Efficient Placement of Distributed Generators and Electric Vehicle Charging Stations Using Meta-Heuristic Algorithm
摘要
Growing interest in environmental transportation strategies has resulted in a substantial rise in the adoption rate of Electric Vehicles (EVs) in the transportation industry. However, because of increased energy demand, their impact on the energy market can lead to lower voltage profiles, greater power losses, and voltage stability margins. The optimum locations for Distributed Generators (DGs) and Electric Vehicle Charging Stations (EVCSs) are crucial for mitigating the adverse impact of EV loads upon the Radial Distribution System (RDS). This chapter introduces an optimization method with multiple objectives to concurrently determine the placement and capacity of Distributed Generators (DGs) and Electric Vehicle Charging Stations (EVCSs). The main objective of this problem formulation is to reduce real power losses while maximizing the Voltage Stability Index (VSI) and minimizing the Average Voltage Deviation Index. Simulation demonstrations were conducted with the IEEE 33-bus system. To optimize the system objectives, the Teaching-Learning-Based Optimization (TLBO) algorithm is recommended. The simulation’s findings indicated that the recommended approach improved the overall system performance.