...
首页> 外文期刊>International journal of electrical power and energy systems >Supply function Nash equilibrium of joint day-ahead electricity markets and forward contracts
【24h】

Supply function Nash equilibrium of joint day-ahead electricity markets and forward contracts

机译:日前联合电力市场和远期合约的供给函数纳什均衡

获取原文
获取原文并翻译 | 示例
           

摘要

Forward contracts are one of the prevalent and useful tools for managing the risks associated with the volatility of the electricity market prices. Forward contracts and day-ahead electricity market are executed simultaneously, and hence, they affect each other. This paper proposes a comprehensive supply function equilibrium model to consider the mutual interactions between forward contracts and the associated day-ahead electricity market in a power system. Negotiation between each producer and consumer in forward market is taken into account in the model. In order to consider the risk management behaviors of all market players in the model, a new risk management method is presented. The proposed risk management method takes into account the concerns of market players about the future prices of day-ahead market over the delivery period. The model proposed in this paper is applied to a test system with forward and day-ahead markets. The results are compared with the case that there is no forward contract in the power system. Impacts of growing the concerns of producers and consumers about the future, impacts of increasing demand uncertainty, impacts of improving bargaining power of consumers in contracting period and impact of contracting obligations for producers on the simulation results are discussed. The proposed risk management method is compared with CVaR method and its efficiency is evaluated. Finally, applicability of the proposed model to real size power systems is examined.
机译:远期合同是管理与电力市场价格波动相关的风险的普遍且有用的工具之一。远期合同和日间电力市场是同时执行的,因此它们相互影响。本文提出了一个综合的供给函数均衡模型,以考虑远期合同与电力系统中相关的日前电力市场之间的相互影响。该模型考虑了远期市场中每个生产者和消费者之间的谈判。为了考虑模型中所有市场参与者的风险管理行为,提出了一种新的风险管理方法。拟议的风险管理方法考虑了市场参与者对交付期内日间市场的未来价格的担忧。本文提出的模型适用于具有远期和日前市场的测试系统。将结果与电力系统中没有远期合同的情况进行比较。讨论了生产者和消费者对未来日益增长的担忧的影响,需求不确定性增加的影响,合同期内消费者议价能力提高的影响以及对生产者的合同义务对模拟结果的影响。将所提出的风险管理方法与CVaR方法进行比较,并评估其效率。最后,检查了所提出的模型对实际电力系统的适用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号