Multi‑objective optimal configuration model of microgrid considering demand response and waste classification treatment
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(1.College of Electrical Engineering, Shanghai University of Electric Power,Shanghai 200090, China; 2.Shaoxing City Shangyu District Power Supply Company,State Grid Zhejiang Province, Shaoxing 312000, China)

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TM615

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    Abstract:

    In order to solve the problems of environmental pollution and resource waste in the process of municipal solid waste (MSW) disposal, it is proposed to integrate MSW management and renewable power generation system with the traditional microgrid configuration scheme. In the face of the lack of source-load matching within the microgrid and the differences in microgrid output characteristics caused by different wind and solar configurations, it is proposed to formulate a demand response strategy based on the wind and solar configuration conditions of the microgrid. A multi-objective optimal allocation model is established with the objectives of minimizing the operating cost, energy waste rate and load shortage rate of equal annual value allocation, and in order to improve the convergence and distribution of the Pareto solution set, the augmented generalized ε-constraint method is used to solve the problem. Finally, the improved IEEE-33 node model of the microgrid is used for simulation, and the results of the arithmetic example show that the microgrid effectively enhances the clean energy consumption capacity and system reliability, and at the same time has good economics.

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陈 说,许仪勋,田 雨,韩菲儿.考虑需求响应和废弃物分类处理的微电网多目标优化配置模型[J].电力科学与技术学报英文版,2025,40(1):199-210. CHEN Shuo, XU Yixun, TIAN Yu, HAN Feier. Multi‑objective optimal configuration model of microgrid considering demand response and waste classification treatment[J]. Journal of Electric Power Science and Technology,2025,40(1):199-210.

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  • Online: March 18,2025
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