自适应遗传模糊双闭环控制的微电网母线稳压  

Microgrid Bus Voltage Stabilization Based on Adaptive Genetic Fuzzy Double Closed-Loop Control

作　　者：张玉[1] 杨宏万 王鹏 ZHANG Yu;YANG Hong-wan;WAN Peng(College of Mechanical and Control Engineering,Guilin University of Technology,Guilin Guangxi 541004,China)

机构地区：[1]桂林理工大学机械与控制工程学院,广西桂林541004

出　　处：《计算机仿真》2023年第1期107-111,共5页Computer Simulation

基　　金：广西自然科学基金(2017GXNSFAA198161)。

摘　　要：在离网型微电网中,主要通过储能装置充、放电,维持着母线电压稳定和系统功率平衡,一般对储能变换器采用电压电流双闭环控制和模糊控制,传统双闭环控制参数和模糊控制中的比例因子与量化因子在系统运行中不能实时调整,导致系统的动态响应速度较慢以及抗干扰能力较弱。针对上述问题,文提出了自适应遗传模糊双闭环控制,通过调节量化因子和比例因子,实时整定PI控制参数,优化控制效果。在MATLAB/Simulink中搭建仿真平台,仿真结果表明,自适应遗传模糊双闭环控制集模糊和PI控制优点于一身,在不同工作状态下系统不仅动态响应较快、超调量小、抗干扰能力强,而且鲁棒性好。In the off-grid microgrid, the energy storage device is mainly charged and discharged to maintain the stability of the bus voltage and the system power balance. Generally, the voltage and current double closed loop control and fuzzy control are adopted for the energy storage converter. The traditional double closed loop control parameters and the scale factor and quantization factor in fuzzy control cannot be adjusted in real time during the system operation, resulting in slower dynamic response speed and weak anti-interference ability of the system. In response to the above problems, this paper proposes an adaptive genetic fuzzy double closed-loop control, which can adjust the PI control parameters in real time by adjusting the quantization factor and the proportional factor to optimize the control effect. The simulation platform was built with MATLAB/Simulink. The simulation results show that the adaptive genetic fuzzy double closed-loop control combines the advantages of fuzzy and PI control. Under different working conditions, the system not only has fast dynamic response, small overshoot, and strong anti-interference ability, and the robustness is good.

关 键 词：光伏微电网 模糊控制 自适应模糊控制 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]