多智能家居微电网的合作随机能源管理与现代配电网络的联合
Hossein Shayeghi1, Babak Mohamadi2, Abdollah Younesi2
1Energy Management Research Center, University of Mohaghegh Ardabili, Ardabil, Iran. hshayeghi@gmail.com.
Scientific reports
|January 6, 2026
概括
本研究提出了智能家居微电网和配电网络的优化技术,将运营成本和峰值负载降低高达44%,同时保持用户舒适性. 该框架提高了电网性能和用户满意度.
科学领域:
- 电气工程 电气工程
- 能源系统 能源系统
- 优化理论 优化理论
背景情况:
- 智能家居协调微电网 (SHMG) 是电力分发网络 (PDN) 内的分散能源集群.
- 整合分布式能源 (DER) 和电动汽车 (EV) 在能源管理方面存在挑战,原因是可再生能源发电,市场价格和需求响应 (DR) 时间表的不确定性.
- 优化SHMG和PDN运营对于降低成本和稳定电网至关重要.
研究的目的:
- 建议与PDNs协调的SHMGs能源系统的优化技术.
- 为了制定一个随机的能源管理问题,考虑到不确定性.
- 为了降低运营成本和峰值与平均比率 (PAR),同时保持用户舒适度 (UCL).
主要方法:
- 为SHMG和PDN开发了一个统一的调度方案.
- 制定了一个随机能源管理问题.
- 采用多目标猎优化 (MOCO) 算法来优化资源,电动汽车和智能家居设备的生成和启动时间表.
主要成果:
- 需求响应计划在两个案例研究中将峰值负载降低了36-44%.
- 峰值与平均值的比率 (PAR) 保持在可以容忍的范围内.
- 用户舒适度 (UCL) 保持在60%以上,网络损失和电压概况有所改善.
结论:
- 拟议的SHMG-PDN调度框架显示了高效率和最佳性能.
- 这项研究支持在不确定性条件下共同调度的正式优化模型的开发.
- 这种方法可以提高智能电网的技术性能和用户满意度.
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