论文标题
具有智能PV逆变器的分销网络中的双层伏特/VAR优化
Bi-level Volt/VAR Optimization in Distribution Networks with Smart PV Inverters
论文作者
论文摘要
分销网络中的最佳伏特/VAR控制（VVC）依赖于常规公用事业机械设备与智能住宅光伏（PV）逆变器之间的有效协调。通常，中央控制器会定期优化，并将设定点发送到每个设备的本地控制器。但是，Smart PV逆变器可以在更快的时间范围内进行合作，以达到PV逆变器组的最佳性，而不是跟踪集中派遣的设定点。为了适应VVC体系结构中的此类PV逆变器组，本文提出了双层优化框架。高层确定机械设备的设定点，以最大程度地减少网络活动功率损耗，而下层则表示逆变器为自己的目标采取的协调动作。这两个级别之间的相互作用是在BI级优化中捕获的，该优化使用Karush-Kuhn-Tucker（KKT）条件解决。该框架充分利用了不同类型的电压调节设备的功能，并使它们能够合作优化其目标。具有现场录制数据的典型分配网络的案例研究证明了该方法的有效性和优势。
Optimal Volt/VAR control (VVC) in distribution networks relies on an effective coordination between the conventional utility-owned mechanical devices and the smart residential photovoltaic (PV) inverters. Typically, a central controller carries out a periodic optimization and sends setpoints to the local controller of each device. However, instead of tracking centrally dispatched setpoints, smart PV inverters can cooperate on a much faster timescale to reach optimality within a PV inverter group. To accommodate such PV inverter groups in the VVC architecture, this paper proposes a bi-level optimization framework. The upper-level determines the setpoints of the mechanical devices to minimize the network active power losses, while the lower-level represents the coordinated actions that the inverters take for their own objectives. The interactions between these two levels are captured in the bi-level optimization, which is solved using the Karush-Kuhn-Tucker (KKT) conditions. This framework fully exploits the capabilities of the different types of voltage regulation devices and enables them to cooperatively optimize their goals. Case studies on typical distribution networks with field-recorded data demonstrate the effectiveness and advantages of the proposed approach.
