"Counter‑intuitive" issues in electricity pricing mechanism from the perspective of zonal pricing methods: research methodology and agent‑based simulation analysis
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(1.China Electric Power Research Institute Co.,Ltd., Beijing 100000, China; 2.School of Electrical Engineering, South China University of Technology, Guangzhou 510000, China; 3.Shandong Power Exchange Center Co.,Ltd., Jinan 370100, China)

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TM863

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    Abstract:

    Considering factors such as the dynamic, systematic, and long?term nature of the electricity market, there are often many counter?intuitive issues, the correct inferences contradict people's intuitions. In this regard, taking the zonal pricing mechanism as an example, counterintuitive issues within the electricity pricing mechanism are explored. Firstly, based on mechanism design theory, Firstly, based on mechanism design theory, the incentive compatibility issues in mechanism design and their relationship with counter?intuitive phenomena are analyzed. In response to the dynamic characteristics of market participants, an analytical approach that combines static and dynamic analyses is presented for addressing counterintuitive issues. Finally, using the generation?side nodal weighted average price as the settlement price as the example, a simulation analysis on potential counter?intuitive issues arising from the mentioned mechanism is carried out from both the static and dynamic perspectives. The results indicate that under this mechanism, due to some market participants declaring prices based on individual rationality, it does not necessarily lead to a reduction in electricity procurement costs. To address this, there is a need to design corresponding cost compensation and sharing mechanisms for such units, ensuring compliance with incentive compatibility constraints in the market.

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龙苏岩,宋瑜辉,刘宇明,张天宝,季天瑶,荆朝霞.从分区定价方法看电价机制中的“反直觉”问题:研究方法及其代理模拟分析[J].电力科学与技术学报英文版,2023,38(6):20-33. LONG Suyan, SONG Yuhui, LIU Yuming, ZHANG Tianbao, JI Tianyao, JING Zhaoxia."Counter‑intuitive" issues in electricity pricing mechanism from the perspective of zonal pricing methods: research methodology and agent‑based simulation analysis[J]. Journal of Electric Power Science and Technology,2023,38(6):20-33.

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  • Online: January 30,2024
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