记笔记

Droop Control of Microgrid Based on Genetic Optimization Algorithm

Yongqi TangXinxin TangJiawei LiMingqiang Wu

Hunan Institute of Engineering,College of Electrical Information

摘要：The microgrid is composed of multiple distributed power generation units and can be managed in combination with multiple energy sources.In the island mode,a reasonable allocation of power is required between different power generating unit devices to ensure the stability of the entire system.Due to the difference in impedance between the system AC bus and each inverter,the traditional droop control cannot coordinate the power of each branch.In this strategy,a new control method that operates in parallel mode with inverters that do not require bus connections is used,and frequency and voltage control can be achieved without any common control circuit or communication between the inverters.By optimizing the genetic algorithm to obtain better droop control parameters,the power of the system can be adjusted,so that the droop controllers of multiple DG output powers reach the optimal distribution state.The changes of different DG powers are analyzed in detail in Matlab/simulink platform to verify the stability and feasibility of the proposed strategy.

关键词：

Microgrid; Distributed Generation; Droop Control; Virtual Synchro nous Machine; Genetic Algorithm;

基金：

Provincial Natural Science Fund-Provincial and Municipal Joint Fund Project （2019jj60042）； Collaborative Innovation and Guidance Fund Project for Wind Power Equipment and Power Conversion （02019/03002）；

会议名称：

The 9th International Conference on Computer Engineering and Networks（CENet2019）

会议时间：

2019-10-18

会议地点：

中国湖南长沙