Research on power consumption optimization based on interactive real‑time price mechanism
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(1.College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.Zhoushan Power Supply Company,State Grid Zhejiang Electric Power Co., Ltd.,Zhoushan 316000, China)

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TM863

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    Abstract:

    To meet the requirements of accommodating new energy sources and balancing power supply and demand, a new type of power system dominated by new energy sources needs to maximize the load-side regulation capability. To address the problem of insufficient exploitation of load-side regulation capability, this study proposes an electricity load optimization method based on an interactive real-time electricity price mechanism. Firstly, a generalized benchmark new energy output curve is established based on the total new energy within a regional power grid. Secondly, a source-load similarity calculation method based on improved time series morphological similarity is proposed to calculate the similarity between electricity load and the generalized new energy benchmark curve, and a model for the correlation between load and electricity price is constructed. Then, an interactive real-time electricity price mechanism based on source-load similarity is proposed to guide user participation in response. Finally, a multi-objective optimization model is constructed for load optimization. Simulation results show that the proposed interactive real-time electricity price mechanism achieves better load optimization results, effectively increases user participation in demand-side response, and accurately measures the similarity between new energy and load curves. This approach stabilizes the net load power and promotes the high-quality integration of new energy.

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汤 波,林静涛,杨 鹏,余光正,钟宇军,陆丹丹.基于交互式实时电价机制的用电优化研究[J].电力科学与技术学报英文版,2024,(1):105-114. TANG Bo, LIN Jingtao, YANG Peng, YU Guangzheng, ZHONG Yujun, LU Dandan. Research on power consumption optimization based on interactive real‑time price mechanism[J]. Journal of Electric Power Science and Technology,2024,(1):105-114.

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  • Received:
  • Revised:
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  • Online: April 22,2024
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