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Optimal Operation of the Ubolratana Reservoir Using Stochastic Dynamic Programming

Optimal Operation of the Ubolratana Reservoir Using Stochastic Dynamic Programming PDF Author: Khin Hla Khin
Publisher:
ISBN:
Category :
Languages : en
Pages : 174

Book Description


Optimal Operation of the Ubolratana Reservoir Using Stochastic Dynamic Programming

Optimal Operation of the Ubolratana Reservoir Using Stochastic Dynamic Programming PDF Author: Khin Hla Khin
Publisher:
ISBN:
Category :
Languages : en
Pages : 174

Book Description


Dynamic Programming Based Operation of Reservoirs

Dynamic Programming Based Operation of Reservoirs PDF Author: K. D. W. Nandalal
Publisher: Cambridge University Press
ISBN: 1139464957
Category : Science
Languages : en
Pages : 125

Book Description
Dynamic programming is a method of solving multi-stage problems in which decisions at one stage become the conditions governing the succeeding stages. It can be applied to the management of water reservoirs, allowing them to be operated more efficiently. This is one of the few books dedicated solely to dynamic programming techniques used in reservoir management. It presents the applicability of these techniques and their limits on the operational analysis of reservoir systems. The dynamic programming models presented in this book have been applied to reservoir systems all over the world, helping the reader to appreciate the applicability and limits of these models. The book also includes a model for the operation of a reservoir during an emergency situation. This volume will be a valuable reference to researchers in hydrology, water resources and engineering, as well as professionals in reservoir management.

A Stochastic Dynamic Programming Approach for Optimal Operation of the Qar'awn Reservoir

A Stochastic Dynamic Programming Approach for Optimal Operation of the Qar'awn Reservoir PDF Author: Hadi Hussein Jaafar
Publisher:
ISBN:
Category :
Languages : en
Pages : 178

Book Description
Results showed that the current operating policy is sub-optimal, with total number of failure events reaching 27%. The new policies were compared among each other as well as to the present operating policy. Failures decreased by a range of 3-6 folds and hydropower production was found to improve by more than 15% with the SDP-derived rules. Using the generated policies in the future leads to optimal multipurpose operation of the reservoir with improved hydropower production and more than 92% of the demand satisfied.

Improved Stochastic Dynamic Programming for Optimal Reservoir Operation Based on the Asymptotic Convergence of Benefit Differences

Improved Stochastic Dynamic Programming for Optimal Reservoir Operation Based on the Asymptotic Convergence of Benefit Differences PDF Author: Alberto Guitron de los Reyes
Publisher:
ISBN:
Category : Dynamic programming
Languages : en
Pages : 116

Book Description


Optimal Reservoir Operation

Optimal Reservoir Operation PDF Author: Geoffrey G. O'Loughlin
Publisher:
ISBN:
Category : Dams
Languages : en
Pages :

Book Description


Optimum Reservoir Operation Using Stochastic Dynamic Programming

Optimum Reservoir Operation Using Stochastic Dynamic Programming PDF Author: William Samuel Butcher
Publisher:
ISBN:
Category : Reservoirs
Languages : en
Pages : 48

Book Description


Nested algorithms for optimal reservoir operation and their embedding in a decision support platform

Nested algorithms for optimal reservoir operation and their embedding in a decision support platform PDF Author: Blagoj Delipetrev
Publisher: CRC Press
ISBN: 0429611552
Category : Mathematics
Languages : en
Pages : 157

Book Description
Reservoir operation is a multi-objective optimization problem, and is traditionally solved with dynamic programming (DP) and stochastic dynamic programming (SDP) algorithms. The thesis presents novel algorithms for optimal reservoir operation, named nested DP (nDP), nested SDP (nSDP), nested reinforcement learning (nRL) and their multi-objective (MO) variants, correspondingly MOnDP, MOnSDP and MOnRL. The idea is to include a nested optimization algorithm into each state transition, which reduces the initial problem dimension and alleviates the curse of dimensionality. These algorithms can solve multi-objective optimization problems, without significantly increasing the algorithm complexity or the computational expenses. It can additionally handle dense and irregular variable discretization. All algorithms are coded in Java and were tested on the case study of the Knezevo reservoir in the Republic of Macedonia. Nested optimization algorithms are embedded in a cloud application platform for water resources modeling and optimization. The platform is available 24/7, accessible from everywhere, scalable, distributed, interoperable, and it creates a real-time multiuser collaboration platform. This thesis contributes with new and more powerful algorithms for an optimal reservoir operation and cloud application platform. All source codes are available for public use and can be used by researchers and practitioners to further advance the mentioned areas.

Determination of Optimal Capacity Shares for Eppalock Reservoir Using Stochastic Dynamic Programming

Determination of Optimal Capacity Shares for Eppalock Reservoir Using Stochastic Dynamic Programming PDF Author: Shane Robert Haydon
Publisher:
ISBN:
Category : Dynamic programming
Languages : en
Pages : 146

Book Description


Spline Stochastic Dynamic Programming for Multiple Reservoir System Operation Optimization

Spline Stochastic Dynamic Programming for Multiple Reservoir System Operation Optimization PDF Author: José Alberto Tejada-Guibert
Publisher:
ISBN:
Category :
Languages : en
Pages : 690

Book Description


Application of Stochastic Dynamic Programming Models in Optimization of Reservoir Operations

Application of Stochastic Dynamic Programming Models in Optimization of Reservoir Operations PDF Author: Q. He
Publisher:
ISBN:
Category :
Languages : en
Pages : 135

Book Description