考虑可再生能源消纳责任的售电公司购电决策分析

doi:10.11930/j.issn.1004-9649.202005112

中国电力 ›› 2021, Vol. 54 ›› Issue (9): 156-164.DOI: 10.11930/j.issn.1004-9649.202005112

考虑可再生能源消纳责任的售电公司购电决策分析

戴尚文¹, 张利¹, 刘宁宁¹, 杨明¹, 刘畅², 曹胜楠²

1. 电网智能化调度与控制教育部重点实验室（山东大学），山东济南 250061;
2. 国网山东省电力公司营销服务中心（计量中心），山东济南 250001

收稿日期:2020-05-14 修回日期:2020-06-18 发布日期:2021-09-14
作者简介:戴尚文(1996-),男,硕士研究生,从事电力市场研究,E-mail:dai1078566844@163.com;张利(1967-),女,通信作者,博士,副教授,硕士生导师,从事电力市场、电网经济运行技术研究,E-mail:yzhangli@sdu.edu.cn;刘宁宁(1985-),男,硕士,助理实验师,从事电力市场、继电保护技术研究,E-mail:liuningning@sdu.edu.cn;杨明(1980-),男,博士,教授,博士生导师,从事新能源预测与调度应用技术研究,E-mail:myang@sdu.edu.cn
基金资助:
国网山东省电力公司科技项目(SGSDYX00DFJS2100104)

Energy Purchasing Strategy of Electricity Retailer Considering the Responsibility of Renewable Energy Consumption

DAI Shangwen¹, ZHANG Li¹, LIU Ningning¹, YANG Ming¹, LIU Chang², CAO Shengnan²

1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Jinan 250061, China;
2. Marketing Service Center (Metrology Center), State Grid Shandong Electric Power Company, Jinan 250001, China

Received:2020-05-14 Revised:2020-06-18 Published:2021-09-14
Supported by:
This work is supported by Science and Technology Project of State Grid Shandong Electric Power Company (No.SGSDYX00DFJS2100104)

摘要/Abstract

摘要： 作为电力交易的主要参与者之一，售电公司须积极承担消纳可再生能源的责任。为分析可再生能源消纳责任考核对售电公司的影响，建立购电组合投资模型。模型采用场景法描述现货电价、可再生能源出力等因素的不确定性，以考虑条件风险价值的交易成本最小化为目标制定售电公司最优购电策略，并引入消纳责任考核的惩罚机制，实现对考核力度作用的评估。模型采用MATLAB中YALMIP工具箱进行线性规划的求解。采用算例仿真分析风险偏好程度、消纳责任指标、可再生能源预测准确度、监管部门惩罚力度等因素对售电公司最优购电策略的影响，验证了模型的有效性。

关键词: 购电决策, 可再生能源配额制, 消纳责任, 售电公司, 绿色证书

Abstract: As one of the major players in electricity trading, the electricity retailer should actively undertake the responsibility of consuming renewable energy. To analyze the influence of the renewable portfolio standard (RPS) on electricity retailers, this paper constructed a new portfolio investment model of energy purchasing. Scenario analysis is performed to describe the uncertainty about the spot price and renewable energy output in electricity markets. The optimal energy purchasing strategy is developed with the minimum transaction cost based on the conditional value-at-risk (CVaR) as the goal, and the punishment mechanism for consumption responsibility examination is introduced to evaluate different examination criteria. The YALMIP toolbox in MATLAB is adopted to solve linear programming in this model. In addition, the influence of risk preference, RPS quotas, renewable-energy forecast accuracy, and the degrees of penalties from regulatory authorities on the optimal energy purchasing strategy of electricity retailers is analyzed by simulation. The results show that the proposed model is effective.

Key words: energy purchasing strategy, renewable portfolio standard, consumption responsibility, electricity retailer, green certificates

戴尚文, 张利, 刘宁宁, 杨明, 刘畅, 曹胜楠. 考虑可再生能源消纳责任的售电公司购电决策分析[J]. 中国电力, 2021, 54(9): 156-164.

DAI Shangwen, ZHANG Li, LIU Ningning, YANG Ming, LIU Chang, CAO Shengnan. Energy Purchasing Strategy of Electricity Retailer Considering the Responsibility of Renewable Energy Consumption[J]. Electric Power, 2021, 54(9): 156-164.

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https://www.electricpower.com.cn/CN/Y2021/V54/I9/156

参考文献

[1] 任艺, 李庚银, 周明. 售电公司购售电决策及风险管理评述[J]. 现代电力, 2017, 34(4): 79-85
REN Yi, LI Gengyin, ZHOU Ming. A survey on electricity procurement decision-making and risk management for electricity sale company[J]. Modern Electric Power, 2017, 34(4): 79-85
[2] 郭曼兰, 陈皓勇, 肖文平, 等. 物联网环境下售电商运营优化模型[J]. 智慧电力, 2020, 48(11): 80-85, 91
GUO Manlan, CHEN Haoyong, XIAO Wenping, et al. Operational optimization model for electricity suppliers under the internet things environment[J]. Smart Power, 2020, 48(11): 80-85, 91
[3] 国家能源局. 可再生能源电力消纳责任权重确定和消纳量核算方法(试行)[Z]. 2019.
[4] 胡晨, 杜松怀, 苏娟, 等. 新电改背景下我国售电公司的购售电途径与经营模式探讨[J]. 电网技术, 2016, 40(11): 3293-3299
HU Chen, DU Songhuai, SU Juan, et al. Preliminary research of trading approach and management modes of Chinese electricity retail companies under new electricity market reform[J]. Power System Technology, 2016, 40(11): 3293-3299
[5] 王林炎, 张粒子, 张凡, 等. 售电公司购售电业务决策与风险评估[J]. 电力系统自动化, 2018, 42(1): 47-54, 143
WANG Linyan, ZHANG Lizi, ZHANG Fan, et al. Decision-making and risk assessment of purchasing and selling business for electricity retailers[J]. Automation of Electric Power Systems, 2018, 42(1): 47-54, 143
[6] 罗舒瀚, 蒋传文, 王旭, 等. 新电改背景下售电公司的购售电策略及风险评估[J]. 电网技术, 2019, 43(3): 944-953
LUO Shuhan, JIANG Chuanwen, WANG Xu, et al. Power trading strategy and risk assessment of electricity retailing company under power system reform[J]. Power System Technology, 2019, 43(3): 944-953
[7] GARCIA R C, GONZÁLEZ V, CONTRERAS J, et al. Applying modern portfolio theory for a dynamic energy portfolio allocation in electricity markets[J]. Electric Power Systems Research, 2017, 150: 11-23.
[8] 胡源, 熊天军, 薛松, 等. 增量配售电公司评价方法研究[J]. 智慧电力, 2020, 48(6): 47-53
HU Yuan, XIONG Tianjun, XUE Song, et al. Comprehensive evaluation of incremental electricity distribution and retail company[J]. Smart Power, 2020, 48(6): 47-53
[9] 赵新刚, 武晓霞. 绿色证书交易的国际比较及其对中国的启示[J]. 华北电力大学学报(社会科学版), 2019(3): 1-8
ZHAO Xingang, WU Xiaoxia. International comparison of tradable green certificates and its enlightenment to China[J]. Journal of North China Electric Power University (Social Sciences), 2019(3): 1-8
[10] 林卫斌, 付亚楠. 发达国家可再生能源发展机制比较[J]. 开放导报, 2018(3): 23-27
LIN Weibin, FU Yanan. Comparison of renewable energy development mechanisms in developed countries[J]. China Opening Journal, 2018(3): 23-27
[11] 谢旭轩, 王田, 任东明. 美国可再生能源配额制最新进展及对我国的启示[J]. 中国能源, 2012, 34(3): 33-37, 46
XIE Xuxuan, WANG Tian, REN Dongming. The latest progress of renewable portfolio standard in the United States and lessons for China[J]. Energy of China, 2012, 34(3): 33-37, 46
[12] 李国栋, 李庚银, 周明, 等. 国外促进新能源消纳的典型市场机制分析[J]. 中国电力, 2019, 52(2): 46-52, 60
LI Guodong, LI Gengyin, ZHOU Ming, et al. Analysis on foreign typical market mechanisms for promoting new energy consumptive[J]. Electric Power, 2019, 52(2): 46-52, 60
[13] BYRNES L, BROWN C, FOSTER J, et al. Australian renewable energy policy: Barriers and challenges[J]. Renewable Energy, 2013, 60: 711-721.
[14] 冯奕, 刘秋华, 刘颖, 等. 中国售电侧可再生能源配额制设计探索[J]. 电力系统自动化, 2017, 41(24): 137-141, 158
FENG Yi, LIU Qiuhua, LIU Ying, et al. Design and exploration of renewable portfolio standard in power demand side in China[J]. Automation of Electric Power Systems, 2017, 41(24): 137-141, 158
[15] 张翔, 陈政, 马子明, 等. 适应可再生能源配额制的电力市场交易体系研究[J]. 电网技术, 2019, 43(8): 2682-2690
ZHANG Xiang, CHEN Zheng, MA Ziming, et al. Study on electricity market trading system adapting to renewable portfolio standard[J]. Power System Technology, 2019, 43(8): 2682-2690
[16] 王辉, 陈波波, 赵文会, 等. 可再生能源配额制下跨省区电力交易主体最优决策[J]. 电网技术, 2019, 43(6): 1987-1995
WANG Hui, CHEN Bobo, ZHAO Wenhui, et al. Optimal decision-making of trans-provincial power transaction subjects under renewable portfolio standard[J]. Power System Technology, 2019, 43(6): 1987-1995
[17] 黄龙, 陈皓勇, 钟佳宇, 等. 促进可再生能源消纳的电力市场体系[J]. 广东电力, 2020, 33(2): 10-17
HUANG Long, CHEN Haoyong, ZHONG Jiayu, et al. Power market system to promote renewable energy consumption[J]. Guangdong Electric Power, 2020, 33(2): 10-17
[18] 马子明, 钟海旺, 谭振飞, 等. 以配额制激励可再生能源的需求与供给国家可再生能源市场机制设计[J]. 电力系统自动化, 2017, 41(24): 90-96, 119
MA Ziming, ZHONG Haiwang, TAN Zhenfei, et al. Incenting demand and supply of renewable energy with renewable portfolio standard: mechanism design of national renewable energy market[J]. Automation of Electric Power Systems, 2017, 41(24): 90-96, 119
[19] 张显, 谢开, 张圣楠, 等. 基于区块链的可再生能源超额消纳量交易体系[J]. 中国电力, 2020, 53(9): 60-70
ZHANG Xian, XIE Kai, ZHANG Shengnan, et al. Excessive consumption trading system for the accommodation of renewable energies based on blockchain[J]. Electric Power, 2020, 53(9): 60-70
[20] 杨建华, 王雄飞, 肖达强, 等. 促进新能源消纳的交易机制及效益研究[J]. 中国电力, 2020, 53(4): 89-95
YANG Jianhua, WANG Xiongfei, XIAO Daqiang, et al. Research on the transaction mechanism and benefit of promoting new energy consumption[J]. Electric Power, 2020, 53(4): 89-95
[21] 王长浩, 刘洋, 许立雄. 考虑风电和负荷不确定冷热电联供微网日前经济调度[J]. 中国电力, 2020, 53(8): 50-59
WANG Changhao, LIU Yang, XU Lixiong. Day-ahead economic dispatch for a combined cooling, heat and power microgrid system considering wind power and load uncertainty[J]. Electric Power, 2020, 53(8): 50-59
[22] GABRIEL S A, FERUDUN GENC M, BALAKRISHNAN S. A simulation approach to balancing annual risk and reward in retail electrical power markets[J]. IEEE Transactions on Power Systems, 2002, 17(4): 1050-1057.
[23] DO PRADO J C, QIAO W. A stochastic decision-making model for an electricity retailer with intermittent renewable energy and short-term demand response[J]. IEEE Transactions on Smart Grid, 2019, 10(3): 2581-2592.
[24] 罗琴, 宋依群, 徐剑, 等. 基于AHP-Logit模型的竞争性售电公司决策研究[J]. 华东电力, 2013, 41(11): 2373-2377
LUO Qin, SONG Yiqun, XU Jian, et al. AHP-logit based decision-making scheme for competitive electricity retailer[J]. East China Electric Power, 2013, 41(11): 2373-2377
[25] URYASEV S. Conditional value-at-risk: optimization algorithms and applications[C]//Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No. 00TH8520). New York, NY, USA. IEEE, 2000: 49-57.
[26] 岳瑞锋, 李振东, 杨晓萍. 风险管理的CVaR方法及其简化模型[J]. 河北省科学院学报, 2003, 20(3): 134-137
YUE Ruifeng, LI Zhendong, YANG Xiaoping. The CVaR method of risk management and its simplified model[J]. Journal of the Hebei Academy of Sciences, 2003, 20(3): 134-137
[27] 美国PJM电力交易市场网站 [DB/OL]. https://dataminer2.pjm.com/list.2019.

考虑可再生能源消纳责任的售电公司购电决策分析

Energy Purchasing Strategy of Electricity Retailer Considering the Responsibility of Renewable Energy Consumption

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