Water Resources Management

, Volume 14, Issue 6, pp 457–472

Multireservoir System Optimization using Fuzzy Mathematical Programming


DOI: 10.1023/A:1011117918943

Cite this article as:
Jairaj, P.G. & Vedula, S. Water Resources Management (2000) 14: 457. doi:10.1023/A:1011117918943


For a multireservoir system, where the number of reservoirs islarge, the conventional modelling by classical stochastic dynamicprogramming (SDP) presents difficulty, due to the curse ofdimensionality inherent in the model solution. It takes a longtime to obtain a steady state policy and also it requires largeamount of computer storage space, which form drawbacks inapplication. An attempt is made to explore the concept of fuzzysets to provide a viable alternative in this context. Theapplication of fuzzy set theory to water resources systems isillustrated through the formulation of a fuzzy mathematicalprogramming model to a multireservoir system with a number ofupstream parallel reservoirs, and one downstream reservoir. Thestudy is aimed to minimize the sum of deviations of the irrigationwithdrawals from their target demands, on a monthly basis, over ayear. Uncertainty in reservoir inflows is considered by treatingthem as fuzzy sets. The model considers deterministic irrigationdemands. The model is applied to a three reservoir system in theUpper Cauvery River basin, South India. The model clearlydemonstrates that, use of fuzzy linear programming inmultireservoir system optimization presents a potentialalternative to get the steady state solution with a lot lesseffort than classical stochastic dynamic programming.

fuzzy mathematical programming multireservoir system optimization steady state solution 

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  1. 1.Department of Civil EngineeringIndian Institute of ScienceBangaloreIndia
  2. 2.College of EngineeringDepartment of Civil EngineeringTrivandrumIndia
  3. 3.Department of Civil EngineeringIndianInstitute of ScienceBangaloreIndia