内环控制模型为基础,辨识外环控制模型的参数。在Matlab中分别建立光伏并网发电单元系统的详细模型和所提的传递函数模型,结果验证了所提模型的合理性。Based on state space average method a single-stage grid-connected photovoltaic （PV） generation unit mode, which is mainly composed of three main parts： PV array, inverter and controller, equivalent impedances of LC filter at grid-connected side and line, is established： Taking particle swarm optimization （PSO） as the method for optimization, the model parameters of the inner loop and the outer loop are identified step by step. Firstly, the step disturbance is applied to the reference current of the inner loop controller on the d-axis to identify the parameters of inner loop control model; secondly, the equivalent inner loop controller model is simplified to a first-order inertia element to identify its model parameters; finally, the step disturbance is applied to the DC voltage at the output side of the maximum power point in the PV array and based on the equivalent inner loop controller the parameters of outer loop controller model are identified. Using Matlab, the detailed model of grid-connected PV generation unit and the transfer function model proposed in this paper are established respectively, and simulation results show that the proposed models are reasonable.

关 键 词：光伏发电单元 参数辨识 粒子群算法 比例积分控制 

分 类 号：TM721[电气工程—电力系统及自动化]