Kurukuru V S Bharath, Haque Ahteshamul, Khan Mohammed Ali, Blaabjerg Frede
Advance Power Electronics Research Lab, Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India.
Department of Electrical Power Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Heliyon. 2021 Dec 20;7(12):e08609. doi: 10.1016/j.heliyon.2021.e08609. eCollection 2021 Dec.
The increasing penetration of photovoltaic (PV) power generation into the distribution grids has resulted in frequent reverse active power flows, rapid fluctuations in voltage magnitudes, and power loss. To overcome these challenges, this paper identifies the resource management of grid-connected PV systems with active and reactive power injection capabilities using smart inverters. This approach is aimed to minimize the voltage deviations and power losses in the grid-connected systems to accommodate the high penetration of PV systems. A kernel-based approach is proposed to learn policies and evaluate the reactive power injections with smart inverters for improving grid profile, minimizing power losses, and maintaining safe operating voltage limits. The proposed approach performs inverter coordination through nonlinear control policies using anticipated scenarios for load and generation. To assess the performance of the proposed approach, numerical simulations are performed with a single-phase grid-connected PV system connected to an IEEE bus system. The results show the effectiveness of the proposed approach in minimizing power losses and achieving a good voltage regulation.
光伏发电在配电网中的渗透率不断提高，导致频繁出现反向有功功率流动、电压幅值快速波动以及功率损耗。为克服这些挑战，本文利用智能逆变器确定了具有有功和无功功率注入能力的并网光伏系统的资源管理。该方法旨在使并网系统中的电压偏差和功率损耗最小化，以适应光伏系统的高渗透率。提出了一种基于内核的方法来学习策略并评估智能逆变器的无功功率注入，以改善电网状况、最小化功率损耗并维持安全运行电压极限。所提出的方法通过使用负载和发电的预期场景的非线性控制策略来执行逆变器协调。为评估所提出方法的性能，对连接到IEEE母线系统的单相并网光伏系统进行了数值模拟。结果表明所提出的方法在最小化功率损耗和实现良好电压调节方面是有效的。
