Plant growth simulation algorithm for fuel cost minimization with emission limit and wind power

Author

Jadhav, H.T. ; Dalal, Yaman ; Bhandari, Harsh N. ; Roy, Ranjit

Author_Institution

Rajarambapu Inst. of Technol., Islampur, India

fYear

2012

fDate

18-25 May 2012

Firstpage

1075

Lastpage

1080

Abstract

This paper deals with scheduling of thermal generating units in wind integrated power system to meet the requirements of minimum emission. An emission due to thermal plants is considered as constraint while minimizing the overall cost of operation. The stochastic nature of wind power is characterized by weibull probability distribution function. The terms like overestimation and underestimation of available wind power are considered in present study to account for power imbalance due to wind power uncertainty. Plant growth simulated algorithm PGSA is used to solve cost function and is implemented as computer program. Two test systems are studied to demonstrate the effectiveness of proposed algorithm.

Keywords

Weibull distribution; minimisation; power generation economics; power generation scheduling; probability; thermal power stations; wind power plants; Weibull probability distribution function; cost function; emission limit; fuel cost minimization; plant growth simulation algorithm; stochastic nature; thermal generating unit scheduling; wind power uncertainty; Cost function; Fuels; Minimization; Wind farms; Wind power generation; Wind speed; Wind turbines; emission; plant growth simualted algorithm; weibull probability function; wind;

fLanguage

English

Publisher

ieee

Conference_Titel

Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on

Conference_Location

Venice

Print_ISBN

978-1-4577-1830-4

Type

conf

DOI

10.1109/EEEIC.2012.6221540

Filename

6221540