强大的建模和基于证据的评估方法,以电动汽车和热电站为主动配送网络
Kuineng Chen1,2, Jingheng Yuan3, Zikang Fang4
1Hunan Engineering Research Center of Special Robot Control Technology and Equipment in Complex Environment, Xiangtan, China.
Scientific reports
|November 21, 2025
概括
本研究介绍了电网的三阶段优化模型,将电动汽车 (EV) 和需求响应集成在一起,以管理可再生能源的不确定性并降低运营成本,以实现更可靠的主动配电网络 (ADN).
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:
- 在电网中增加可再生能源需要管理输出预测错误.
- 电动汽车 (EV) 和需求响应 (DR) 为电网稳定提供了潜在的解决方案.
- 活跃分发网络 (ADN) 需要强大的运营策略来适应变化.
研究的目的:
- 为面对可再生能源不确定性的配电网络开发一个强大的优化模型.
- 减少可再生能源预测错误对电网运营的影响.
- 提高ADNS的可再生能源消耗和运行可靠性.
主要方法:
- 一个三个阶段的强大的优化框架:前一天,当天和实时.
- 前一天阶段:基于价格的DR用于负载转移和成本最小化.
- 一天内阶段:电动汽车充电/放电和滚动优化与更新的预测.
- 实时阶段:基于激励的DR,以平滑波动并确保稳定性.
- 在IEEE 33总线测试系统上进行的模拟.
主要成果:
- 拟议的三阶段战略大大提高了可再生能源的消耗.
- 通过优化负载转移和电动汽车集成,可降低运营成本.
- 电网可靠性和电压稳定性得到改善,证明了可再生能源输出变化的有效管理.
结论:
- 三阶段合作运营战略有效地解决了分布网络中可再生能源的不确定性.
- 电动汽车和需求响应的整合对于最大限度地利用可再生能源和电网稳定性至关重要.
- 该模型为运行具有高可再生能源透率的活跃配电网络提供了可靠的框架.
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