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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17673
Title: Evolutionary algorithm based optimal scheduling of wind/diesel/battery based off grid system
Authors: Bansal M.
Saini, R. P.
Khatod, Dheeraj Kumar
Published in: Proceedings of 2012 IEEE 7th International Conference on Industrial and Information Systems, ICIIS 2012
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. © 2012 IEEE.
Citation: Proceedings of 2012 IEEE 7th International Conference on Industrial and Information Systems, ICIIS 2012, (2012). Chennai
URI: https://doi.org/10.1109/ICIInfS.2012.6304817
http://repository.iitr.ac.in/handle/123456789/17673
Issue Date: 2012
Keywords: evolutionary algorithm
modeling
optimization
wind-diesel-battery system
ISBN: 9.78E+12
Author Scopus IDs: 57198221767
7102325478
35217827300
Author Affiliations: Bansal, M., Alternate Hydro Energy Center, Indian Institute of Technology, Roorkee, India
Saini, R.P., Alternate Hydro Energy Center, Indian Institute of Technology, Roorkee, India
Khatod, D.K., Alternate Hydro Energy Center, Indian Institute of Techn
Corresponding Author: Bansal, M.; Alternate Hydro Energy Center, Indian Institute of Technology, Roorkee, India; email: moh.bansal@gmail.com
Appears in Collections:Conference Publications [EE]
Conference Publications [HRE]

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