Optimal location of FACTS devices with EVCS in power system network using PSO

Abstract

The appeal of Electric Vehicles (EVs) is steadily growing, driven by the numerous advantages they offer to both owners and the environment. However, this surge in EV adoption places an increasing demand on the power system network for electric charging. The consequential strain on the power system may lead to instability and potential contingencies within the network. To mitigate these challenges, this paper recommends the installation of Flexible AC Transmission System (FACTS) devices. Specifically, two types of FACTS devices, Static Var Compensator (SVC) and Thyristor-Controlled Series Capacitor (TCSC), are employed to enhance the stability and loading conditions of the power system network. The study focuses on an IEEE 39 bus system network chosen for the installation of Electric Vehicle Charging Stations (EVCS). The objective is to assess the maximum loading factor of each bus within the network. This paper introduces a methodology for determining the optimal locations for both EVCS and FACTS devices. Notably, a Particle Swarm Optimization (PSO) algorithm is employed to optimize the size of FACTS devices and associated installation costs, ensuring an efficient and cost-effective enhancement to the power system's stability and loading conditions.