智能住宅需求侧管理的全面框架,包括电动汽车集成和先进的优化技术
Subhasis Panda1,2, Indu Sekhar Samanta3, Buddhadeva Sahoo4
1Department of Electrical Engineering, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India.
Scientific reports
|March 23, 2025
概括
电动汽车 (EV) 通过启用智能调度来提高经济效益和电网稳定性,从而提高住宅能源管理. 本研究提出了二元鱼优化算法 (BWOA),以优化住宅需求侧管理 (RDSM) 中的电动汽车集成.
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:
- 住宅部门越来越多地采用电动汽车 (EV),这为改善能源利用提供了机会.
- 有效的住宅需求侧管理 (RDSM) 对经济能源消耗,电网稳定性和可靠性至关重要,特别是在高峰负载期间.
- 电动汽车的双向充电和存储能力可以在RDSM策略中发挥作用.
研究的目的:
- 制定一个强大而高效的RDSM技术,以优化能源利用计划.
- 调查电动汽车对RDSM的多方面的影响,考虑各种操作模式和相互作用.
- 分析电动汽车与可再生能源 (RES) 和储能设备 (ESD) 的协同效应,以改善住宅能源管理 (REM).
主要方法:
- 开发了一个单一目标的优化公式,优先考虑经济能源利用.
- 二元鱼优化算法 (BWOA) 用于在RDSM中安排EV能量利用.
- 进行了模拟,分析电动汽车作为负载,存储设备以及双向运行中的作用,以及RES和ESD集成.
主要成果:
- 拟议的BWOA方法有效地安排了能源利用,证明了电动汽车对RDSM的重大影响.
- 分析显示了电动汽车作为可灵活负载,存储设备和可再生能源和EDS的支持组件的潜力.
- 消费者负载优先级已成功纳入能源管理框架.
结论:
- 电动汽车在通过优化调度来提高住宅能源管理 (REM) 中发挥着关键作用.
- 电动汽车与RES和ESD的整合提供了巨大的经济,环境和可靠性好处.
- 开发的RDSM技术,利用BWOA,为管理复杂的住宅能源系统提供了有效的解决方案.
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