双向电动汽车和需求响应对基于TOU定价的住宅分布式光伏容量规划的影响
Jinglong Chen1, Jing Qing2, Qiran Cai2
1School of Information Management, Wuhan University, Wuhan, 430072, China; Center for Studies of Information Resources, Wuhan University, Wuhan, 430072, China; Big Data Institute, Wuhan University, Wuhan, 430072, China.
Journal of environmental management
|March 24, 2024
概括
将电动汽车 (EV) 和需求响应 (DR) 集成到住宅分布式光伏 (RDPV) 系统中,可以显著降低最佳的RDPV容量和电力成本. 这种方法提高了RDPV系统的效率和经济可行性.
科学领域:
- 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.
- 能源管理 能源管理
背景情况:
- 住宅分布式光伏 (RDPV) 部署面临着间歇性,需求波动和越来越多的电动汽车 (EV) 采用等挑战.
- 电动汽车的储能和住宅需求响应 (DR) 为优化RDPV系统性能提供了机会.
- 整合这些技术对于在家庭中高效和成本效益地整合可再生能源至关重要.
研究的目的:
- 提出一个集成的RDPV容量规划模型,包括电动汽车充电,车辆到家 (V2H) 功能和灵活负载DR.
- 分析这些集成组件对最佳光伏安装能力,电力成本和自给自足/消费率的影响.
- 在各种场景下评估DR和V2H在缓解RDPV挑战方面的有效性.
主要方法:
- 开发一个集成的RDPV容量规划模型.
- 建立五个不同的场景来评估不同因素的影响.
- 使用三个典型的住宅电力需求模式的案例研究应用程序.
主要成果:
- 需求响应 (DR) 和车辆到家 (V2H) 显著降低所需的最佳光伏安装容量和整体电力成本.
- 当输入费率超过非高峰电价时,DR可以减少光伏自给自足,同时增加自我消费.
- 电动汽车充电和V2H对光伏自用消费有很小的影响,但电动汽车充电显著降低了自给自足,这一趋势被V2H恶化了.
结论:
- 在优化RDPV系统规划,降低成本和改善能源管理方面,DR和V2H的整合非常有效.
- 了解DR,V2H,电动汽车充电和RDPV之间的相互作用对于最大限度地利用住宅可再生能源系统的好处至关重要.
- 该研究为寻求提高RDPV集成效率和经济可行性的房屋所有者和电网运营商提供了宝贵的见解.
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