智能微电网中的能源管理系统的实用原型,考虑到不确定性和能源盗窃
Mohammed A Saeed1,2, Bishoy E Sedhom3, Abdelrahman S Elbaghdadi1
1Electrical Engineering Department, Faculty of Engineering, Mansoura University, El-Mansoura, 35516, Egypt.
Scientific reports
|November 27, 2023
概括
本研究介绍了一种智能微电网能源管理系统,该系统可以检测电力盗窃,并使用需求响应和Al-Biruni地球半径优化算法将成本降低48.45%.
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:
- 传统的电网因依赖化石燃料和电力盗窃而受到影响.
- 智能微电网为提高电网效率和安全提供了解决方案.
研究的目的:
- 开发和验证一个智能微电网能源管理系统原型.
- 解决电力盗窃问题,并通过需求响应优化能源消耗.
主要方法:
- 实施智能微电网能源管理系统与SCADA监控.
- 使用使用时间定价和Al-Biruni地球半径 (BER) 优化算法来进行负载分配.
- 集成传感器和移动应用程序,用于用户交互和控制.
主要成果:
- 通过负载转移,电力开支减少了高达48.45%.
- 成功检测到能源盗窃,量化它在1199 W.
- 验证了BER优化算法的有效性,用于管理分散的发电和电池存储.
结论:
- 拟议的智能微电网系统有效降低成本,并打击电力盗窃.
- 阿尔-比鲁尼地球半径优化算法提高了能源管理效率.
- 该系统使消费者能够更好地控制能源使用.
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