An economic dispatch optimization approach for demand response in off‑grid microgrid based on IGDT‑Stackelberg game
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(1.Electric Power Research Institute, CSG, Guangzhou 510530, China; 2.Guangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, Guangzhou 510530, China; 3.Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China)

Clc Number:

TM73;TK01

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    Abstract:

    In view of the minimum electricity cost for users in the demand response of off-grid microgrids, an economic dispatch optimization method for the demand response of off-grid microgrids based on the IGDT-Stackelberg game is proposed. Firstly, the information gap decision theory is used to solve the uncertainty interval of renewable energy generation power. Secondly, the renewable energy output expectation is calculated based on the acceptance of strategy risk on the generation side. Finally, the Stackelberg game model is used to manage the iterative interactions of the two-side strategies to determine the optimal output allocation of the generating units on the supply side, so as to reduce the cost of generation. The experimental results show that the proposed method can significantly reduce the peak-to-valley ratio of daily loads on the demand side and minimize the electricity consumption cost for users compared with the existing methods while circumventing the risk of photovoltaic (PV) unit output prediction bias.

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潘廷哲,金 鑫,谈竹奎,王宗义,刘 斌,曹望璋.基于IGDT‑Stackelberg博弈的离网型微电网需求响应经济调度优化方法[J].电力科学与技术学报英文版,2024,39(6):222-231. PAN Tingzhe, JIN Xin, TAN Zhukui, WANG Zongyi, LIU Bin, CAO Wangzhang. An economic dispatch optimization approach for demand response in off‑grid microgrid based on IGDT‑Stackelberg game[J]. Journal of Electric Power Science and Technology,2024,39(6):222-231.

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  • Online: February 14,2025
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