Strategic Behaviors of Renewable Energy Generation Companies Participating in the Electricity and Carbon Coupled Markets Based on Non-Cooperative Game Theory

可再生能源 环境经济学 发电 博弈论 业务 产业组织 自然资源经济学 微观经济学 经济 工程类 功率(物理) 电气工程 物理 量子力学
作者
Peng Wang,Zixuan Guo,Shengyu Zhang,Lin Zhu,Liqi Yi,Xiaohua Song
标识
DOI:10.2139/ssrn.4735530
摘要

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Strategic Behaviors of Renewable Energy Generation Companies Participating in the Electricity and Carbon Coupled Markets Based on Non-Cooperative Game Theory 32 Pages Posted: 22 Feb 2024 See all articles by Peng WangPeng WangNorth China Electric Power UniversityZixuan Guoaffiliation not provided to SSRNShengyu Zhangaffiliation not provided to SSRNLin Zhuaffiliation not provided to SSRNLiqi YiNorth China Electric Power UniversityXiaohua SongNorth China Electric Power University Abstract Renewable energy (RE) in China can participate in electricity and carbon market trading, which can help recover the investment of RE. Thus, we propose a coupled market equilibrium model for non-cooperative game interactions among power generation companies (GenCos), considering the electricity and carbon markets. The proposed model is a bi-level model. The upper-level model considers non-cooperative game behavior driven by maximizing profits for GenCos. The lower-level model includes two stages of the electricity market: the day-ahead market and the real-time market; it implements joint clearing of energy and reserves, and continuous trading with competitive auctions in the carbon market based on the clearing results of the electricity market. Simulations are performed based on the actual data of the power system in a certain region of Guangdong Province, China. The results show that coupled electricity and carbon markets can effectively reduce market costs and carbon emissions, improve the society welfare and RE benefits. The uncertain increase in RE output and higher installed capacity reduce the total revenue of the RE in the coupled markets. The initial carbon quota decomposition optimization decision of the coal-fired GenCo and gradual reduction in the initial carbon quota will gradually increase the revenue of the RE. Keywords: Renewable energy generation company, electricity market, Carbon market, Non cooperative game, Strategic Behaviors Suggested Citation: Suggested Citation Wang, Peng and Guo, Zixuan and Zhang, Shengyu and Zhu, Lin and Yi, Liqi and Song, Xiaohua, Strategic Behaviors of Renewable Energy Generation Companies Participating in the Electricity and Carbon Coupled Markets Based on Non-Cooperative Game Theory. Available at SSRN: https://ssrn.com/abstract=4735530 Peng Wang (Contact Author) North China Electric Power University ( email ) School of Business Administration,NCEPUNo. 2 Beinong Road, Changqing DistrictBeijing, 102206China Zixuan Guo affiliation not provided to SSRN ( email ) No Address Available Shengyu Zhang affiliation not provided to SSRN ( email ) No Address Available Lin Zhu affiliation not provided to SSRN ( email ) No Address Available Liqi Yi North China Electric Power University ( email ) School of Business Administration,NCEPUNo. 2 Beinong Road, Changqing DistrictBeijing, 102206China Xiaohua Song North China Electric Power University ( email ) School of Business Administration,NCEPUNo. 2 Beinong Road, Changqing DistrictBeijing, 102206China Download This Paper Open PDF in Browser Do you have negative results from your research you’d like to share? Submit Negative Results Paper statistics Downloads 0 Abstract Views 9 41 References PlumX Metrics Related eJournals Energy Policy & Economics eJournal Follow Energy Policy & Economics eJournal Subscribe to this fee journal for more curated articles on this topic FOLLOWERS 158 PAPERS 10,269 Bioenergy & Other Renewable Energy eJournal Follow Bioenergy & Other Renewable Energy eJournal Subscribe to this fee journal for more curated articles on this topic FOLLOWERS 122 PAPERS 2,305 Feedback Feedback to SSRN Feedback (required) Email (required) Submit If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
研友完成签到,获得积分10
刚刚
刚刚
1秒前
srrrr发布了新的文献求助10
1秒前
斯文败类应助shimly0101xx采纳,获得10
1秒前
2秒前
无花果应助wst1988采纳,获得10
2秒前
小高同学发布了新的文献求助10
3秒前
JETSTREAM完成签到,获得积分10
3秒前
JusLovin发布了新的文献求助30
3秒前
陈cc发布了新的文献求助10
4秒前
缓慢乌冬面应助zhoushuai1a采纳,获得10
4秒前
4秒前
man完成签到 ,获得积分10
4秒前
hiimcwn发布了新的文献求助10
5秒前
zhl完成签到,获得积分10
5秒前
6秒前
缓慢的元正完成签到 ,获得积分20
7秒前
科研通AI5应助zdy采纳,获得10
7秒前
HYLynn完成签到 ,获得积分10
8秒前
8秒前
9秒前
Phucgialam完成签到,获得积分20
9秒前
DD完成签到,获得积分10
9秒前
追寻雨完成签到,获得积分10
9秒前
Xin发布了新的文献求助10
10秒前
搜集达人应助水分子很忙采纳,获得30
11秒前
11秒前
11秒前
吴彦祖完成签到,获得积分10
11秒前
刚好发布了新的文献求助10
11秒前
精明外套发布了新的文献求助10
12秒前
拼搏竺完成签到,获得积分10
13秒前
13秒前
科研通AI5应助安白采纳,获得10
13秒前
追寻雨发布了新的文献求助10
13秒前
zxm完成签到,获得积分10
13秒前
14秒前
14秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
Essentials of Performance Analysis in Sport 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3733849
求助须知:如何正确求助?哪些是违规求助? 3278067
关于积分的说明 10006761
捐赠科研通 2994206
什么是DOI,文献DOI怎么找? 1642969
邀请新用户注册赠送积分活动 780752
科研通“疑难数据库(出版商)”最低求助积分说明 749006