中国电力中长期市场分时段交易价格形成机制及模型

doi:10.11930/j.issn.1004-9649.202208082

中国电力 ›› 2023, Vol. 56 ›› Issue (1): 17-27.DOI: 10.11930/j.issn.1004-9649.202208082

• 电价市场化改革与价格监管 • 上一篇下一篇

中国电力中长期市场分时段交易价格形成机制及模型

黄姗姗¹, 叶泽¹, 罗迈¹, 陈磊², 魏文¹, 姚军¹

1. 长沙理工大学经济与管理学院，湖南长沙 410114;
2. 长沙理工大学电气与信息工程学院，湖南长沙 410114

收稿日期:2022-08-22 修回日期:2022-11-25 出版日期:2023-01-28 发布日期:2023-01-14
作者简介:黄姗姗(1998-),女,通信作者,博士研究生,从事电力市场、电价理论研究,E-mail:2895656158@qq.com;叶泽(1962-),男,博士,教授,从事电力技术经济、电价理论与政策研究,E-mail:yeze2003@foxmail.com;罗迈(1997-),男,硕士研究生,从事电价理论研究,E-mail:934328086@qq.com;陈磊(1996-),男,博士研究生,从事电力系统优化控制与运行研究,E-mail:chenlei96918@163.com;魏文(1986-),男,博士研究生,讲师,从事电价及电力市场研究,E-mail:weiwenhn@163.com;姚军(1980-),男,博士研究生,高级工程师,从事电力经济研究,E-mail:13910310554@163.com
基金资助:
国家社会科学基金资助项目（政府定价及监管的管制会计理论与政策研究，20FJB010）

Time-Sharing Trading Price Formation Mechanism and Model of China’s Mid to Long-Term Electricity Market

HUANG Shanshan¹, YE Ze¹, LUO Mai¹, CHEN Lei², WEI Wen¹, YAO Jun¹

1. Department of Economics Management, Changsha University of Science & Technology, Changsha 410114,China;
2. Department of Electrical and lnformation Engineering, Changsha University of Science & Technology, Changsha 410114,China

Received:2022-08-22 Revised:2022-11-25 Online:2023-01-28 Published:2023-01-14
Supported by:
This work is supported by National Social Science Foundation (Research on Regulatory Accounting Theory and Policy of Government Pricing and Supervision, No.20FJB010)

摘要/Abstract

摘要： 电力中长期市场分时段交易是中国电力市场改革的重要举措之一。针对当前电力中长期市场分时段交易价格形成机制不合理、不完善的问题，提出了中国电力中长期市场分时段交易价格形成机制及其模型。首先，分析影响中国电力中长期分时段交易价格形成的因素，提出电力中长期交易的4种典型场景；然后，综合考虑生产成本和用户效用，探索性地提出适用于中长期分时段交易的系统平均成本定价、用户失负荷价值定价、系统边际成本定价和发电企业失负荷价值定价4种成本定价机制，构建了基于成本定价的分时段交易定价模型；最后，以某省实际数据为例进行测算，验证了模型的有效性。

关键词: 电力中长期市场, 分时段交易, 价格形成机制, 平均成本, 边际成本, 失负荷价值

Abstract: The time-sharing trading of mid to long-term electricity market is one of the important reform measures for China's electricity market. Aiming at the unreasonable and imperfect problem of current time-sharing trading price formation mechanism, a novel time-sharing trading price formation mechanism and model is proposed for China’s mid to long-term electricity market. Firstly, the paper analyzes the factors that influence China’s mid to long-term time-sharing trading prices, and puts forward four typical scenarios of mid to long-term power transaction. Then, considering the production cost and users’ utility, the paper proposes four cost pricing mechanisms suitable for mid to long-term market time sharing trading, including system average cost pricing, user value of lost load pricing, system marginal cost pricing and power generation company value of lost load pricing, and a time-sharing trading pricing model is proposed based on cost pricing mechanism. Finally, the validity of the model is verified through a case study of the actual data of H province.

Key words: medium to long-term electricity market, time-sharing trading, price formation mechanism, average cost, marginal cost, value of lost load

黄姗姗, 叶泽, 罗迈, 陈磊, 魏文, 姚军. 中国电力中长期市场分时段交易价格形成机制及模型[J]. 中国电力, 2023, 56(1): 17-27.

HUANG Shanshan, YE Ze, LUO Mai, CHEN Lei, WEI Wen, YAO Jun. Time-Sharing Trading Price Formation Mechanism and Model of China’s Mid to Long-Term Electricity Market[J]. Electric Power, 2023, 56(1): 17-27.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202208082

https://www.electricpower.com.cn/CN/Y2023/V56/I1/17

参考文献

[1] 唐成鹏, 张粒子, 刘方, 等. 基于多智能体强化学习的电力现货市场定价机制研究(一): 不同定价机制下发电商报价双层优化模型[J]. 中国电机工程学报, 2021, 41(2): 536–553
TANG Chengpeng, ZHANG Lizi, LIU Fang, et al. Research on pricing mechanism of electricity spot market based on multi-agent reinforcement learning(part I): Bi-level optimization model for generators under different pricing mechanisms[J]. Proceedings of the CSEE, 2021, 41(2): 536–553
[2] 国家发展改革委国家能源局. 关于做好2021年电力中长期合同签订工作的通知[EB/OL]. (2020-11-25)[2022-06-06]. http://www.gov.cn/zhengce/zhengceku/2020-12/03/content_5566580.htm.
[3] 罗朝春, 葛亮, 叶泽. 省级电力市场中长期交易模式优化探讨(上)[J]. 中国电力企业管理, 2021(28): 37–42
[4] 喻芳. 我国电力中长期市场分时段连续运营的关键问题分析[J]. 中国电力企业管理, 2021(19): 53–54
[5] 韩子颜, 王守相, 赵倩宇, 等. 计及分时电价的5 G基站光储系统容量优化配置方法[J]. 中国电力, 2022, 55(9): 8–15
HAN Ziyan, WANG Shouxiang, ZHAO Qianyu, et al. A capacity optimization configuration method for photovoltaic and energy storage system of 5 G base station considering time-of-use electricity price[J]. Electric Power, 2022, 55(9): 8–15
[6] 王勇, 张爱枫, 艾林, 等. 重庆电力中长期带曲线交易实践[J]. 中国电力企业管理, 2021(7): 59–60
[7] 宋少群, 郑旭冬, 程鑫, 等. 现货市场过渡期的中长期电力市场交易机制分析[J]. 电气应用, 2021, 40(2): 93–97
SONG Shaoqun, ZHENG Xudong, CHENG Xin, et al. Analysis of trading varieties and trading mechanism of medium and long-term electricity market during the transition period of spot market[J]. Electrotechnical Application, 2021, 40(2): 93–97
[8] 张粒子, 唐成鹏, 刘方, 等. 基于多智能体强化学习的电力现货市场定价机制研究(二): 结合理论与仿真的定价机制决策框架[J]. 中国电机工程学报, 2021, 41(3): 1004–1018
ZHANG Lizi, TANG Chengpeng, LIU Fang, et al. Research on pricing mechanism of electricity spot market based on multi-agent reinforcement learning(part Ⅱ): decision-making framework of pricing mechanism combined with theory and simulation[J]. Proceedings of the CSEE, 2021, 41(3): 1004–1018
[9] 厉韧, 王宁, 陈灏. 南方电力现货市场环境下中长期交易模拟运行研究[J]. 价格理论与实践, 2020(2): 47–50
LI Ren, WANG Ning, CHEN Hao. Research on the trial operation of mid-term and long-term transactions in the southern electricity spot market environment[J]. Price: Theory & Practice, 2020(2): 47–50
[10] 姚军, 吴永飞, 王亚莉, 等. 两部制电价政策执行方式对市场资源配置效率的影响[J/OL]. 中国电力, 2022: 1–7 [2022-04-16]. https://kns.cnki.net/kcms/detail/11.3265.TM.20220415.0844.002.html.
YAO Jun, WU Yongfei, WANG Yali, et al. The effect of implementing method of two-part tariff policy on market resource allocation efficiency[J/OL]. Electric Power, 2022: 1–7[2022-04-16]. https://kns.cnki.net/kcms/detail/11.3265.TM.20220415.0844.002.html.
[11] 陈艺华, 张炜, 张成刚, 等. 新型电力系统中促进新能源消纳的电力现货市场交易机制研究[J]. 智慧电力, 2022, 50(2): 97–104
CHEN Yihua, ZHANG Wei, ZHANG Chenggang, et al. Electricity spot market trading mechanism for promoting renewable energy integration in new power system[J]. Smart Power, 2022, 50(2): 97–104
[12] 汤旸, 刘翊枫, 王静, 等. 电力市场售电公司最优购售电量决策模型及其应用[J]. 电力科学与技术学报, 2022, 37(4): 3–12
TANG Yang, LIU Yifeng, WANG Jing, et al. Optimal decision model and application of electricity purchasing and selling of electricity retailer in electricity market[J]. Journal of Electric Power Science and Technology, 2022, 37(4): 3–12
[13] 叶泽. 边际成本定价原理及其在电价制定或形成中的应用[J]. 中国电力企业管理, 2020(25): 33–37
[14] 王宏, 贾渺, 王承民. 中长期电力市场的建立及其竞价原理[J]. 黑龙江电力, 2002, 24(2): 85–88
WANG Hong, JIA Miao, WANG Chengmin. Construction of medium and long-term electric power markets and its competitive price principle[J]. Heilongjiang Electric Power, 2002, 24(2): 85–88
[15] 黄弦超, 张粒子, 陶文斌. 上网侧分时电价设计[J]. 电网技术, 2013, 37(5): 1317–1322
HUANG Xianchao, ZHANG Lizi, TAO Wenbin. Design of time-of-use generation price[J]. Power System Technology, 2013, 37(5): 1317–1322
[16] STEINER P O. Peak load and efficient pricing quarterly[J]. Journal of Economics, 1957(71): 585–610.
[17] WILLIAMSON O E. Peak load pricing and optimal capacity under indivisibility constraints[J]. American Economic Review, 1966, 56(4): 810–827.
[18] WENDERS JOHN T. Peak load pricing in the electric utility industry[J]. The Bell Journal of Economics, 1976, 7(1): 232–241.
[19] 陈振寰, 杨春祥, 张柏林, 等. 甘肃电力现货市场双边交易机制设计[J]. 全球能源互联网, 2020, 3(5): 441–450
CHEN Zhenhuan, YANG Chunxiang, ZHANG Bailin, et al. Design of bilateral trading mechanism for Gansu electricity spot market[J]. Journal of Global Energy Interconnection, 2020, 3(5): 441–450
[20] 于旭光, 李刚, 刘本希, 等. 云南中长期电力市场连续挂牌交易机制应用实践[J]. 电网技术, 2020, 44(12): 4573–4582
YU Xuguang, LI Gang, LIU Benxi, et al. Practice of continuous listing trading mechanism in medium-and long-term electricity market in Yunnan Province[J]. Power System Technology, 2020, 44(12): 4573–4582
[21] 喻芸, 荆朝霞, 陈雨果, 等. 电力市场环境下典型发电容量充裕性机制及对我国的启示[J]. 电网技术, 2019, 43(8): 2734–2742
YU Yun, JING Zhaoxia, CHEN Yuguo, et al. Typical generation resource adequacy mechanism in electricity market and enlightenment to China[J]. Power System Technology, 2019, 43(8): 2734–2742
[22] 叶泽. 电力现货市场价格上下限的经济学依据[J]. 中国电力企业管理, 2020(22): 46–51
[23] 贾曦, 夏清, 陈启鑫, 等. 基于发电有效容量成本的电价机制[J]. 电力系统自动化, 2013, 37(8): 6–13
JIA Xi, XIA Qing, CHEN Qixin, et al. Electricity pricing mechanism based on effective capacity cost of power generation[J]. Automation of Electric Power Systems, 2013, 37(8): 6–13
[24] 马立新, 周尚珺玺. 基于自组织特征映射的连续多日负荷预测方法研究[J]. 机电工程, 2016, 33(3): 342–346
MA Lixin, ZHOU Shangjunxi. Multi-Days load forecasting base on self-organizing feature map[J]. Journal of Mechanical & Electrical Engineering, 2016, 33(3): 342–346

中国电力中长期市场分时段交易价格形成机制及模型

Time-Sharing Trading Price Formation Mechanism and Model of China’s Mid to Long-Term Electricity Market

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

模态框（Modal）标题

中国电力中长期市场分时段交易价格形成机制及模型

Time-Sharing Trading Price Formation Mechanism and Model of China’s Mid to Long-Term Electricity Market

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics