GA Application to Optimization of AGC in Two-Area Power System Using Battery Energy Storage

Author

Biswas, Santosh ; Bera, P.

Author_Institution

Dept. of Electr. Eng., Kalyani Gov. Eng. Coll., Kalyani, India

fYear

2012

fDate

28-29 Dec. 2012

Firstpage

341

Lastpage

344

Abstract

This paper deals with load frequency control of an interconnected reheat thermal system considering battery energy storage (BES) system. Area control error (ACE) is used for the control of power system with battery energy storage system. The controllers design problem is formulated as an optimization problem. The genetic algorithm (GA) is used to search for optimal settings of controller gains. Time domain simulations are used to study the performance of the power system and BES system. Results reveal that BES meets requirements of real power load and very effective in reducing the peak deviations of frequency and tie-power and also reduces the steady state values of time error.

Keywords

battery storage plants; frequency control; genetic algorithms; power system control; AGC optimization; BES system; GA application; area control error; battery energy storage; controller gains; frequency control; genetic algorithm; interconnected reheat thermal system; peak deviations; power load; steady state values; time error; two-area power system; Decision support systems; Intelligent systems; Automatic Generation control (AGC); Battery Energy Storage (BES); Genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on

Conference_Location

Kolkata

Print_ISBN

978-1-4673-4699-3

Type

conf

DOI

10.1109/CODIS.2012.6422208

Filename

6422208