基于灰狼优化算法的微电网并网控制器参数优化设计  

Parameters Optimization Design of Grid-Connected Controllers in Micro-Grid Basd on GWO Algorithm

作　　者：牛成玉 傅仲文[1] 

机构地区：[1]河北工业大学电气工程学院,天津300130

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

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.

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 

分 类 号：TM74[电气工程—电力系统及自动化]