Planning and operation of shunt capacitors using MOPSO and DP for large-scale PV penetration

In order to help combat climate change, Japan plans to introduce a large-scale photovoltaic (PV) power generation capacity. In this paper, we focus on reactive power in large-scale PV systems, first proposing a two-layered shunt capacitor (SC) scheduling method using multi-objective particle swarm optimization (MOPSO) and dynamic programming (DP). Using MOPSO, cost efficiency and reliability in power system planning and operation can be more accurately analyzed, while DP allows switching times to be assessed. To control reactive power flows caused by changing PV output, we then propose an effective static var compensator (SVC) control method, consider SC and transformer load tap charger (LTC) efficiencies, for use in situations in which PV outputs fluctuate sharply over short time intervals. Based on simulations run on a modified Ward-Hale 6-bus system to verify the validity of the proposed method, we confirm its capability to control power systems with a large-scale penetration over a normal voltage range.