Abstract

Reservoir Optimization is a continuous optimization problem which is also called as NP-hard problem. Optimizing reservoir release is very much important to save water in reservoirs. The water should be optimally released in order to uniformly release the water all the times and for all purposes. The water release should also best satisfy the demand. In this paper, Deterministic optimization model was used which aims at minimizing release of water and also convincing the demand to the maximum extent. This model was used for framing release patterns for different inflow and demand scenarios. The release is based on the demand and release rules were framed based on Standard Operating Policy of reservoir system which includes storage, inflow and losses of the reservoir. Thomas-Fiering Stochastic Stream flow model was used for generating synthetic inflow to compare results with historic inflow. The real time data of Thirumurthi and Amaravathi reservoirs located in Udumalpet were used for implementing deterministic optimization technique.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.