考虑到车辆网络互动,区域电网的最佳调度
Yuanpeng Hua1, Shiqian Wang1, Yuanyuan Wang1
1Economic and Technical Research Institute of State Grid Henan Electric Power Company, Henan, China.
PloS one
|July 16, 2024
概括
无序的电动汽车充电威胁到电网的稳定性. 本研究介绍了一种区域电网优化调度方法,使用车辆与电网的互动,蒙特卡洛采样和价格激励来管理电动汽车的充电和放电,以提高电网稳定性和经济效率.
科学领域:
- 电力系统工程 电力系统工程
- 整合可再生能源的整合
- 智能电网是一种智能电网.
背景情况:
- 大型电动汽车 (EV) 的不受控制的充电对电力系统的稳定性和安全性构成重大风险.
- 现有的电网管理策略难以适应电动汽车充电需求的动态和经常不可预测的性质.
- 电动汽车的集成需要先进的调度方法来平衡电网负载并利用电动汽车的灵活性.
研究的目的:
- 开发一种包含车辆与电网相互作用的区域电网优化调度方法.
- 建立一个强大的电动汽车充电和放电行为模型,考虑用户和技术特征.
- 创建一个多目标优化框架,解决经济效率,新能源消耗和电网需求侧曲线的平滑.
主要方法:
- 开发了一个基于用户和车辆特征的电动汽车充电和放电行为模型.
- 使用蒙特卡洛抽样来定义电动汽车的调度潜力和限制.
- 制定了确定性和间隔多目标优化模型,使用NSGA-II和改进的NSGA-II算法来解决.
- 使用分析层次过程 (AHP) 选择最佳的调度方案.
主要成果:
- 拟议的方法有效地模拟了电动汽车的充电/放电行为,并量化了调度潜力.
- 与确定性模型相比,间隔多目标优化模型表现出优越的适应性,实用性和对不确定性的稳定性.
- 价格激励措施成功引导电动汽车用户采用最佳的充电和放电模式,提高电网灵活性.
结论:
- 开发的优化调度方法,考虑到车辆与电网的相互作用和不确定性,大大提高了区域电网的稳定性.
- 间隔多目标方法为管理电力网络中的电动汽车集成提供了更有弹性的解决方案.
- 这项研究为优化电动汽车参与电网服务,促进经济效益和可再生能源利用提供了实际框架.
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