论文标题
随机多周期最佳分配馈线中的能量存储
Stochastic multi-period optimal dispatch of energy storage in unbalanced distribution feeders
论文作者
论文摘要
本文介绍了凸，多周期，AC可行的最佳功率流（OPF）框架，该框架可稳健地在不平衡的分配馈线中派发灵活的需求侧资源，以防止非常短的时间表太阳能光电伏（PV）预测中的不确定性。这对于具有重要的幕后太阳能光伏生成的电力系统很有价值，因为其运行受需求和太阳能光伏生成的不确定性影响。然后，这项工作的目的是确保在高太阳能PV渗透率下分配系统操作的可行性和可靠性。我们开发并提出了一种新颖的，强大的OPF公式，该公式既说明非线性功率流约束和预测的不确定性。这是通过线性化最佳轨迹并使用一阶方法系统地拧紧电压边界来实现的。对现实分配馈线的案例研究显示了后水解实施的有效性。
This paper presents a convex, multi-period, AC-feasible Optimal Power Flow (OPF) framework that robustly dispatches flexible demand-side resources in unbalanced distribution feeders against uncertainty in very-short timescale solar Photo-Voltaic (PV) forecasts. This is valuable for power systems with significant behind-the-meter solar PV generation as their operation is affected by uncertainty from forecasts of demand and solar PV generation. The aim of this work is then to ensure the feasibility and reliability of distribution system operation under high solar PV penetration. We develop and present a novel, robust OPF formulation that accounts for both the nonlinear power flow constraints and the uncertainty in forecasts. This is achieved by linearizing an optimal trajectory and using first-order methods to systematically tighten voltage bounds. Case studies on a realistic distribution feeder shows the effectiveness of a receding-horizon implementation.
