Open AccessGeneration‐based automatic generation control with multisources power system using bacterial foraging algorithm
Author(s) -
Hakimuddin Nizamuddin,
Nasiruddin Ibraheem,
Bhatti Terlochan Singh
Publication year - 2020
Publication title -
engineering reports
Language(s) - English
Resource type - Journals
ISSN - 2577-8196
DOI - 10.1002/eng2.12191
Subject(s) - automatic generation control , control theory (sociology) , pid controller , controller (irrigation) , electricity generation , electric power system , power (physics) , schedule , constant (computer programming) , control engineering , automatic frequency control , foraging , power control , computer science , engineering , control (management) , temperature control , electrical engineering , agronomy , physics , quantum mechanics , artificial intelligence , biology , programming language , operating system , ecology
Abstract This article presents an application of bacterial foraging algorithm (BFA) for design and implementation of generation‐based PID structured automatic generation control (AGC) in a 2‐area multisources power system with hydro, thermal, and gas power plants incorporated in each area. Most of AGC studies carried out so far have considered the initial system loading to be equal to 50% of the area generation capacity. But, AGC controller parameters are uncertain due to stochastic nature of power demand of the end users. Hence, in this article, the design of AGC controller is proposed on the basis of generation schedule by incorporating changes in power system gain constant, power system time constant, frequency bias constant, and so on. The dynamic responses of power system with BFA tuned AGC controller are compared with the genetic algorithm tuned AGC controller. The parameters of the controllers are evaluated by using these techniques and investigations are carried out to find the best performance of the system. Therefore, it is desirable to find the parameters of the generation‐based controller depending upon the contribution of its constituent hydro, thermal, and gas energy sources in the total power generation.