Secondary Restoration of Islanded AC Microgrids under Neural Inverse Optimal Control with Genetic Algorithm

被引：1
|
作者：
Cai, Cong [1 ]
Li, Jian [1 ,2 ]
Su, Qingyu [1 ,2 ]
机构：
[1] Northeast Elect Power Univ, Sch Automat Engn, Jilin 132012, Jilin, Peoples R China
[2] Jilin Prov Key Lab Adv Control Technol Smart Ener, Jilin 132012, Jilin, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
关键词：
Distributed control; secondary control; islanded microgrids; inverse optimal controller; genetic algorithm; LOAD FREQUENCY CONTROL; SYSTEM;
D O I：
10.1109/CCDC58219.2023.10327479
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A distributed neural inverse optimal controller is proposed as a secondary recovery for controlling frequency and voltage of inverter-based islanded microgrids. The proposed controller is further improved on the basis of the conventional droop control. The neural network trained by extended Kalman filtering (EKF) is used to approximate the unknown microgrid model. Next, the network model is used to implement the corresponding inverse optimal controller. Meanwhile, a genetic algorithm is used to optimize the parameters of the neural inverse optimal controller so as to improve the performance of the controller and achieve the overall optimization. The designed control system is in distributed form and only information from adjacent distributed generators is required. A four-unit system simulation is performed to verify the effectiveness of the controller.
引用
收藏
页码：295 / 300
页数：6
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