Active power loss minimization in the Santa Cruz and Baltra hybrid energy system using particle swarm optimization

Abstract

Appropriate operating conditions allow to take advantage of the resources more efficiently, in particular, in electrical systems whose thermal generator fleet may affect the ecosystem. Within this context, a Particle Swarm Optimization in DIgSILENT software is proposed to determine appropriate settings for the elements to control the reactive power. This algorithm reduce the active losses which implying a saving of fossil fuels on the Hybrid Santa Cruz and Baltra Island System (SHGEE) located in the Galápagos Islands whose grid is characterized by conventional generation like thermal power plants and unconventional generation such as wind, solar and battery energy storage systems to supply its demand.