Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online H∞ Policy Iteration

被引：0

作者：

Liu, Yang ^{[1
]}

Jiang, Zhanpeng ^{[1
]}

Xing, Zuoxia ^{[1
]}

Liu, Hengyu ^{[1
,2
]}

Li, Pengtao ^{[1
]}

Han, Xingfan ^{[1
]}

机构：

[1] Shenyang Univ Technol, Shenyang 110870, Peoples R China

[2] State Grid Liaoning Elect Power Co Ltd, Elect Power Res Inst, Shenyang 110000, Peoples R China

来源：

JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING | 2024年 / 24卷 / 09期

关键词：

machine learning for engineering applications; micogrid; power supply and demand; energy storage system;

D O I：

10.1115/1.4064823

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

With the rapid growth of renewable energy generation, its proportion in power generation is increasing. Accompanied by this, due to the uncertain characteristics of renewable energy generation, the issue of imbalanced power supply and demand in microgrids has posed, which brings great challenges to the reliability of microgrid. In recent years, how to use an energy storage system to solve this problem has become a hot research topic in microgrid. In this paper, an online H-infinity policy iteration algorithm is proposed to control the output power of photovoltaic arrays and micro-gas turbines. At the same time, considering the uncertainty of the load demand in the microgrid system and the input disturbance of the micro-gas turbine governor, the power supply and demand relationship of the microgrid can be balanced by the proposed control strategy. Finally, the effectiveness and practicality of the control strategy were demonstrated through simulation analysis.

引用

页数：4

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