Title :
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
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;
Conference_Titel :
Industrial and Information Systems (ICIIS), 2012 7th IEEE International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-2603-2
DOI :
10.1109/ICIInfS.2012.6304817