Particle swarm optimisation for reactive power and voltage control with grid-integrated wind farms

This paper seeks to apply particle swarm optimisation (PSO) to solve the reactive power and voltage control (RPVC) problem in power systems, considering wind farms (WFs) as one of the power generation sources. PSO is a stochastic optimisation strategy from the family of evolutionary algorithms. WFs and other sources of intermittent generation can complicate the RPVC problem due to additional physical and economic constraints. With the recent significant increase of renewable energy sources contributing to the power generation mix, efficient online optimisation techniques are required to ensure the successful integration of such sources. Additionally, the performance of different WF models within these optimisation algorithms is assessed.