Optimization of PID Controller for a Hybrid Power System using Particle Swarm Optimization Technique
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 framework utilizes PID controllers for controlling its yield. It has been finished by concentrate different mixes of diesel motor generator, wind turbine generator, water electrolyzer, energy unit 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.
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