两阶段的多目标框架,以实现现代配电网络的最佳运行,同时考虑需求响应计划
Mohamed R Elshenawy1, Abdalla Mohamed2, A A Ali2
1Electrical Power and Machines Engineering Department, Faculty of Engineering, Helwan University, Cairo, Egypt. muhamedelshenawy@h-eng.helwan.edu.eg.
Scientific reports
|January 6, 2025
概括
本研究介绍了一种先进的能源管理框架,用于需求响应计划 (DRP) 的个人激励率. 这种方法显著减少了能源损失,发电成本和配电网络的排放.
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:
- 电网可靠性不足加剧了能源危机和环境问题.
- 先进的能源管理系统对于提高电网可靠性和效率至关重要.
- 需求侧管理,特别是需求响应计划 (DRP),提供了重要的技术和经济效益.
研究的目的:
- 提出一个新的两阶段框架,以多种发电资源的分布网络为多目标运行.
- 通过优化需求响应计划 (DRP) 以个人消费者激励来提高电网可靠性和效率.
- 为了解决能源损失,电压偏差,运营成本和排放,同时最大限度地提高电压稳定性.
主要方法:
- 一个两阶段的框架,将DRP与优化的个人激励率和最佳的权力共享整合在一起.
- 制定一个考虑能源损失,电压偏差,成本,排放和稳定性的多目标优化问题.
- 采用以理想解决方案 (TOPSIS) 和大象群群优化 (EHO) 技术相似的优先顺序技术.
主要成果:
- 提出的个人激励率DRP的框架优于普通激励率DRP.
- 实现了总能量损失减少38.13%.
- 总发电成本降低了9.468%,排放量减少了5.9%.
结论:
- 个人激励率 (DPR) 是分布网络的优越需求侧管理策略.
- 拟议的框架有效优化了多目标运营,提高了电网性能和可持续性.
- 这项研究为提高电网可靠性和减轻能源危机影响提供了可行的解决方案.
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