摘要
提出一种基于灰狼优化(GWO)算法的微电网并网控制器参数优化方法。将并网控制器参数设计问题转换为以控制误差为目标函数的优化问题,采用GWO算法进行优化,从而简化控制器参数设计的过程。针对微电网电磁暂态仿真的数学模型复杂、仿真时间长等缺点,提出采用微电网的动态相量模型对控制器进行参数优化。最后,通过基于GWO算法和微电网动态相量模型得到并网控制器优化参数,并将参数优化的动态相量模型与电磁暂态模型进行对比。仿真结果证明了提出的微电网控制器参数优化方法的可行性、准确性。
A parameter optimization design scheme of grid-connected controllers based on grey wolf optimization（ GWO） algorithm was illustrated. In order to simplify parameters design,parameters design of gridconnected controllers is modeled as an optimization problem. In allusion to the shortcomings of electromagnetic transient model,dynamic phasor model was proposed to parameter optimization design. The optimal parameters of the grid-connected controller can be obtained quickly by using the proposed method. Compared with the electromagnetic transient model,the simulation results of the proposed method show its feasibility and correctness.
出处
《电器与能效管理技术》
2017年第20期51-55,62,共6页
Electrical & Energy Management Technology
关键词
并网控制器
参数优化
灰狼优化(GWO)算法
动态相量模型
grid-connected controllers
parameters optimization
grey wolf optimizntion（GWO） algorithm
dynamic phasor model
