最佳分配分布式能源资源,以满足电动汽车的随机负载和低压配电网的自然干扰
Devender Kumar Saini1, Monika Yadav2, Nitai Pal3
1Electrical Cluster, School of Engineering, University of Petroleum & Energy Studies, Dehradun, India. dev.iit.roorkee@gmail.com.
Scientific reports
|July 24, 2024
概括
本研究提出了一种新的方法来规划和运行弹性电网,考虑电动汽车充电和自然灾害. 它确保了关键负载的电网稳定性,并在紧急情况下为电动汽车充电.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 整合可再生能源的整合
背景情况:
- 越来越多的不确定性和极端天气事件需要能够适应的关键基础设施.
- 可再生能源 (RES) 和电力运输系统 (ETS) 的整合为电网稳定带来了新的挑战.
- 现有的电力配电网需要提高弹性,以抵御中断.
研究的目的:
- 提出规划和运营弹性电力配电网的二维方法.
- 评估极端自然事件对电网基础设施的影响.
- 确保为关键负载和电动汽车 (EV) 充电提供可靠的电力供应.
主要方法:
- 考虑地理特征和通勤模式的电动汽车负载的随机建模.
- 使用损害状态分类对极端自然事件 (如地震) 的影响评估.
- 使用DigSILENT PowerFactory和基于Python的监督学习工具模拟城市印度配电网.
主要成果:
- 开发了EV负载的概率分布函数.
- 模拟了自然灾害对配电网的影响.
- 在模拟事件之前和之后,量化了24小时负载概况的变化.
结论:
- 拟议的方法有效地提高了电力配电网的弹性.
- 该方法为动态环境中的规划和运营策略提供了一个框架.
- 确保关键服务和新兴负载 (如电动汽车充电) 的电网可靠性.
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