Evolutionary algorithm based optimal scheduling of wind/diesel/battery based off grid system

Author

Bansal, Mohit ; Saini, R.P. ; Khatod, D.K.

Author_Institution

Alternate Hydro Energy Center, Indian Inst. of Technol., Roorkee, India

fYear

2012

fDate

6-9 Aug. 2012

Firstpage

1

Lastpage

6

Abstract

With the advent of renewable technologies in the power market, it is of keen interest of researchers to utilize these technologies in the most optimum manner. Nowadays, the emphasis is on the integrated utilization of these resources to minimize the cost and maximize the profit. In this paper, an optimal daily scheduling approach for a wind-diesel system with battery storage has been presented. A mathematical model has been developed with the objective of maximizing profit. The problem has been optimized using Evolutionary Programming technique. This model is then tested on a test system and in order to obtain results MATLAB codes have been developed.

Keywords

battery storage plants; diesel-electric power stations; evolutionary computation; power generation economics; power generation scheduling; power markets; wind power plants; Matlab codes; evolutionary algorithm; evolutionary programming technique; optimal daily scheduling approach; power market; renewable technology; wind-diesel-battery based off grid system; Batteries; Generators; Hybrid power systems; Mathematical model; Renewable energy resources; Sociology; Statistics; evolutionary algorithm; modeling; optimization; wind-diesel-battery system;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems (ICIIS), 2012 7th IEEE International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-2603-2

Type

conf

DOI

10.1109/ICIInfS.2012.6304817

Filename

6304817