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Multi-reservoir optimization for hydropower production using NLP technique

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Title Multi-reservoir optimization for hydropower production using NLP technique
 
Creator JOTHIPRAKASH, V
ARUNKUMAR, R
 
Subject multi-reservoir
multi-hydropower plants
optimization
non-linear programming
simulation
reliability
POWER-FLOW LITERATURE
NONLINEAR OPTIMIZATION
MODEL
OPERATION
SYSTEMS
 
Description Deriving the optimal operational rules for a multi-reservoir system serving various purposes like irrigation, multiple hydropower plants and flood control are complex. In the present study, such a multi-reservoir system with multiple hydropower plants are optimized for maximizing the hydropower production and satisfying the irrigation demands using a Non-linear Programming (NLP) technique. The developed NLP model has been applied to Koyna Hydro-Electric Project (KHEP) for maximizing the hydropower production and solved for three different dependable inflow scenarios under various operating policies. The complexity of the problem is such that the power releases and irrigation releases are in opposite direction and are non-commensurate. The total annual power production, monthly power production and the end of the month storage plots are compared for different inflows and operating policies. From the study, it is found that hydropower production can be increased to a minimum of 22% by slightly relaxing the tribunal constraint on releases towards the western side. The optimal releases from Policy 3 are further evaluated using a simulation model. The simulation result shows that the optimal releases have performed satisfactorily over long period of operation.
 
Publisher KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
 
Date 2014-12-29T04:41:26Z
2014-12-29T04:41:26Z
2014
 
Type Article
 
Identifier KSCE JOURNAL OF CIVIL ENGINEERING, 18(1)344-354
1226-7988
1976-3808
http://dx.doi.org/10.1007/s12205-014-0352-2
http://dspace.library.iitb.ac.in/jspui/handle/100/17102
 
Language English