Application of Genetic Algorithm based PSS for two - area AGC system in deregulated scenario

Author

Pradhan, Raseswari ; Panda, Sidhartha

Author_Institution

Dept. of EEE, Nat. Inst. of Sci.&Technol., Berhampur, India

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

1207

Lastpage

1212

Abstract

This paper proposes an approach for the design of multiple power system stabilizers (PSS) for multi-area automatic generation control (AGC) system with new deregulated scenario. Here, the concept of DISCO participation matrix (DPM) is also included. The analysis is conducted considering three pre-defined cases, out of which one is the violation of contract case. The optimal parameters of the PSS are obtained employing genetic algorithm (GA) using integral of time multiplied absolute value of the error (ITAE) error criteria. A two-area non reheat thermal system is considered to exemplify the optimum parameter search.

Keywords

genetic algorithms; heat systems; power generation control; power system stability; DISCO participation matrix; ITAE error criteria; deregulated scenario; genetic algorithm; integral of time multiplied absolute value of the error; multiarea automatic generation control; nonreheat thermal system; power system stabilizer; two-area AGC system; Algorithm design and analysis; Automatic generation control; Contracts; Frequency; Genetic algorithms; Power generation; Power system analysis computing; Power system control; Power system modeling; Power system simulation; DISCO participation matrix (DPM); automatic generation control (AGC); deregulation; genetic algorithm (GA); multi-area system; power system stabilizer (PSS);

fLanguage

English

Publisher

ieee

Conference_Titel

Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on

Conference_Location

Coimbatore

Print_ISBN

978-1-4244-5053-4

Type

conf

DOI

10.1109/NABIC.2009.5393789

Filename

5393789