为配送网络采用两阶段的SCUC模型,考虑不确定性和需求响应
Fei Wang1, Lei Gan2, Pengchao Zhang3
1State Grid Hubei Jingmen Power Supply Company, Jingmen 448000, China.
Heliyon
|October 9, 2023
概括
这项研究优化了实时定价,以管理需求响应 (DR),降低成本并改善风力发电和组件故障不确定性中的电网稳定性. 该方法增强了峰值负载转移和谷谷填充能力.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 优化优化 优化优化
背景情况:
- 需求响应 (DR) 对电网可靠性至关重要,特别是在间歇性可再生能源 (如风力发电) 和潜在组件故障等方面.
- 现有的方法往往难以充分解决风能发电和电力系统组件中断的联合不确定性.
- 优化实时定价是激励灵活电力消费和加强电网管理的关键策略.
研究的目的:
- 开发一个强大的两级安全受约束单元承诺 (SCUC) 模型,将风力发电输出和组件故障的不确定性纳入其中.
- 设计一个有效的实时定价机制,间接影响需求响应 (DR) 行为.
- 为了降低整体运营成本,提高电力系统的峰值负载转移和谷谷填充能力.
主要方法:
- 使用自组织地图 (SOM) 建模风力发电不确定性.
- 模拟电力系统组件故障使用蒙特卡洛方法.
- 开发一个实时定价方案,以鼓励用户参与DR.
- 使用海洋捕食者算法 (MPA) 来优化SCUC模型.
主要成果:
- 拟议的SCUC模型有效地管理风力发电和组件故障的不确定性.
- 优化的实时定价策略成功刺激了用户的电力消费行为.
- 在IEEE-RTS系统上的模拟显示,总运营成本减少了10%.
- 观察到峰值负载转移和谷谷填充的显著改善.
结论:
- SCUC,不确定性建模和优化定价的综合方法为增强电力系统运行提供了可行的解决方案.
- 该研究证实了DR的有效性,通过实时定价来刺激DR,提高了电网稳定性和经济效率.
- 拟议的方法为电力运营商提供了一个实际的框架,以应对可再生能源整合和系统可靠性问题所带来的运营挑战.
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