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Application of an Interior-Point Algorithm For Optimization of a Large-Scale Reservoir System

Author

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  • Seyed Jamshid Mousavi
  • Kamran Shokrvand Moghaddam
  • Abbas Seifi

Abstract

Optimization of a multi-reservoir system operation is challenging due to the non-linearity, stochasticity, and dimensionality involved in such a problem. In this research, a long-term planning model is presented for optimizing the operation of Iranian Karoon-Dez reservoir system using an interior-point algorithm. The system is the largest multi-purpose reservoir system in Iran with hydropower generation, water supply, and environmental objectives. The focus is on resolving the dimensionality of this problem while considering hydropower generation and water supply objectives. The weighting and constraints methods of multi-objective programming are used to assess the trade-off between water supply and hydropower objectives so as to find noninferior solutions. The computational efficiency of the proposed approach is demonstrated using historical data taken from Karoon-Dez reservoir system. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Seyed Jamshid Mousavi & Kamran Shokrvand Moghaddam & Abbas Seifi, 2004. "Application of an Interior-Point Algorithm For Optimization of a Large-Scale Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(6), pages 519-540, December.
    • Handle: RePEc:spr:waterr:v:18:y:2004:i:6:p:519-540
    DOI: 10.1007/s11269-004-1075-9
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