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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/6184

Title: Optimum sizing of wind-battery systems incorporating resource uncertainty
Authors: ROY, A
KEDARE, SB
BANDYOPADHYAY, S
Keywords: energy-conversion system
integrated diesel generator
water-heating systems
design-space approach
power-systems
performance assessment
size optimization
remote areas
storage
methodology
Issue Date: 2010
Publisher: ELSEVIER SCI LTD
Citation: APPLIED ENERGY, 87(8), 2712-2727
Abstract: The inherent uncertainty of the wind is a major impediment for successful implementation of wind based power generation technology A methodology has been proposed in this paper to incorporate wind speed uncertainty in sizing wind-battery system for isolated applications. The uncertainty associated with the wind speed is incorporated using chance constraint programming approach. For a pre-specified reliability requirement, a deterministic equivalent energy balance equation may be derived from the chance constraint that allows time series simulation of the entire system. This results in a generation of the entire set of feasible design options, satisfying different system level constraints, on a battery capacity vs. generator rating diagram, also known as the design space The proposed methodology highlights the tradeoffs between the wind turbine rating, rotor diameter and the battery size for a given reliability of power supply The optimum configuration is chosen on the basis of the minimum cost of energy (US$/kWh) It is shown with the help of illustrative examples that the proposed methodology is generic and flexible to incorporate alternate sub-component models (C) 2010 Elsevier Ltd .
URI: http://dx.doi.org/10.1016/j.apenergy.2010.03.027
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6184
http://hdl.handle.net/10054/6184
ISSN: 0306-2619
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