同时分布式发电和电动汽车通过基于需求响应和Volt/VAR控制的协同层次的双层优化方法来提高容量
Zenhom M Zenhom1, Shady H E Abdel Aleem2, Essam Aboul Zahab3
1Electric Power Engineering Department, Ahram Canadian University, Giza, 12451, Egypt. eng.zenhom93@gmail.com.
Scientific reports
|February 14, 2025
概括
本研究引入了一个新的框架,以优化电动汽车 (EV) 和可再生分布式发电 (RDG) 的整合到电网中. 这种方法提高了电动汽车和研发发电机的托管能力,提高了电网稳定性和效率.
科学领域:
- 电气工程 电气工程
- 可持续能源系统 可持续能源系统
- 优化理论 优化理论
背景情况:
- 电动汽车 (EV) 和可再生分布式发电 (RDG) 的整合提供了可持续性好处,但对配电网络 (DN) 构成技术挑战.
- 对分布式发电容量 (DG-HC) 和电动汽车容量 (EV-HC) 的准确评估对于安全的DN运行至关重要.
- 现有研究在同时优化需求响应 (DR),智能逆变器 (SI) 伏特/VAR控制,DG-HC和EV-HC方面存在差距.
研究的目的:
- 提出一个分层的双层优化框架,以加强DNS中的DG-HC和EV-HC.
- 调查基于动态关税的DR和SIVolt/VAR控制对电网托管能力的综合影响.
- 分析电网连接电动汽车 (GCEV) 在不同收费方案下增加DG-HC的作用.
主要方法:
- 一个分层的双层优化框架,集成基于关税的动态DR和SIVolt/VAR控制.
- 下层:基于动态关税的客户负载曲线和电动汽车聚合器收费需求的最佳调整.
- 上层:DSO优化多目标函数,包括DG-HC,EV-HC最大化和损失最小化,使用平衡优化器 (EO).
主要成果:
- 拟议的框架显著增加了DG-HC和EV-HC,在考虑将EV集成到IEEE33总线系统中时,DG-HC增加了133%以上.
- 动态定价的DR计划改善了DG-EV-HC组合,DG-HC的约34%,EV-HC的27%.
- 协同的DR-Volt/VAR控制在IEEE 33总线系统中提高了DG-HC的约49.2%和EV-HC的约61.2%的联合DG-EV托管能力.
结论:
- 考虑到电动汽车充电需求对于准确的DG-HC评估至关重要.
- 动态DR程序和SI Volt/VAR控制是改善DNs托管能力的有效策略.
- 建议的优化框架使用EO解决,证明了测试系统的稳定性和有效性.
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