Grid integration of a PV system supporting an EV charging station using Salp Swarm Optimization

摘要: Abstract Integrating photovoltaic (PV)-based power systems with electric vehicle (EV) charging loads makes perfect sense due to the similarities between them in terms of form, interface, and locations. However, this integration involves a high level uncertainty, random nature solar generation EV charging, which requires careful control design optimization keep system stable. This paper presents an algorithm find best combination parameters voltage source inverter that integrates PV station through common grid-connected ac-bus. The controller are optimized using Salp Swarm Algorithm minimize fluctuation dc-bus balancing active power-flow injected harmonics grid. performance under different severe disturbances from both load sides is investigated compared optimum transfer functions particle swarm optimization. A hypothetical 2 ac for EVs modeled considering operating conditions utilized test along real-world irradiance profiles. proposed validated simulation processor-in-the-loop platforms. outcomes show able reduce by around 50%, total harmonic distortion 40% current 64% analytical-based design, compatible requirements defined IEEE 1547 international standard.