Particle swarm optimization based maximum power point tracking for seawater battery application

Abstract

Sea water battery is proposed as a renewable energy source in Indonesia, since it is suitable alternative applied for an archipelago country. The salinity of sea water causes the power of seawater battery is going to be changed. Particle Swarm Optimization (PSO) is proposed for tracking the maximum power point of sea water battery. The result shows that PSO can track the maximum power point very well though the salinity changes every time. The average power output with the change of salinity is obtained as 2964 watt for 3 kW seawater battery design.