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Multi-objective hierarchical optimization for grid-connected microgrids considering H∞ performance index
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DOI：10.1016/j.jfranklin.2024.107156.png)
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摘要
En 中文
This paper presents a framework structure based on cloud computing for voltage regulation and economic operation of microgrids. Distributed generators (DGs) are controlled through the coordination of a cloud computing layer multi-objective optimization procedure. The cloud computing layer scheduling applies a genetic algorithm aiming at normal voltage operation, minimum cost, and minimum losses, i.e., achieving the economic operation of DGs while ensuring that the voltage does not cross the limit. The control layer employs a combination of H infinity and guaranteed cost control to regulate the dynamic performance of DGs and improve system robustness. A ten-bus test system is used to verify the effectiveness of the proposed control strategy.
Keyword:
Grid-connected microgrids
Cloud computing
Multi-objective
H infinity control
Guaranteed cost control
期刊
J
IF:
3.7
论文数:
6.4K
被引数:
1.5W
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