优化智能能源网络中的调度因子,使用基于云计算的计算资源
Zain Ul Abedin1, Li Jianbin2, Muhammad Siddique3
1School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, 102206, China.
本研究介绍了一个基于云的框架,用于优化能源调度,这对于将可再生能源集成到电网至关重要. 它通过使用机器学习和优化算法动态调整调度因子来增强电网管理.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 能源系统 能源系统
背景情况:
- 现代电网越来越多地整合了环保能源和先进的矩阵技术.
- 云计算为实时能源调度和电网管理提供计算能力和适应性.
研究的目的:
- 为基于云的负载管理技术提供一个全面的框架.
- 专注于调度因子作为能源调度决策的关键参数.
- 为了优化分布式能源资源的调度.
主要方法:
- 对于发电网的受约束优化目标函数的制定.
- 开发一种新的算法,用于在目标函数内评估参数值.
- 创建一个利用云计算平台资源管理的框架.
主要成果:
- 开发了一种有效的能源调度方法,集成机器学习,优化算法和实时数据分析.
- 拟议的方法动态调整调度因子,以改善能源分配.
- 在谷歌云平台上的实施证明了拟议方法的有效性.
结论:
- 该研究验证了拟议的基于云计算的方法论对优化能源调度的有效性.
- 该框架有助于在不断发展的电网中有效地整合和管理分布式资源.
- 调度因子的持续调整是先进电网运营的关键.
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