积极参与当地能源社区,进行点对点交易
1Institute of Energy Systems and Electrical Drives, Energy Economics Group (EEG), TU Wien, Vienna, 1040, Austria.
Open research Europe
|August 30, 2023
概括
本研究优化了能源社区的参与,使用双层优化,根据环境或经济偏好指导新成员的选择,以实现高效的点对点电力交易.
科学领域:
- 能源系统工程 能源系统工程
- 优化理论 优化理论
- 计算经济学 计算经济学
背景情况:
- 分散能源生产的扩散和支持的欧洲法规正在推动能源社区和当地电力市场的增长.
- 在这些社区内,点对点 (P2P) 电力交易变得越来越普遍.
研究的目的:
- 开发一个双层优化模型,以便在P2P电力交易中积极参与.
- 根据现有成员的偏好 (环境,经济或混合) 来确定加入能源社区的新参与者的最佳参数.
主要方法:
- 在P2P电力交易中应用了双级优化模型.
- 上层问题优化了新的参与者参数,以尽量减少成本和排放.
- 较低级别的问题是通过分配本地产生的光伏 (PV) 电力来最大限度地提高社区福利.
- 使用Karush-Kuhn-Tucker (KKT) 条件来解决双层问题.
主要成果:
- 面向环境的成员更喜欢具有高光伏容量和低需求的新参与者.
- 以利为导向的会员更喜欢有高需求且没有光伏产能的新参与者,从而创造收入机会.
- 支付意愿在潜在的新成员之间进行选择时显著影响社区决策.
结论:
- 拟议的方法为选择能源社区新成员提供了一个框架.
- 未来的研究将集中在优化能源社区在多年时间的视野.
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