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电力市场环境下抽水蓄能电站容量电费定价与成本分摊方法OA北大核心CSTPCD

Pricing and Cost Allocation Methods for Capacity Charges of Pumped Storage Power Stations in Electricity Market Environment

中文摘要英文摘要

抽水蓄能电站作为一种有效的电力系统灵活性资源,将成为保障新型电力系统安全稳定运行的重要手段.制定合理的回收抽水蓄能电站建设固定成本方案是支撑系统运行、激励投资的关键问题.在抽水蓄能电站的市场化运行背景下,构建了抽水蓄能电站顺次参与现货-辅助服务市场的容量电费定价模型,实现以经营期内收支平衡为目标定期滚动核定抽水蓄能电站的待分摊成本.同时,考虑抽水蓄能电站容量电费的潜在分摊对象,提出采用效用比例VCG(Vickrey-Clarke-Groves)机制对抽水蓄能电站容量电费进行成本分摊,量化源荷侧分摊主体的替代效益,并将容量电费按比例分摊.实际系统算例的仿真分析验证了所提方法的有效性.

Pumped storage power stations,as effective flexibility resources for power systems,will become crucial in ensuring the safe and stable operation of new power systems.The formulation of reasonable schemes for recovering the fixed costs of construction of pumped storage power stations is a key issue in supporting system operation and stimulating investment.In the context of marketization operations for pumped storage power stations,this paper constructs a capacity charge pricing model that sequentially integrates the pumped storage power stations into the spot and ancillary service markets,achieving regular recalibration of the unallocated costs of pumped storage power stations with the objective of revenue and expenditure balance during the operation period.Meanwhile,considering the potential entities for allocating the capacity charges of pumped storage power stations,a utility-proportional Vickrey-Clarke-Groves(VCG)mechanism is proposed to allocate costs of the capacity charges of pumped storage power stations,quantify the substitutive benefits of allocation entities on both the source and load sides,and proportionally allocate the capacity charges.Effectiveness of the proposed method is validated through simulation analysis of actual system cases.

张洪基;丁涛;黄雨涵;谢刘双飞;贺元康;孙骁强

西安交通大学电气工程学院,陕西省西安市 710049国家电网有限公司西北分部,陕西省西安市 710048

抽水蓄能电站两部制电价电力市场成本分摊容量电费

pumped storage power stationtwo-part electricity priceelectricity marketcost allocationcapacity charge

《电力系统自动化》 2024 (011)

88-99 / 12

国家电网有限公司西北分部科技项目(SGNW0000JYJS231 0076);国家自然科学基金资助项目(52277123). This work is supported by Science and Technology Project of Northwest Branch of State Grid Corporation of China(No.SGNW0000JYJS2310076)and National Natural Science Foundation of China(No.52277123).

10.7500/AEPS20231022001

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