联合电力市场的交易决策模型包含频率/调节/储备
Hailing Zhao1, Weiqing Wang1, Xiaozhu Li2
1Engineering Research Center of Ministry of Education for Renewable Energy Generation and Grid Connection Technology, Xinjiang University, Ürümqi, 830047, Xinjiang, China.
Scientific reports
|March 15, 2025
概括
本研究介绍了纳什·斯塔克尔伯格 (Nash Stackelberg) 对前一天电力交易的游戏模型,其中包括频率,监管和储备服务. 它通过高度整合可再生能源,提高了电网灵活性和储能可行性.
科学领域:
- 能源经济学 能源经济学
- 游戏理论 游戏理论
- 可再生能源系统可再生能源系统
背景情况:
- 由于峰值剃须和频率调节能力不足,可再生能源透率的增加挑战了电网稳定性.
- 传统的电力市场模型难以解决整合多种能源和管理不确定性的复杂问题.
研究的目的:
- 为前一天的联合电力市场交易提出一个新的纳什·斯塔克尔伯格游戏交易决策模型.
- 使用Copula条件风险值 (CVaR) 来管理与可再生能源不确定性相关的风险.
- 在多层次的游戏框架内,优化监管成本和独立运营实体的利.
主要方法:
- 开发一个双层的纳什·斯塔克尔伯格游戏模型.
- 使用Copula-CVaR来量化不确定性下的收入损失风险.
- 考虑市场级别和多种电源类型之间的平衡要求.
主要成果:
- 该模型有效地解决了电网同步机不足的局限性,提高了电力市场的灵活性.
- 它克服了长期投资回报期和储能站低利用率的挑战.
- 使用来自中国西北一个可再生能源采集区的测量数据的验证证实了该模型的合理性和有效性.
结论:
- 拟议的交易决策模型在高可再生能源场景中提高了电力市场的灵活性和经济可行性.
- 它为管理风险和优化复杂能源市场运营提供了一个强大的框架.
- 该模型支持可再生能源和储能基础设施的可持续发展.
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