高卫恒,王吉文,栾喜臣
GAO Weiheng,WANG Jiwen,LUAN Xichen

• 1:国网安徽省电力有限公司

摘要(Abstract)：

在新能源渗透率不断提高的背景下，储能等灵活性资源是构建新型电力系统的重要支撑。基于安徽电力市场建设现状，提出一种独立储能参与电力市场的多阶段协同交易策略。首先，提出了中长期交易结算模式。然后，针对电价和功率预测的不确定性，建立了多概率场景表征的日前电能量-备用辅助服务联合出清模型，并在此基础上建立了日内偏差量单独交易模型。其次，分析了储能老化成本对收益的影响。最后，以独立储能收益最大化为目标进行仿真，结果表明所提机制能有效提升独立储能市场收益，以期为电力市场建设提供参考。
In the context of continuously increasing penetration of new energy sources, flexible resources such as energy storage play a crucial role in constructing a new power system. Based on the current status of the electricity market in Anhui Province, a multi-stage collaborative trading strategy for independent energy storage in the electricity market is proposed. Firstly, a medium-to-long-term transaction settlement model is introduced. Then, to address the uncertainty of electricity price and power forecasting, a day-ahead joint clearing model for electric energy and reserve ancillary services characterized by multiple probability scenarios is established. Furthermore, a separate trading model for intraday deviations is developed. Additionally, an analysis is conducted on the impact of energy storage aging costs on revenue. Finally, simulations are conducted with the objective of maximizing independent energy storage revenue, and the results indicate that the proposed mechanism can effectively enhance market returns for independent energy storage, providing insights for the development of the electricity market.

关键词(KeyWords)： 独立储能;电力市场;中长期交易;电能量市场;辅助服务市场
independent energy storage;electricity market;medium-to-long-term transaction;electric energy market;ancillary service market

Abstract:

Keywords:

基金项目(Foundation): 国网安徽省电力有限公司科技项目（521200220004）

作者(Author): 高卫恒,王吉文,栾喜臣
GAO Weiheng,WANG Jiwen,LUAN Xichen

DOI: 10.19585/j.zjdl.202405011

参考文献(References)：

• [1]许高秀，邓晖，房乐，等.考虑需求侧灵活性资源参与的国内外电力辅助服务市场机制研究综述[J].浙江电力，2022,41(9):3-13.XU Gaoxiu,DENG Hui,FANG Le,et al.A review of ancillary service market mechanism study at home and abroad considering flexible resources on demand side[J].Zhejiang Electric Power,2022,41(9):3-13.
• [2]关立，黄国栋，吴锋，等.面向高比例分布式光伏的电力调度及市场化机制研究[J].浙江电力，2022,41(8):10-16.GUAN Li,HUANG Guodong,WU Feng,et al.Research on power dispatching and marketization mechanism for high-proportion distributed photovoltaic[J].Zhejiang Electric Power,2022,41(8):10-16.
• [3]中电联.2023年1-3月份电力工业运行简况[EB/OL].[2023-04-26]. https：//www. cec. org. cn/detail/index.html?3-320252.
• [4]周子青，邓晖，房乐，等.新能源参与浙江电力现货市场的交易机制与效益分析[J].浙江电力，2022,41(8):41-48.ZHOU Ziqing,DENG Hui,FANG Le,et al.New energy market trading mechanism and benefit analysis of Zhejiang electricity spot market[J].Zhejiang Electric Power,2022,41(8):41-48.
• [5]栾天，杨争林，李继红，等.适应电化学储能成本特性的电力市场机制设计[J/OL].电力系统自动化[2023-03-13].http：//doi.org/10.7500/AEPS20220810005.LUAN Tian,YANG Zhenglin,LI Jihong,et al.Design of electricity market mechanism adapting to cost characteristics of electrochemical energy storage[J/OL].Automation of Electric Power Systems[2023-03-13].http：//doi.org/10.7500/AEPS20220810005.
• [6]国家发改委.关于进一步推动新型储能参与电力市场和调度运用的通知[EB/OL].[2022-05-24].https：//www.ndrc. gov. cn/xxgk/zcfb/tz/202206/t20220607_1326854.html.
• [7]周天娇，周任军，黄婧杰，等.储能聚合商自营共享模式下电能交易方法[J].电力自动化设备，2023,43(5):171-176.ZHOU Tianjiao,ZHOU Renjun,HUANG Jingjie,et al.Energy trading method of energy storage aggregators under self-operating and sharing mode[J]. Electric Power Automation Equipment,2023,43(5):171-176.
• [8]丁涛，孙嘉玮，黄雨涵，等.储能参与容量市场的国内外现状及机制思考[J/OL].电力系统自动化[2023-04-25].http：//doi.org/10.7500/AEPS20221130015.DING Tao,SUN Jiawei,HUANG Yuhan,et al.Domestic and foreign present situation of capacity market with energy storage and thought on its mechanism[J/OL].Automation of Electric Power Systems[2023-04-25]. http：//doi.org/10.7500/AEPS20221130015.
• [9]马勇，谢昕怡，杜超本，等.电池储能参与一次调频辅助服务特性分析[J].武汉大学学报（工学版），2022,55(11):1149-1158.MA Yong,XIE Xinyi,DU Chaoben,et al.Analysis of the characteristics of primary frequency regulation auxiliary service with battery energy storage participation[J].Engineering Journal of Wuhan University,2022,55(11):1149-1158.
• [10]周臣.储能参与辅助服务日前投标容量优化研究[D].大连：大连理工大学，2022.ZHOU Chen.Research on optimization of bidding capacity before energy storage participation in auxiliary service[D].Dalian:Dalian University of Technology,2022.
• [11]孙伟卿，裴亮，向威，等.电力系统中储能的系统价值评估方法[J].电力系统自动化，2019,43(8):47-55.SUN Weiqing,PEI Liang,XIANG Wei,et al.Evaluation method of system value for energy storage in power system[J].Automation of Electric Power Systems,2019,43(8):47-55.
• [12]肖云鹏，张兰，张轩，等.包含独立储能的现货电能量与调频辅助服务市场出清协调机制[J].中国电机工程学报，2020,40（增刊1）:167-180.XIAO Yunpeng,ZHANG Lan,ZHANG Xuan,et al.The coordinated market clearing mechanism for spot electric energy and regulating ancillary service incorporating independent energy storage resources[J]. Proceedings of the CSEE,2020,40(S1):167-180.
• [13]刘奕彤，艾欣.基于主从博弈的独立储能系统参与日前现货联合市场的交易策略研究[J].现代电力，2023,40(5):751-759.LIU Yitong,AI Xin.Research on trading strategy of independent energy storage system participating in day ahead spot joint market based on master-slave game[J].Modern Electric Power,2023,40(5):751-759.
• [14]宋天昊，李柯江，韩肖清，等.储能系统参与多应用场景的协同运行策略[J].电力系统自动化，2021,45(19):43-51.SONG Tianhao,LI Kejiang,HAN Xiaoqing,et al.Coordinated operation strategy of energy storage system participating in multiple application scenarios[J].Automation of Electric Power Systems,2021,45(19):43-51.
• [15]殷高文，沈非凡，黄晟，等.面向电力市场多时间尺度场景应用的风储系统调度方法[J/OL].上海交通大学报：1-18[2023-05-30]. https：//kns. cnki. net/kcms2/article/abstract?v=PkrNiO65NLlDXh6uJOEJGABoArKEm OJr2kZGLgJAQ5jYom2rg8nRPCzRVxnFfh4tq9eaPBRS6oMXBkxegM-izcCrfg4OvhLRXwlU59xVP5xAbTGZqB5g3OIbExYUW71inVJj4wiZSPo=&uniplatform=NZKPT&language=CHS.YIN Gaowen,SHEN Feifan,HUANG Sheng,et al.Dispatching method of combined wind-storage system for multi time scale scenarios application in electricity markets[J/OL]. Journal of Shanghai Jiaotong University:1-18[2023-05-30]. https：//kns. cnki. net/kcms2/article/abstract?v=PkrNiO65NLlDXh6uJOEJGABoArKEmOJr2kZGLgJAQ5jYom2rg8nRPCzRVxnFfh4tq9eaPBRS6oMXBkxegM-izcCrfg4OvhLRXwlU59xVP5xAbTGZqB5g3OIbExYUW71inVJj4wiZSPo=&uniplatform=NZKPT&language=CHS.
• [16]周明，武昭原，贺宜恒，等.兼顾中长期交易和风电参与的日前市场出清模型[J].中国科学：信息科学，2019,49(8):1050-1065.ZHOU Ming,WU Zhaoyuan,HE Yiheng,et al. A dayahead electricity market-clearing model considering medium-and long-term transactions and wind producer participation[J]. Scientia Sinica(Informationis),2019,49(8):1050-1065.
• [17]王小昂，邹鹏，任远，等.山西电力现货市场中长期与现货衔接问题及对策[J].电网技术，2022,46(1):20-27.WANG Xiaoang,ZOU Peng,REN Yuan,et al.Problems and solutions of medium&long-term trading connected with electricity spot market in Shanxi Province[J].Power System Technology,2022,46(1):20-27.
• [18]喻洁，刘云仁，杨家琪，等.美国加州辅助服务市场发展解析及其对我国电力市场的启示[J].电网技术，2019,43(8):2711-2717.YU Jie,LIU Yenren,YANG Jiaqi,et al.Analysis of development of california ancillary service market and its enlightenment to China’s power market[J].Power System Technology,2019,43(8):2711-2717.
• [19]阳光工匠论坛e光伏.两类储能方式对比：电化学储能vs机械储能[EB/OL].[2023-08-12].https：//mp.weixin.qq.com/s?__biz=MzI5ODA2MzMwNQ==&mid=2650498363&idx=1&sn=ca0bf4e12efadf7b7056ddbfd98756d8&chksm=f4a4419dc3d3c88bd74adb0a3ef4e1c4da3d8339bd5c635eae6eead3f01b72ef11aef42f79a0&token=470270218&lang=zh_CN#rd.
• [20]王荔妍，陈启鑫，何冠楠，等.考虑电池储能寿命模型的发电计划优化[J].电力系统自动化，2019,43(8):93-100.WANG Liyan,CHEN Qixin,HE Guannan,et al.Optimization of generation scheduling considering battery energy storage life model[J].Automation of Electric Power Systems,2019,43(8):93-100.
• [21] TANG Z,LIU Y K,WU L,et al.Reserve model of energy storage in day-ahead joint energy and reserve markets:a stochastic UC solution[J]. IEEE Transactions on Smart Grid,2021,12(1):372-382.