风能集成微电网的前一天经济调度,使用协调储能和混合需求响应策略
Qinglin Meng1, Ying He2, Sheharyar Hussain3
1Green Power Research Institute, Tianjin Renai College, Tianjin, 301636, China. qinglin.meng@ieee.org.
Scientific reports
|July 22, 2025
概括
使用风力发电,储能和需求响应 (DR) 的优化微电网调度大大降低了成本,并促进了可再生能源的使用. 这种综合方法通过有效管理峰值负载,提高了电网稳定性和用户舒适性.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 智能电网是一种智能电网.
背景情况:
- 微电网面临的挑战是整合间歇性可再生能源,如风力发电.
- 实时电网定价动态需要先进的调度策略.
- 需求响应 (DR) 和储能对于电网灵活性至关重要.
研究的目的:
- 为风能集成微电网开发一个优化的前一天经济调度框架.
- 评估整合储能系统和混合式 DR 战略的影响.
- 分析五种运行场景,从传统的调度到完全整合风力,储存和 DR.
主要方法:
- 一个两阶段的需求响应机制,结合了基于激励的调整和价格弹性建模.
- 在不同场景中对运营成本,可再生能源利用,负载概况和用户舒适度进行比较分析.
- 通过实例研究证明实际应用和成本效益的验证.
主要成果:
- 完全集成的战略 (风力,储存,DR) 实现了23.4%的运营成本降低.
- 综合方法实现了超过88%的可再生能源利用率.
- 观察到负载峰值的显著平坦化和用户舒适度超过90%.
结论:
- 风力发电,电池存储和自适应性DR的协同协调对微电网经济调度非常有效.
- 这种综合框架提高了电网稳定性,优化了可再生能源的利用,并保持了用户的满意度.
- 拟议的模型为微电网管理提供了一种实用且具有成本效益的解决方案.
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