Application of PID Controller for Load Frequency Control of a Hybrid Power System

Authors(2) :-Jag Pravesh, Pardeep Nain

In this paper, the Load Frequency Control issue in a Hybrid Power System (HPS) by implementing a novel Flower Pollination Algorithm (FPA) based Proportional-Integral-Derivative (PID) controller. LFC aims at constraining the system frequency and tie-line power deviations within prescribed limits thereby maintaining the system reliability and stability. An HPS consists of a Micro-Grid (MG) connected to the conventional power grid. An FPA based PID controller has been proposed to regulate the frequency and tie-line power dynamics. To demonstrate the effectiveness of the proposed controller its performance has been compared with the PI and I controllers. Simulation has been carried out using the MATLAB and SIMULINK environment. The simulation results clearly reveal the potential of the proposed controller over the other controllers. Also, the proposed controller has been tested subject to a Random Load Perturbation (RLP) and its simulation results when compared to the PI and I controllers are found to be superior.

Authors and Affiliations

Jag Pravesh
Electrical Engg., OITM Hisar, Haryana, India
Pardeep Nain
Electrical Engg., OITM Hisar, Haryana, India

Hybrid power system model, Load frequency control, Renewable energy sources, Flower Pollination Algorithm

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Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 178-184
Manuscript Number : IJSRSET184852
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Jag Pravesh, Pardeep Nain, " Application of PID Controller for Load Frequency Control of a Hybrid Power System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.178-184, May-June-2018. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET184852

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