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

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

Sandeep Bhongade (Shri Govindram Seksaria Institute of Technology and Science, India), M. P. S. Chawla (Shri Govindram Seksaria Institute of Technology and Science, India) and Bhumika Sahu (Shri Govindram Seksaria Institute of Technology and Science, India)
Copyright: © 2020 |Pages: 23
DOI: 10.4018/978-1-7998-1659-1.ch016

Abstract

With the advancement of technology, power demand is increasing day-by-day. Energy deficiency problem and increasing petroleum/diesel cost have 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 chapter presents optimization of a Hybrid power system, with one of swarm intelligent algorithms named as particle swarm optimization (PSO). The hybrid system uses PID controllers for controlling its output. It has been done by studying various 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.
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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 (978-1-7998-1659-1.ch016.m01) 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

Table 1.
Simulation Conditions For each Case (Senjyu, Nakaji, Uezato & Funabashi, 2005)
Case ICase IICase IIICase IV
Diesel GeneratorÖÖÖÖ
Fuel Cell-ÖÖ-
Aqua Electrolyzer-ÖÖ-
Battery---Ö
Wind TurbineÖÖ978-1-7998-1659-1.ch016.m02Ö

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