Optimum sizing of wind-battery systems incorporating resource uncertainty
DSpace at IIT Bombay
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Title |
Optimum sizing of wind-battery systems incorporating resource uncertainty
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Creator |
ROY, A
KEDARE, SB BANDYOPADHYAY, S |
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Subject |
energy-conversion system
integrated diesel generator water-heating systems design-space approach power-systems performance assessment size optimization remote areas storage methodology wind-battery system chance constrained programming sizing curve design space wind resource uncertainty |
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Description |
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 .
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Publisher |
ELSEVIER SCI LTD
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Date |
2011-07-22T09:43:28Z
2011-12-26T12:52:22Z 2011-12-27T05:36:37Z 2011-07-22T09:43:28Z 2011-12-26T12:52:22Z 2011-12-27T05:36:37Z 2010 |
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Type |
Article
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Identifier |
APPLIED ENERGY, 87(8), 2712-2727
0306-2619 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 |
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Language |
en
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