AGC in an Interconnected Power System of Thermal Generating Unit through Evolutionary Technique

Ashish Dhamanda,A.K Bhardwaj

doi:10.19026/rjaset.13.2922

Abstract

This study presents to obtain the dynamic response of load frequency and corresponding tie-line power of an Automatic Generation Control (AGC) in four area interconnected thermal power system by using three different technique (Controller); One is Conventional (PI) technique, second is Intelligent(Fuzzy) technique and third is Evolutionary (GA for tuning of PID Controller) Technique. In this study Evolutionary technique are proposed for improving the performance of load frequency and tie-line power and their dynamic responses are compared with the conventional and intelligent controller’s responses. The results indicate that the proposed controller exhibit better performance and satisfy the automatic generation control requirements with a reasonable dynamic response. The performances of the controllers are simulated using MATLAB/SIMULINK software.

Highlights

Automatic Generation Control (AGC) is a very important issue in power system operation and control for supplying sufficient and reliable electric power with good quality
AGC with load following is treated as an ancillary service that is essential for maintaining the electrical system reliability at an adequate level (Roy et al, 2009) recent years, major changes have been introduced into the structure of electric power utilities all around the world
The performance of automatic generation control of four area thermal power system is investigated in this study

Summary

Introduction

Automatic Generation Control (AGC) is a very important issue in power system operation and control for supplying sufficient and reliable electric power with good quality. AGC with load following is treated as an ancillary service that is essential for maintaining the electrical system reliability at an adequate level (Roy et al, 2009) recent years, major changes have been introduced into the structure of electric power utilities all around the world. The successful operation in power system requires the matching of total generation with total load demand and associated system losses. As the demand deviates from its normal value with an unpredictable small amount, the operating point of power system changes and system may experience deviations in nominal system frequency which may yield undesirable effects (Prakash and Sinha, 2012a; Singh Parmar et al, 2011). A control strategy is needed to maintain constancy of frequency and tie-line power and achieves zero steady state error. The PI and fuzzy controllermployed to solve AGC problem and these controller gives the good response, reduces the oscillation and steady state error but the GA after tuning of PID controller gives the better result over the conventional and intelligent controller

Methods

Results

Conclusion