Optimal tuning of temporary droop governor of hydro power plant using genetic algorithm

Author

Singh, Manish K. ; Naresh, R. ; Gupta, Deepak K.

Author_Institution

Dept. of Electr. Eng., NIT, Hamirpur, India

fYear

2013

fDate

10-12 April 2013

Firstpage

1132

Lastpage

1137

Abstract

A number of published works deals with governor tuning for speed control of hydro power plants. This paper investigates genetic algorithms as a means of finding optimum solution over a governor parameter. In actual, the genetic algorithm is applied to optimum tuning of a governor parameter for a hydro power plant. There is different type of governor controllers used in hydro power plant. Temporary droop governor controller was commonly used in hydro power plant. After illustration of temporary droop governor controller this paper is dedicated to introducing a genetic algorithm for giving an optimized value of governor parameter. Furthermore, the genetic algorithm gives the result of governor parameter for different load changes in hydro power plant.

Keywords

genetic algorithms; hydroelectric power stations; power generation control; tuning; velocity control; genetic algorithm; governor controllers; governor parameter tuning; hydropower plant; load change; speed control; temporary droop governor; Generators; Genetic algorithms; Hydraulic turbines; Logic gates; Mathematical model; Tuning; Genetic algorithm; Governor; Hydro power plant; Performance indices; Temporary droop;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on

Conference_Location

Nagercoil

Print_ISBN

978-1-4673-6149-1

Type

conf

DOI

10.1109/ICEETS.2013.6533545

Filename

6533545