模拟和模拟分析多场景空调集群响应,用于分布网络中的智能负载管理
1Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid Connection, Xinjiang University, Urumqi, 830017, China.
Scientific reports
|May 14, 2025
概括
这项研究引入了空调 (AC) 负载的动态模型,考虑了人们的行为和天气. 它改善了交流负载预测,并支持智能电网能源管理.
科学领域:
- 能源系统工程 能源系统工程
- 建筑科学 建筑科学
- 智能电网技术 智能电网技术
背景情况:
- 精确的空调 (AC) 负载建模对于电网稳定性和能源管理至关重要.
- 现有的模型往往缺乏细粒度,以捕捉由乘客行为和环境因素影响的动态负载变化.
- 了解交流使用模式是优化能源分配和防止电网超负荷的关键.
研究的目的:
- 为空调 (AC) 集群负载开发一种动态的,多场景的建模方法.
- 将乘客行为,时空活动和气象数据整合到交流负载模型中.
- 建立一个精细的基线来评估AC对配电网络负载的影响.
主要方法:
- 开发了AC集群负载的动态建模框架.
- 嵌入了乘客行为模式和时空活动分布.
- 综合气象因素,并建立了一个精细的不受管制的负载基线.
- 在各种场景下进行模拟,以分析负载反应.
主要成果:
- 拟议的模型准确地捕捉了集群级动态交流负载响应.
- 模拟结果表明模型能够反映出乘客活动,温度和区域特征的相互作用.
- 精确的基线有效地隔离了交流使用对配电网络负载的影响.
结论:
- 动态多场景模型为交流负载分析提供了强大的工具.
- 这些发现提高了交流负载预测的准确性,并支持智能电网中的智能需求侧管理.
- 该研究为未来的负载调节策略和电网优化提供了宝贵的理论和实践见解.
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