Optimization of PID Controller for a Hybrid Power System Using Particle Swarm Optimization Technique

Existing Hybrid Power System

This segment depicts the basics of proposed hybrid power system. The generation subsystems comprise wind turbine generator, diesel engine generator, aqua electrolyzer and fuel cell. Aqua electrolyzer is utilized to change over the fluctuating intensity of wind turbine generator into hydrogen and give it as a fuel to fuel cell (Lee & Wang, 2008). In this way power loss due to wind fluctuation can be minimized and system can be fully utilized.

For controlling the output of each subsystem, PID controller is used and for optimizing the controller performance particle swarm optimization (PSO) is used. The feedback gain parameters () are also optimized using PSO to reduce the frequency and power deviations. A series of simulation has been carried out to prove its working for different combination of generation components.

Different cases are considered for simulation as shown in Table 1. For simulation all the subsystem is considered to be in first order

	Case I	Case II	Case III	Case IV
Diesel Generator	Ö	Ö	Ö	Ö
Fuel Cell	-	Ö	Ö	-
Aqua Electrolyzer	-	Ö	Ö	-
Battery	-	-	-	Ö
Wind Turbine	Ö	Ö		Ö