Secondary Regulation Strategy for Islanded Microgrid Based on Model Predictive Control

被引：0
|
作者：
Li D. [1 ]
Wu Z. [1 ]
Zhao B. [2 ]
Zhang X. [2 ]
Zhang L. [2 ]
机构：
[1] School of Electrical Engineering, Southeast University, Nanjing
[2] Electric Power Research Institute of State Grid Zhejiang Electric Power Co. Ltd., Hangzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Feedback correction; Model predictive control; Rolling optimization; Secondary regulation strategy; State-space model;
D O I：
10.7500/AEPS20180710002
中图分类号：
学科分类号：
摘要：
Due to the influence of line impedance, the conventional P-f and Q-V droop control cannot realize the target of accurate reactive power sharing proportional to their rated capacity and the output voltage amplitudes of all distributed generators (DGs) deviate from nominal voltage. The frequency cannot be maintained at the rated frequency value when load fluctuates. A secondary regulation strategy based on model predictive control (MPC) is proposed. By optimizing the frequency and voltage references of droop control, respectively, the frequency and average system voltage are always maintained at their respective nominal values. Meanwhile, the target of accurate reactive power sharing proportional to their rated capacity is realized and the output voltage amplitude deviation from nominal voltage is reduced. The state-space model of DG is discretized with a certain sampling period in this strategy. The control variables of frequency and voltage are obtained by rolling optimization and feedback correction and then added to P-f and Q-V primary controls, respectively, to realize the secondary regulation for frequency and voltage optimization. The number of proportional-integral (PI) control parameters decreases and the sensitivity to the system parameters is reduced. The MATLAB/Simulink simulation verifies that the proposed strategy has faster transient response characteristics and stronger robustness when load fluctuates compared with the PI based secondary regulation strategy. © 2019 Automation of Electric Power Systems Press.
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页码：60 / 67
页数：7
相关论文
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