1Ph.D Scholar, Electrical Engineering DepartmentNational Institute of Technology Hamirpur, HP, India-177005
2Professor, Electrical Engineering DepartmentNational Institute of Technology Hamirpur, HP, India-177005
3Associate Professor, Electrical Engineering DepartmentNational Institute of Technology Hamirpur, HP, India-177005
*E-mail: deepikayadav2008@gmail.com
**Email: rnaresh@nitham.ac.in
***Corresponding Author: E-mail ID: veenanaresh@gmail.com
Online published on 7 November, 2012.
Hydroelectric power is low cost, near-zero pollution emissions, and the ability to quickly respond to peak loads makes it a valuable energy source.Various objectives of hydro power projects that need to be met through hydro power plants include minimization of water deficits or maximization of hydropower production, revenue or profit. Moreover, various regulatory constraints on downstream releases has to be met that address environmental concerns. In this paper, estimation of energy for long term hydro power planning for Sewa Hydroelectric Project Stage-II has been done. For this, we took 18 years historical data of inflows. Out of this, 16 years data has been used for model building and 2 years of data has been used for model verification. Forecast for this River Sewa has been done with the help of Levenberg-Marquardt algorithm through nftool box of MATLAB 7.8 with good accuracy. Hydro power generation is a dynamic problem, where decision made today affects the future production decisions. In this study, the estimated energy/power calculation was carried out through these predicted inflows for long term hydro power planning.
Artificial neural network, Levenberg-Marquardt algorithm, Estimation of power/energy