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批发电力市场的最佳需求响应聚合:对多面体,圆形和盒式方法进行比较分析,用于模拟不确定性
Sayyad Nojavan1, Mehrdad Tarafdar Hagh2, Kamran Taghizad-Tavana2
1Department of Electrical Engineering, University of Bonab, Bonab, Iran.
Heliyon
|May 31, 2024
概括
需求响应聚合器可以使用基于价格的自我调度模型优化批发电力市场参与. 多面体强大的优化方法最好处理不确定性,最大限度地减少聚合器的回报偏差.
科学领域:
- 电气工程 电气工程
- 运营研究 运营研究
- 能源系统 能源系统
背景情况:
- 需求响应聚合器 (DRA) 通过管理灵活的负载,在电力市场中发挥着至关重要的作用.
- 将DRA整合到批发市场需要强大的框架来处理市场的不确定性,并最大限度地提高参与者的利益.
研究的目的:
- 为参与前一天电力市场的需求响应聚合器制定最佳框架.
- 提出和评估用于建模聚合器操作中的不确定性强大的优化方法.
主要方法:
- 一个基于价格的自我调度模型被开发出来,以最大限度地提高聚合者的回报.
- 三种强大的优化技术 (盒子,多面体,体) 用于不确定性建模.
- 拟议的模型在样本需求响应聚合器上实施和测试.
主要成果:
- 多面体方法在处理不确定性方面表现优异,与不确定性案例相比,客观函数值的偏差仅为22.72%.
- 盒式和圆形方法显示出明显更高的偏差 (分别为118.48%和49.20%).
- 基于价格的自我调度模型在各种不确定性场景下有效地最大化了聚合者的回报.
结论:
- 多面体强大优化方法对于在不确定的电力市场中运营的需求响应聚合器非常有效.
- 拟议的框架通过优化负载管理策略来提高聚合商的利能力和市场参与度.
- 能够降低负载的灵活合约是成功需求响应聚合的关键组成部分.
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