配电网络的协同优化操作 - - 包含基于多体游戏的共享能源存储多微电网
1School of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China.
Sensors (Basel, Switzerland)
|January 25, 2025
概括
本研究介绍了一种基于游戏的方法,用于共享能源存储的配电网络和微电网的协作调度,增强可再生能源的整合和降低成本. 该方法优化了能源储存,并改善了所有参与者的运营收入.
科学领域:
- 电气工程 电气工程
- 能源系统 能源系统
- 优化理论 优化理论
背景情况:
- 全球推动碳峰值和碳中和需要有效整合可再生能源.
- 配电网络和微电网的协调运行对于适应波动的可再生能源和确保电网稳定性至关重要.
研究的目的:
- 为配电网络和多微电网提出一种新的协作优化方法,其中包括共享能源存储.
- 根据碳减排目标,加强可再生能源的适应性和系统运行稳定性.
主要方法:
- 采用了两阶段的游戏理论方法,将系统建模为领导者-追随者游戏.
- 第一个阶段通过多目标优化优化共享能源存储配置.
- 第二阶段使用嵌套的遗传算法和解决器来确定最佳的能源交易价格和运营策略.
主要成果:
- 拟议的方法有效地确定电力购买和销售价格,最大限度地降低整个配电网络,微电网和共享能源存储的运营成本.
- 改进的沙普利价值法确保了公平的成本分配和利益分配.
- 实现了对所需的储能容量 (44.89%) 和功率限制 (37.23%) 的显著降低.
结论:
- 基于多体游戏理论的协作优化框架为将可再生能源整合到配电网络和微电网中提供了有效的解决方案.
- 该方法提高了经济效率,并促进了利益相关者之间公平的利益分享.
- 拟议的方法优化了共享能源存储的利用,从而大大节省了资源.
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