计及需求响应的海岛微电网双层优化运行

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Abstract To comprehensively consider the benefits of both the supply and demand sides in the scheduling process of a microgrid, an island microgrid dual-layer optimal scheduling model considering demand response is established. The upper level optimizes the output of each unit with the goal of maximizing the net revenue of the microgrid. The lower level optimizes the load curve with the goal of maximizing residents’ overall comfort. An improved dung beetle optimizer is used to solve the dual-layer optimization model. The population is initialized using a sinusoidal mapping and optimized with quasi-oppositional learning to increase population diversity. During the update phase, the Harris hawks’ besiege strategy and adaptive t-distribution perturbation are introduced to enhance the optimization capability and improve the solution quality. The superiority of the improved algorithm is verified by comparing its convergence on test functions with other algorithms. The case study results show that the improved algorithm not only improves the system’s economic benefits but also enhances the users’ electricity and energy comfort. Comparing the results with those obtained by the original dung beetle optimizer confirms the effectiveness of the im-proved method.

Key words： microgrid demand response dual-layer optimization dung beetle optimizer

Received: 05 September 2024

About author:: 湖南省自然科学基金项目（2023JJ50176）;湖南省教育厅重点项目（23A0441）

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	KUANG Honghai
	XU Yuhao
	LI Zilong
	YANG Huixian

Cite this article:

KUANG Honghai,XU Yuhao,LI Zilong等. Dual-layer optimization operation of an island microgrid considering demand response[J]. Electrical Engineering, 2025, 26(3): 15-21.

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https://dqjs.cesmedia.cn/EN/Y2025/V26/I3/15

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