Study of a Real-time Adaptive Closed-loop Control Algorithm for Reservoir Operation

Prepared with the support of the Agency for International Development, the United States Department of State.

Bibliographic Details
Main Authors: Buchanan, Ross B., Bras, Rafael L.
Published: Cambridge, Mass. : Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, Department of Civil Engineering, Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/143009
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author Buchanan, Ross B.
Bras, Rafael L.
author_facet Buchanan, Ross B.
Bras, Rafael L.
author_sort Buchanan, Ross B.
collection MIT
description Prepared with the support of the Agency for International Development, the United States Department of State.
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institution Massachusetts Institute of Technology
last_indexed 2024-09-23T16:01:27Z
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publisher Cambridge, Mass. : Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, Department of Civil Engineering, Massachusetts Institute of Technology
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spelling mit-1721.1/1430092022-06-14T03:03:49Z Study of a Real-time Adaptive Closed-loop Control Algorithm for Reservoir Operation Buchanan, Ross B. Bras, Rafael L. Prepared with the support of the Agency for International Development, the United States Department of State. Recent studies on the optimal control of the High Aswan Dam in Egypt have illustrated the usefulness of steady-state stochastic dynamic programming techniques for deriving optimal release policies. This work likewise uses stochastic dynamic programming for the determination of optimal High Dam releases, but a new adaptive reservoir control scheme capable of handling a nonstationary system is investigated. Using results of the stationary control problem as boundary conditions, a finite horizon optimization problem is solved in order to incorporate the multi-lead forecasts of reservoir inflows and any other nonstationarities into the solution procedure. A comparison is made of a heuristic operating policy for the High Aswan Dam with that resulting from a steady-state stochastic dynamic programming solution and that from the suggested real-time adaptive control formulation. The objective is to minimize losses due to irrigation deficits, power production deficits and damages due to flooding. It can be concluded that performance is better with the steady-state solution, and it is best using the adaptive formulation. Particularly, the use of forecasts and the adaptive formulation significantly reduces flood damages. 2022-06-13T13:09:15Z 2022-06-13T13:09:15Z 1981-07 265 https://hdl.handle.net/1721.1/143009 8235039 241427 R (Massachusetts Institute of Technology. Department of Civil Engineering) ; 81-17. Report (Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics) ; 265. application/pdf Cambridge, Mass. : Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, Department of Civil Engineering, Massachusetts Institute of Technology
spellingShingle Buchanan, Ross B.
Bras, Rafael L.
Study of a Real-time Adaptive Closed-loop Control Algorithm for Reservoir Operation
title Study of a Real-time Adaptive Closed-loop Control Algorithm for Reservoir Operation
title_full Study of a Real-time Adaptive Closed-loop Control Algorithm for Reservoir Operation
title_fullStr Study of a Real-time Adaptive Closed-loop Control Algorithm for Reservoir Operation
title_full_unstemmed Study of a Real-time Adaptive Closed-loop Control Algorithm for Reservoir Operation
title_short Study of a Real-time Adaptive Closed-loop Control Algorithm for Reservoir Operation
title_sort study of a real time adaptive closed loop control algorithm for reservoir operation
url https://hdl.handle.net/1721.1/143009
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AT brasrafaell studyofarealtimeadaptiveclosedloopcontrolalgorithmforreservoiroperation