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电力改革背景下可再生能源侧的竞价策略
Bidding Strategy of Renewable Energy under the Background of New Electricity Market Reform

DOI: 10.12677/AEPE.2022.106015, PP. 113-123

Keywords: 可再生能源,出力特性,合作博弈
Renewable Energy
, Force Characteristic, Game of Cooperation

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Abstract:

随着我国电力市场改革的不断深入,发电侧市场竞争日趋激烈。可再生能源发电商作为发电企业参与市场竞价的交易主体之一,想要在激烈的市场竞争中取得优势,需要不断调整其竞价策略,才能使企业自身获得最大收益。本文在了解我国电力市场竞价特点及可再生能源出力特性的基础上,对开放电力市场背景下发电侧多群体的竞价策略进行比较分析。基于政府提出的碳排放配额与可再生能源证书(REC)交易机制,建立电力市场交易双层模型,在考虑寡头电力市场条件下,传统燃煤企业通过购买可再生能源证书并将其转化为碳排放配额,同时可再生能源出力与典型的电转气(power-to-gas, P2G)合作,以求进一步提高利润。
With the continuous deepening of power market reforms, competition in the power generation market has become increasingly fierce. Renewable energy generators, as one of the trading subjects of power generation enterprises participating in market bidding, need to constantly adjust their bidding strategies to obtain the advantage in the fierce market competition, in order to maximize their own profits. In this paper, based on understanding the bidding characteristics of electric power market and the output characteristics of renewable energy, comparative analysis of multi-group bidding strategies in the background of open electric power market is made. Based on the carbon emission quota and renewable energy certificate trading mechanism proposed by the government, a two-tier power market transaction model is established. Taking into account the oligopoly power market conditions, traditional coal-fired generation companies purchase renewable energy certificates and convert them into carbon emissions. At the same time, renewable energy output cooper-ates with typical power-to-gas (P2G) in order to increase more profits.

References

[1]  中华人民共和国国务院新闻办公室. 新时代的中国能源发展[N]. 人民日报, 2020-12-22.
[2]  钱锟. 智能电网中发电侧演化博弈竞价策略研究[D]: [硕士学位论文]. 南昌: 华东交通大学, 2018.
[3]  王辉, 陈波波, 赵文会, 廖昆. 碳交易协同的跨省区清洁能源电力交易多主体竞价博弈[J]. 电力建设, 2019, 40(6): 95-104.
[4]  王轶辰. 新能源大发展要过好“消纳关” [N]. 经济日报, 2021-01-31.
[5]  叶小宁, 李琼慧, 王彩霞. 完善市场化交易机制促进新能源消纳[N]. 国家电网报, 2021-02-09.
[6]  司荣国, 贾艳刚, 曹东, 刘海洋. 新能源消纳关键因素分析及解决措施研究[J]. 节能与环保, 2019(10): 86-87.
[7]  张军, 张伟, 曹凌捷, 王伊晓, 马喜平, 沈渭程, 梁有珍. 国内储能市场发展现状及趋势分析[J]. 电力与能源, 2020, 41(6): 739-743.
[8]  沈琛云, 王明俭, 李晓明. 基于风–光–蓄–火联合发电系统的多目标优化调度[J]. 电网与清洁能源, 2019, 35(11): 74-82.
[9]  Liu, Q., Sun, Y. and Wu, M. (2021) Decision-Making Methodologies in Offshore Wind Power Investments: A Review. Journal of Cleaner Production, 295, Article ID: 126459.
https://doi.org/10.1016/j.jclepro.2021.126459
[10]  Goteti, N.S., Hit-tinger, E., Sergi, B. and Lima Azevedo, I. (2021) How Does New Energy Storage Affect the Operation and Revenue of Existing Generation? Applied Energy, 285, Article ID: 116383.
https://doi.org/10.1016/j.apenergy.2020.116383
[11]  于超, 房芳. 基于目标优化的火电协助消纳风电的经济补偿模型[J]. 电力勘测设计, 2021(1): 67-71.
[12]  蔡振华, 李立雄. 考虑弃风成本和深度调峰成本的弃风临界值计算[J]. 湖南城市学院学报(自然科学版), 2021, 30(1): 65-69.
https://doi.org/10.3969/j.issn.1672-7304.2021.01.0013
[13]  陶悦川, 孙荣峰, 姜建国, 等. 基于博弈论的可再生能源证书交易双层优化模型[J]. 全球能源互联网, 2021, 4(1): 64-76.
https://doi.org/10.19705/j.cnki.issn2096-5125.2021.01.009
[14]  任鹤. 基于电力市场的寡头动态博弈模型建立及其混沌控制研究[D]: [硕士学位论文]. 沈阳: 沈阳大学, 2019.
[15]  张尧翔, 刘文颖, 李潇, 杨美颖, 周强, 汪宁渤. 高比例新能源接入电网光热发电–火电联合调峰优化控制方法[J]. 电力自动化设备, 2021, 41(4):1-7+32.
https://doi.org/10.16081/j.epae.202102012
[16]  武昭原, 周明, 王剑晓, 夏清, 李庚银. 激励火电提供灵活性的容量补偿机制设计[J]. 电力系统自动化, 2021,45(6): 43-51.

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