市场环境下分布式光伏协调售电交易机制及策略

doi:10.11930/j.issn.1004-9649.202010100

中国电力 ›› 2021, Vol. 54 ›› Issue (11): 29-36.DOI: 10.11930/j.issn.1004-9649.202010100

• 电力市场建设及运行机制专栏 • 上一篇下一篇

市场环境下分布式光伏协调售电交易机制及策略

刘景青¹, 马伟¹, 贺楠¹, 谢晓琳¹, 陈婧², 夏清³

1. 河北电力交易中心有限公司,河北石家庄 050011;
2. 北京清能互联科技有限公司,北京 100084;
3. 清华大学电机工程与应用电子技术系,北京 100084

收稿日期:2020-10-24 修回日期:2021-04-02 出版日期:2021-11-05 发布日期:2021-11-16
作者简介:刘景青(1987-),男,硕士,工程师,从事电力市场建设、电力系统控制与运行研究,E-mail:liujingqing1987@126.com;陈婧(1990-),女,通信作者,硕士,工程师,从事电力市场机制设计、电力交易结算研究,E-mail:chenjing@tsintergy.com
基金资助:
国家自然科学基金资助项目(基于制度有效性理论的综合能源系统运营机制及关键技术研究，U1966204)

Mechanism and Strategy for Distributed Photovoltaic Coordinated Electricity-Sale in Electricity Market

LIU Jingqing¹, MA Wei¹, HE Nan¹, XIE Xiaolin¹, CHEN Jing², XIA Qing³

1. Hebei Electric Power Trading Center, Shijiazhuang 050011, China;
2. Beijing TsIntergy Technical Co., Ltd., Beijing 100084, China;
3. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China

Received:2020-10-24 Revised:2021-04-02 Online:2021-11-05 Published:2021-11-16
Supported by:
This work is supported by National Natural Science Foundation of China(Research on Operation Mechanism and Key Technologies of Integrated Energy System Based on Institution Effectiveness，No.U1966204)

摘要/Abstract

摘要： 推进分布式电源参与电力市场交易是能源发展与市场发展的必然要求，而分布式电源可通过售电公司代理的方式参与市场。在现货市场背景下，以分布式光伏为例，针对协调售电的模式，提出了以售电公司购电成本最小化为目标的交易决策模型。设计了代理双方“双价格”的合约定价机制，分别基于预测电价及实际电价确定优化决策价格和结算价格，前者用于模型优化，后者用于合约结算，从而实现代理双方的利益平衡，为售电公司代理并管理分布式光伏发电从而促进市场环境下分布式光伏的有效利用提供思路，也为售电公司在新的代理关系下参与现货市场申报提供依据。

关键词: 分布式光伏, 售电公司, 协调售电, 定价机制, 现货市场

Abstract: Promoting distributed generation to participate in power market transaction is the inevitable requirement of energy development and market development, while the distributed generation can participate in the market through the agent of electricity retailers. Under the background of spot market, by taking distributed photovoltaic (PV) generation as an example, a transaction decision-making model is proposed for coordinated electricity-sale mode with the minimum electricity purchasing cost of retailers as objective. This paper designs a "double-price" contract pricing mechanism for electricity retailers to determine the optimal decision price and settlement price based on the predicted and actual electricity prices respectively. The optimal decision price is used for model optimization, while the settlement price is used for contract settlement, thus realizing the balance of interests of both parties. The proposed mechanism and strategy for coordinated electricity-sale can provide some ideas for the electricity retailers to manage the distributed photovoltaic power generation and promote the effective utilization of distributed photovoltaic power in electricity market, and also can provide the basis for the electricity retailers to participate in the spot market under the new agent relationship.

Key words: distributed photovoltaic, retailers, coordinated electricity-sale mode, pricing mechanism, spot market

刘景青, 马伟, 贺楠, 谢晓琳, 陈婧, 夏清. 市场环境下分布式光伏协调售电交易机制及策略[J]. 中国电力, 2021, 54(11): 29-36.

LIU Jingqing, MA Wei, HE Nan, XIE Xiaolin, CHEN Jing, XIA Qing. Mechanism and Strategy for Distributed Photovoltaic Coordinated Electricity-Sale in Electricity Market[J]. Electric Power, 2021, 54(11): 29-36.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202010100

https://www.electricpower.com.cn/CN/Y2021/V54/I11/29

参考文献

[1] 刘海涛, 王梦真, 吴鸣, 等. 新电改背景下分布式电源典型运营模式及经营策略研究[J]. 智慧电力, 2017, 45(11): 1–6, 30
LIU Haitao, WANG Mengzhen, WU Ming, et al. Typical operation model and marketing strategy of distributed generation under new electricity market reform[J]. Smart Power, 2017, 45(11): 1–6, 30
[2] 赵楠, 王蓓蓓. 计及多类型需求响应资源的配电网分布式电源优化配置[J]. 中国电力, 2019, 52(11): 51–59, 67
ZHAO Nan, WANG Beibei. Optimal allocation of distributed generation in distribution system considering multi-type demand response resources[J]. Electric Power, 2019, 52(11): 51–59, 67
[3] 乐健, 柳永妍, 叶曦, 等. 含高渗透率分布式电能资源的区域电网市场化运营模式[J]. 中国电机工程学报, 2016, 36(12): 3343–3351
LE Jian, LIU Yongyan, YE Xi, et al. Market-oriented operation pattern of regional power network integration with high penetration level of distributed energy resources[J]. Proceedings of the CSEE, 2016, 36(12): 3343–3351
[4] 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 of Things environment[J]. Smart Power, 2020, 48(11): 80–85, 91
[5] 邹云阳, 杨莉. 基于经典场景集的风光水虚拟电厂协同调度模型[J]. 电网技术, 2015, 39(7): 1855–1859
ZOU Yunyang, YANG Li. Synergetic dispatch models of a wind/PV/hydro virtual power plant based on representative scenario set[J]. Power System Technology, 2015, 39(7): 1855–1859
[6] 顾伟, 任佳依, 高君, 等. 含分布式电源和可调负荷的售电公司优化调度模型[J]. 电力系统自动化, 2017, 41(14): 37–44
GU Wei, REN Jiayi, GAO Jun, et al. Optimal dispatching model of electricity retailers considering distributed generator and adjustable load[J]. Automation of Electric Power Systems, 2017, 41(14): 37–44
[7] 于韶源, 刘航宇, 耿建, 等. 分布式发电市场价交易模式和机制研究[C]// 中国电机工程学会电力市场专委会2019年学术年会. 成都. 2019: 1–7.
[8] 林芬, 江岳文. 基于多场景联系数的分布式风电场售电收益研究[J]. 智慧电力, 2019, 47(11): 97–103
LIN Fen, JIANG Yuewen. Research on electricity sales revenues from distributed wind farm based on multi-scenario combined with connection number[J]. Smart Power, 2019, 47(11): 97–103
[9] 林俐, 许冰倩, 王皓怀. 典型分布式发电市场化交易机制分析与建议[J]. 电力系统自动化, 2019, 43(4): 1–8
LIN Li, XU Bingqian, WANG Haohuai. Analysis and recommendations of typical market-based distributed generation trading mechanisms[J]. Automation of Electric Power Systems, 2019, 43(4): 1–8
[10] 贾晨, 杜欣慧, 姚宏民. 计及不确定因素的售电公司动态购电决策多目标优化研究[J]. 电力系统保护与控制, 2019, 47(21): 134–143
JIA Chen, DU Xinhui, YAO Hongmin. Multi-objective optimization research on dynamic procurement strategy for electricity retailers considering uncertainty factors[J]. Power System Protection and Control, 2019, 47(21): 134–143
[11] 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
[12] 孙波, 廖强强, 刘宇, 等. 分布式光伏储能电池混合系统的经济性分析[J]. 电力建设, 2016, 37(8): 102–107
SUN Bo, LIAO Qiangqiang, LIU Yu, et al. Economic analysis of hybrid system containing distributed photovoltaic power and battery stored energy[J]. Electric Power Construction, 2016, 37(8): 102–107
[13] 戚永志, 刘玉田. 风光储联合系统输出功率滚动优化与实时控制[J]. 电工技术学报, 2014, 29(8): 265–273
QI Yongzhi, LIU Yutian. Output power rolling optimization and real-time control in wind-photovoltaic-storage hybrid system[J]. Transactions of China Electrotechnical Society, 2014, 29(8): 265–273
[14] 贾肖肖. 独立光伏系统中蓄电池充放电技术的研究[D]. 太原: 太原理工大学, 2016.
JIA Xiaoxiao. Research on battery charging and discharging technology in independent photovoltaic system[D]. Taiyuan: Taiyuan University of Technology, 2016.
[15] 韩璐. 风光储联合发电系统平滑控制方法研究[D]. 成都: 电子科技大学, 2014.
HAN Lu. The research of smoothing method for wind-photovoltaic-storage hybrid power system[D]. Chengdu: University of Electronic Science and Technology of China, 2014.
[16] 吴兴全, 李秋鹏, 乔梁, 等. 分布式光伏发电定价方法探讨[J]. 电力需求侧管理, 2016, 18(5): 10–14
WU Xingquan, LI Qiupeng, QIAO Liang, et al. Discussion on pricing methods of distributed photovoltaics[J]. Power Demand Side Management, 2016, 18(5): 10–14
[17] 杨昌辉, 葛志祥. 关于分布式光伏发电上网定价研究[J]. 价格理论与实践, 2018(4): 51–55
YANG Changhui, GE Zhixiang. Feed-in tariff pricing model and simulation analysis of distributed photovoltaic generation in China[J]. Price: Theory & Practice, 2018(4): 51–55
[18] 黄洁亭, 谢宏文, 易跃春, 等. 国内外光伏电站上网电价对比分析[J]. 电力勘测设计, 2018(7): 75–80
HUANG Jieting, XIE Hongwen, YI Yuechun, et al. Contrastive analysis of feed-in tariff of photovoltaic power station in domestic and overseas[J]. Electric Power Survey & Design, 2018(7): 75–80
[19] 杨继波, 孔令丞. 可再生能源并网定价文件评述[J]. 经济问题探索, 2014(9): 141–145
[20] 张轶姿, 彭小东, 杜敏, 等. 分布式电源综合补偿机制研究[J]. 电力需求侧管理, 2015, 17(4): 13–19
ZHANG Yizi, PENG Xiaodong, DU Min, et al. Research on comprehensive compensation mechanism of distributed generation[J]. Power Demand Side Management, 2015, 17(4): 13–19
[21] 谭忠富, 张金良. 利用多因素小波变换和多变量时间序列模型的日前电价预测[J]. 中国电机工程学报, 2010, 30(1): 103–110
TAN Zhongfu, ZHANG Jinliang. Day-ahead electricity price forecasting based on multi-factor wavelet analysis and multivariate time series models[J]. Proceedings of the CSEE, 2010, 30(1): 103–110

市场环境下分布式光伏协调售电交易机制及策略

Mechanism and Strategy for Distributed Photovoltaic Coordinated Electricity-Sale in Electricity Market

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市场环境下分布式光伏协调售电交易机制及策略

Mechanism and Strategy for Distributed Photovoltaic Coordinated Electricity-Sale in Electricity Market

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