根据各种公用事业战略和消费者偏好,纳米电网的能源管理和需求侧管理框架
Youliana Bimen Elias1, Mariem Y Yousef2, Abdalla Mohamed2
1Electrical Power and Machines Engineering Department, Faculty of Engineering, Helwan University, Cairo, Egypt. youlianabimen@gmail.com.
Scientific reports
|October 29, 2024
概括
需求侧管理 (DSM) 和能源管理 (EM) 使用灵活的负载间隔将纳米电网成本优化高达25%. 这种方法提高了可再生能源的使用和电池寿命,降低了总体开支.
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
- 优化技术 优化技术
背景情况:
- 网联纳米网需要高效的能源管理,以平衡发电成本和供应可靠性.
- 需求侧管理 (DSM) 和能源管理 (EM) 对于优化纳米电网运营至关重要.
- 整合各种能源,如光伏 (PV),电池和柴油发电机,带来了独特的调度挑战.
研究的目的:
- 为网联纳米网开发一个前一天的日程安排框架.
- 为了优化发电成本,并尽量减少在电网中断期间未供应的能源.
- 评估不同负载灵活性水平和公用事业定价策略对降低成本的影响.
主要方法:
- 一个结合DSM和EM用于纳米电网调度的新框架.
- 引入灵活,非灵活和半灵活的负载间隔.
- 考虑固定利率定价 (FRP),使用时间 (ToU) 定价以及FRP与电网中断场景.
- 一种使用Moth-flame优化算法和拉格朗奇乘数的混合优化技术.
主要成果:
- 使用灵活间隔的DSM实现了21.02% (FRP),25.23% (ToU) 和18.15% (FRP与网断) 的成本降低.
- 在半灵活和非灵活的间隔中也观察到显著的成本降低.
- 拟议的方法导致可再生能源的充分利用和减少电池循环,提高电池寿命.
结论:
- 拟议的DSM和EM框架有效地降低了网联纳米网的运营成本.
- 负载灵活性,特别是灵活的间隔,大大有助于节省成本和提高系统效率.
- 混合优化技术被证明是有效的,并展示了电池设计优化和成本节约的潜力.
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