EN考虑可再生能源配额的区域电力市场竞价行为推演
Bidding Behavior Evolution in Regional Electricity Markets Considering Renewable Energy Quotas
- 中国电力 2025年58卷第10期 页码：225-234
- 作者机构：
广州电力交易中心有限责任公司,广东,广州,510180
- 作者简介：
- 基金信息：广州电力交易中心科技项目（180000KC23080001）。
DOI：10.11930/j.issn.1004-9649.202505071
中图分类号：-
网络出版：2025-10-23，
纸质出版：2025
- 稿件说明：
移动端阅览
许喆, 陈晓东, 贾旭东, 陈紫颖. 考虑可再生能源配额的区域电力市场竞价行为推演[J]. 中国电力, 2025, 58(10): 225-234.
XU Zhe, CHEN Xiaodong, JIA Xudong, et al. Bidding Behavior Evolution in Regional Electricity Markets Considering Renewable Energy Quotas[J]. 2025, 58(10): 225-234.
许喆, 陈晓东, 贾旭东, 陈紫颖. 考虑可再生能源配额的区域电力市场竞价行为推演[J]. 中国电力, 2025, 58(10): 225-234. DOI： 10.11930/j.issn.1004-9649.202505071.
XU Zhe, CHEN Xiaodong, JIA Xudong, et al. Bidding Behavior Evolution in Regional Electricity Markets Considering Renewable Energy Quotas[J]. 2025, 58(10): 225-234. DOI： 10.11930/j.issn.1004-9649.202505071.
摘要
随着可再生能源渗透率持续提升及可调机组容量增加，其参与电力市场竞价交易正在逐步成为重要趋势。为深入分析区域电力市场中新能源发电商（renewable energy generators，REG）与传统发电商（conventional power generators，CPG）之间的竞争博弈行为，提出了一种多领导者-单跟随者（multiple leaders-one follower，MLOF）纳什-斯塔克尔伯格（nash-stackelberg，NS）博弈模型。上层基于绿证交易机制构建了新能源与传统发电商联合参与电能量及辅助服务市场的投标报价策略模型，下层为电力-备用-平衡联合市场出清模型，确定市场出清结果及价格信号。在此基础上，基于高效分布式算法对复杂博弈模型进行求解，以提升计算效率并保护各方数据隐私。仿真分析表明，所提模型能够有效提升新能源发电商的市场收益，增强其在多主体竞争中的博弈能力。
Abstract
With the continuous increase of the renewable energy penetration and the increment of the adjustable units capacity
it has been an important trend for them to participate the electricity market auction transaction. In order to deeply analyze the competitive game behavior between renewable energy generators (REG) and conventional power generators (CPG) in the regional electricity market
multiple leaders-one follower (MLOF) Nash-Stackelberg (NS) game model is proposed. The upper layer constructs a bidding strategy model for the joint participation of renewable and conventional power generators in the electricity energy and ancillary service market based on the green certificate trading mechanism. The lower layer is a joint market clearing model of electricity-reserve-
which determines the market clearing results and price signals. On this basis
an efficient distributed algorithm is carried out to solve the complex game model. So as to improve the computational and protect the data privacy of all parties. Simulation analysis shows that the proposed model can effectively improve the market returns of renewable energy generators
and enhance their game ability in multi-subject.
关键词
Keywords
references
1袁松, 葛昭, 唐佳杰, 等. 基于复合序电流特征的构网型新能源外送线路纵联保护[J]. 中国电力, 2025, 58 (8): 185- 192.
YUAN Song, GE Zhao, TANG Jiajie, et al. Longitudinal protection of grid-forming new energy outgoing lines based on composite sequence current characteristics[J]. Electric Power, 2025, 58 (8): 185- 192.
2谭洪, 王宇炜, 王秋杰, 等. 基于氢能固态运输的电-氢综合能源系统双层调度模型[J]. 电工技术学报, 2025, 40 (3): 744- 758.
TAN Hong, WANG Yuwei, WANG Qiujie, et al. A bi-level dispatching model for electricity-hydrogen integrated energy system based on hydrogen solidity transport[J]. Transactions of China Electrotechnical Society, 2025, 40 (3): 744- 758.
3周洋, 黄德志, 李培栋, 等. 考虑平衡端点相位不对称及光伏接入的低压配电网三相潮流模型[J]. 中国电力, 2024, 57 (10): 190- 198.
ZHOU Yang, HUANG Dezhi, LI Peidong, et al. A three-phase power flow model for low-voltage distribution networks considering balanced bus phase asymmetry and photovoltaic access[J]. Electric Power, 2024, 57 (10): 190- 198.
4李昌陵, 常喜强, 卢浩. 新疆能耗双控向碳排放双控转变分析和预测[J]. 发电技术, 2024, 45 (6): 1114- 1120.
LI Changling, CHANG Xiqiang, LU Hao. Analysis and forecast of the shift from double control of energy consumption to double control of carbon emissions in Xinjiang[J]. Power Generation Technology, 2024, 45 (6): 1114- 1120.
5李令宇, 程浩忠, 张衡, 等. 含高比例新能源电力系统的低碳电源规划方法[J]. 电测与仪表, 2025, 62 (7): 30- 37.
LI Lingyu, CHENG Haozhong, ZHANG Heng, et al. Low-carbon power planning method for power system with high proportion of renewable energy[J]. Electrical Measurement & Instrumentation, 2025, 62 (7): 30- 37.
6王尚斌, 苑丽伟, 方莹, 等. 计及新能源波动的分布式储能分层控制策略[J]. 山东电力技术, 2024, 51 (9): 74- 84.
WANG Shangbin, YUAN Liwei, FANG Ying et al. Distributed energy storage layered control strategy considering renewable energy fluctuations[J]. 山东电力技术, 2024, 51 (9): 74- 84.
7张文博, 秦文萍, 刘佳昕, 等. 绿证-电-碳耦合市场下计及需求响应与租赁共享储能的VPP鲁棒优化调度策略[J]. 综合智慧能源, 2025, 47 (5): 31- 40.
ZHANG Wenbo, QIN Wenping, LIU Jiaxin, et al. Robust optimization scheduling strategy for virtual power plants considering demand response and leasing shared energy storage under the green certificate-electricitycarbon coupled market[J]. Integrated Intelligent Energy, 2025, 47 (5): 31- 40.
8刘铠诚, 贾晓强, 何桂雄, 等. 计及虚拟储能的冷热电综合能源系统优化调度方法[J]. 浙江电力, 2024, 43 (12): 38- 48.
LIU Kaicheng, JIA Xiaoqiang, HE Guixiong, et al. An optimal scheduling method for IES considering virtual energy storage[J]. Zhejiang Electric Power, 2024, 43 (12): 38- 48.
9周忠玉, 孔小民, 郝沛, 等. 面向云储能差异化调控的有源配电网多区域分布式光伏高效消纳方法[J]. 湖南电力, 2024, 44 (3): 136- 144.
ZHOU Zhongyu, KONG Xiaomin, HAO Pei, et al. Efficient consumption methods of multi-area distributed photovoltaic energy for active distribution network with differentiated scheduling for cloud energy storage[J]. Hunan Electric Power, 2024, 44 (3): 136- 144.
10王林, 孔小民, 周忠玉, 等. 云储能模式下的配电网分布式光伏-储能无功优化方法[J]. 综合智慧能源, 2024, 46 (6): 44- 53.
WANG Lin, KONG Xiaomin, ZHOU Zhongyu, et al. Distributed photovoltaic-energy storage reactive power optimization method for distribution networks under cloud energy storage mode[J]. Integrated Intelligent Energy, 2024, 46 (6): 44- 53.
11黄邻熹, 刘继春, 刘阳. 与新能源互补和独立参加多级市场的抽蓄电站容量分配策略[J]. 电网技术, 2024, 48 (12): 4948- 4957.
HUANG Linxi, LIU Jichun, LIU Yang. Capacity allocation strategies for pumped storage plants that complement renewable energy sources and participate independently in the multi-level market[J]. Power System Technology, 2024, 48 (12): 4948- 4957.
12王晛, 张梓彦, 张少华, 等. 考虑新能源发电商租赁共享储能的电力市场博弈分析[J]. 电网技术, 2024, 48 (8): 3269- 3277.
WANG Xian, ZHANG Ziyan, ZHANG Shaohua, et al. Game analysis of electricity market with considerations of leasing-based energy storage sharing for renewable generators[J]. Power System Technology, 2024, 48 (8): 3269- 3277.
13翟哲, 陈梓煜, 刘起兴, 等. 计及风险管理的分布式资源聚合商电力市场交易模型[J]. 中国电力, 2025, 58 (6): 56- 66, 155.
ZHAI Zhe, CHEN Ziyu, LIU Qixing, et al. An electricity market trading model for distributed resource aggregators considering risk management[J]. Electric Power, 2025, 58 (6): 56- 66, 155.
14李维聪, 李贺延, 杨若冰. 基于智能电厂的电力交易市场竞价系统架构研究[J]. 内蒙古电力技术, 2024, 42 (5): 38- 43.
LI Weicong, LI Heyan, YANG Ruobing. Research on architecture of power market bidding system based on intelligent power plant[J]. Inner Mongolia Electric Power, 2024, 42 (5): 38- 43.
15王浩然, 冯天天, 崔茗莉, 等. 碳交易政策下绿氢交易市场与电力市场耦合效应分析[J]. 南方能源建设, 2023, 10 (3): 32- 46.
WANG Haoran, FENG Tiantian, CUI Mingli, et al. Analysis of coupling effect between green hydrogen trading market and electricity market under carbon trading policy[J]. Southern Energy Construction, 2023, 10 (3): 32- 46.
16张跃龙, 辛力, 赵建平, 等. 绿色电力交易体系及其在蒙西地区的建设实践[J]. 内蒙古电力技术, 2024, 42 (5): 3- 12.
ZHANG Yuelong, XIN Li, ZHAO Jianping, et al. Green power trading system and its construction practice in western area of Inner Mongolia[J]. Inner Mongolia Electric Power, 2024, 42 (5): 3- 12.
17曾垂辉, 李文正, 李宝伟, 等. 含多分布式能源聚合商的本地电力市场最优能源交易策略[J]. 中国电力, 2023, 56 (11): 236- 245.
ZENG Chuihui, LI Wenzheng, LI Baowei, et al. Optimal energy trading strategies for local electricity markets with multiple distributed energy resource aggregators[J]. Electric Power, 2023, 56 (11): 236- 245.
18ZANGENEH A, SHAYEGAN-RAD A, NAZARI F. Multi-leader–follower game theory for modelling interaction between virtual power plants and distribution company[J]. IET Generation, Transmission & Distribution, 2018, 12 (21): 5747- 5752.
19XIE D, LIU M B, XU L X, et al. Multiplayer Nash–Stackelberg game analysis of electricity markets with the participation of a distribution company[J]. IEEE Systems Journal, 2023, 17 (3): 3658- 3669. DOI
20CHEN X, DALL'ANESE E, ZHAO C H, et al. Aggregate power flexibility in unbalanced distribution systems[J]. IEEE Transactions on Smart Grid, 2020, 11 (1): 258- 269. DOI
21YE M J, HAN Q L, DING L, et al. Distributed Nash equilibrium seeking strategies under quantized communication[J]. IEEE/CAA Journal of Automatica Sinica, 2024, 11 (1): 103- 112. DOI
22ZHU Y N, YU W W, WEN G H, et al. Distributed Nash equilibrium seeking in an aggregative game on a directed graph[J]. IEEE Transactions on Automatic Control, 2021, 66 (6): 2746- 2753. DOI
23BELGIOIOSO G, GRAMMATICO S. Semi-decentralized generalized Nash equilibrium seeking in monotone aggregative games[J]. IEEE Transactions on Automatic Control, 2023, 68 (1): 140- 155. DOI
24张国良, 蔺红, 田易之. 电-碳-绿证市场耦合下的源-荷双层交互优化[J]. 电力系统保护与控制, 2025, 53 (5): 1- 10.
ZHANG Guoliang, LIN Hong, TIAN Yizhi. Optimization of source-load bilayer interaction in the coupling of electricity-carbon-green certificate markets[J]. Power System Protection and Control, 2025, 53 (5): 1- 10.
25王守文, 叶金根, 杨天萌, 等. 考虑富氧燃烧技术与绿证-碳配额等价交互的综合能源低碳经济调度[J]. 电网技术, 2025, 49 (2): 631- 641.
WANG Shouwen, YE Jingen, YANG Tianmeng, et al. Integrated energy low carbon economic dispatch considering oxyfuel technology and green certificates-carbon allowance equivalent interactions[J]. Power System Technology, 2025, 49 (2): 631- 641.
26黄伟, 陈炜, 吴军, 等. 基于功率平衡控制原理的双馈风电机组辅助调频方法[J]. 电力自动化设备, 2019, 39 (1): 66- 72.
HUANG Wei, CHEN Wei, WU Jun, et al. Auxiliary frequency modulation method of DFIG-based wind turbine based on principle of power balance control[J]. Electric Power Automation Equipment, 2019, 39 (1): 66- 72.
27张彦军, 宋明曙, 马晓磊. 面向智能电网信息安全与隐私保护的分布式经济调度算法研究[J]. 电测与仪表, 2025, 62 (1): 149- 157.
ZHANG Yanjun, SONG Mingshu, MA Xiaolei. Research on distributed economic dispatching algorithm for information security and privacy protection in smart grid[J]. Electrical Measurement & Instrumentation, 2025, 62 (1): 149- 157.
28叶清泉, 吴明启, 吴旭光, 等. 基于ADMM的多区域直流系统完全分布式最优潮流算法[J]. 浙江电力, 2024, 43 (2): 13- 24.
YE Qingquan, WU Mingqi, WU Xuguang, et al. A fully distributed optimal power flow algorithm for multi-regional DC systems based on ADMM[J]. Zhejiang Electric Power, 2024, 43 (2): 13- 24.
29黄馨仪, 刘明波, 林舜江, 等. 考虑风电不确定性的输配电系统鲁棒经济调度分布式算法[J]. 电力系统自动化, 2025, 49 (4): 165- 177.
HUANG Xinyi, LIU Mingbo, LIN Shunjiang, et al. Distributed algorithm for robust economic dispatch of integrated transmission and distribution system considering wind power uncertainty[J]. Automation of Electric Power Systems, 2025, 49 (4): 165- 177.
30BIANCHI M, BELGIOIOSO G, GRAMMATICO S. Fast generalized Nash equilibrium seeking under partial-decision information[J]. Automatica, 2022, 136, 110080. DOI
0
浏览量
0
下载量
0
CSCD
- Meta-XML下载
- BibTeX下载
- Endnote下载
- RefMan 下载
- NoteExpress下载
- NoteFirst下载
关联资源
相关文章
相关作者
相关机构
AI问答- 技术支持由北京北大方正电子有限公司提供 京ICP备09064830号-19
京公网安备11010802024621 - 本系统建议在Chrome、 IE9+ 以上版本浏览器阅读本站内容，360浏览器请切换至极速模式
- Cookies帮助我们提供服务并提供个性化体验。使用本网站，即表示您同意我们使用Cookies