基于主-奴隶游戏的公园光伏存储的协调多场景优化策略
Jiang Wang1,2, Jinchen Lan3, Lianhui Wang4
1Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China.
Sensors (Basel, Switzerland)
|August 10, 2024
概括
本研究优化了使用主-奴隶游戏模型的光伏 (PV) 存储系统. 该战略将公园运营商的利提高25.8%,并将用户成本降低5.27%,尽量减少能源削减.
科学领域:
- 可再生能源系统可再生能源系统
- 能源经济学 能源经济学
- 优化理论 优化理论
背景情况:
- 光伏 (PV) 系统在满足负载需求方面面临挑战,原因是间歇性和波动.
- 太阳能储能系统的高效运行对于经济可行性和减少能源削减至关重要.
- 集成能源存储系统 (ESS) 是稳定光伏输出和增强电网服务的关键.
研究的目的:
- 为光伏存储系统开发一个多场景的协作优化策略.
- 为了最大限度地提高公园运营商的利,同时最大限度地降低用户的电力成本.
- 提高光伏储存场的经济效率和可靠性.
主要方法:
- 实现一个主-奴隶游戏模型,以实现协作优化.
- 设计三个不同的ESS应用场景:光伏稳定,负载转移补偿和频率调节 (FR) 市场参与.
- 集成负载响应机制以减少缩小.
主要成果:
- 实现了公园经营者的经济效益增长25.8%.
- 用户电力支出减少了5.27%.
- 通过拟议的战略,显著降低了光伏能源的减少.
结论:
- 拟议的多场景协作优化战略有效地提高了光伏存储系统的经济性能.
- 主奴游戏模式为平衡运营商利和用户成本提供了一个强大的框架.
- 这种方法促进了可持续的发展和广泛采用光伏储存园.
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