Automatic generation control for a two area power system using backtracking search algorithm

In a large power system, the optimal control of the frequency and the active power is highly desired. For many practical purposes the required operation of the controllers in maintaining the healthy power system becomes a vital part. After performing power and frequency control within the permissibl...

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Bibliographic Details
Published in:	2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE) pp. 1 - 6
Main Authors:	Ragini, Kumar, Sudhanshu, Akash, Nath, Apurv, kumar Singh, Shivanshu, Awanish, Das, Pallav, Bhattacharya, Aniruddha
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-06-2015
Subjects:	Automatic generation control Backtracking search algorithm Frequency control Optimization PID controller Power system stability Sociology Statistics Thermal power system
Online Access:	Get full text
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Summary:	In a large power system, the optimal control of the frequency and the active power is highly desired. For many practical purposes the required operation of the controllers in maintaining the healthy power system becomes a vital part. After performing power and frequency control within the permissible limit, a better appreciation of the operation of power systems can be obtained. It is extremely necessary that the output of the machines at any instant will be exactly equal to the load plus transmission and distribution losses on the system. If the output is higher than the demand, the machines will tend to accelerate and the frequency will rise, and vice versa. Hence the frequency is not a constant quantity, but continuously varies. These variations are normally small and have no noticeable effect on most consumers. The frequency is continuously monitored against standard time-sources and when long-term tendencies to rise or fall of frequency is noticed, the control engineers take appropriate action to regulate the generators' outputs. A continuous time transfer function model of the system for studying dynamic response for small load disturbances is presented here. A proportional-integral-derivative (PID) controller based automatic generation control scheme is applied. There are different algorithms to find out the optimum parameters of a controller like Genetic algorithm, Particle swarm optimization (PSO), Backtracking search algorithm (BSA) etc. However, in this project work, BSA is employed to find optimum settings of PID controller constants for a two area power system network. Results obtained using BSA has been compared with those obtained using PSO.
DOI:	10.1109/EPETSG.2015.7510089