Optimization of PID Controller for a Hybrid Power System using Particle Swarm Optimization Technique
Keywords:
Hybrid power systems, particle swarm optimization, wind turbine generator (WTG), aqua electrolyzer (AE), fuel cell (FC), diesel engine generators (DEG).Abstract
With the advancement of technology, power demand is increasing day-by-day. Energy
deficiency problem and increasing petroleum/diesel cost has resulted in severe impacts to
many technical facts. Introduction of non- conventional energy sources such as wind and
photovoltaic energy, which is clean and copiously present in nature, can be possible
solutions to these problems. This paper presents optimization of a hybrid power system, with
one of swarm intelligent algorithms named as particle swarm optimization (PSO).The hybrid
system utilizes PID controllers for controlling its yield. It has been done by studying different
combinations of diesel engine generator, wind turbine generator, aqua electrolyzer, fuel cell
and battery. With the optimized system parameters, high quality power supply can be
delivered to the load and the frequency fluctuations can also be minimized.
