Study of Stochastic Planning and Design of Multireservoir Systemsby M. C. Chaturvedi, Indian Inst of Technology, New Delhi, India,
P. K. Bhatia, Indian Inst of Technology, New Delhi, India,
Abstract: A new approach named Lumped to Discrete Programming (LDP) coupled with constrained stochastic optimization and successive approximation approach amongst reservoirs gives promise to subtantially reducing the operation time and offers explicit consideration of multidimensional multireservoir stochastic planning and design problem. The LDP starts with all the periods of operation year lumped into two or three intervals to be ultimately discretized in subsequent stages to actual number of operation periods. Multireservoir problem is handled by mutually adjusting releases/states among adjoining reservoirs. The new approach was applied to the planning of a real life complex system in India with four large reservoirs irrigating seven planning zones.
Subject Headings: Reservoirs | Stochastic processes | Computer programming | Approximation methods | Coupling | Developing countries | Lifeline systems | Irrigation | India | Asia
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