A penalty-based optimization for reservoirs system management
A model is presented for planning the operations of interconnected surface water resource facilities equipped with hydroelectric power stations. These facilities are operated for the purpose of water supply, hydroelectric power generation and low flow augmentation for navigation purpose. The model i...
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Published in | Computers & industrial engineering Vol. 28; no. 2; pp. 409 - 422 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Seoul
Elsevier Ltd
1995
Oxford Pergamon Press New York, NY Pergamon Press Inc |
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Abstract | A model is presented for planning the operations of interconnected surface water resource facilities equipped with hydroelectric power stations. These facilities are operated for the purpose of water supply, hydroelectric power generation and low flow augmentation for navigation purpose. The model is formulated as a deterministic large-scale nonlinear program, with decision variables being the monthly reservoir releases, and canal and pipeline flows through turbines. A solution procedure is proposed based on penalty method in which the nonlinear constraints are assigned penalty weights and moved to the objective function. The resulting problem with linear constraints is solved using reduced gradient techniques. The calculations of the reduced gradient is carried out efficiently by utilizing the special structure of the matrix involved in the linear equality constraints. The results of this procedure are compared against those obtained using a subgradient optimization algorithm. The method has been validated using a five-reservoir system of the Senegal River Basin in West Africa, where it serves as the model-base of the planning decision support system. |
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AbstractList | A model is presented for planning the operations of interconnected surface water resource facilities equipped with hydroelectric power stations. These facilities are operated for the purpose of water supply, hydroelectric power generation and low flow augmentation for navigation purpose. The model is formulated as a deterministic large-scale nonlinear program, with decision variables being the monthly reservoir releases, and canal and pipeline flows through turbines. A solution procedure is proposed based on penalty method in which the nonlinear constraints are assigned penalty weights and moved to the objective function. The resulting problem with linear constraints is solved using reduced gradient techniques. The calculations of the reduced gradient is carried out efficiently by utilizing the special structure of the matrix involved in the linear equality constraints. The results of this procedure are compared against those obtained using a subgradient optimization algorithm. The method has been validated using a five-reservoir system of the Senegal River Basin in West Africa, where it serves as the model-base of the planning decision support system. A model is presented for planning the operations of interconnected surface water resource facilities equipped with hydroelectric power stations. These facilities are operated for the purpose of water supply, hydroelectric power generation and low flow augmentation for navigation purpose. The model is formulated as a deterministic large-scale nonlinear program, with decision variable being the monthly reservoir releases, and canal and pipeline flows through turbines. A solution procedure is proposed based on penalty method in which the nonlinear constraints are assigned penalty weights and moved to the objective function. The resulting problem with linear constraints is solved using reduced gradient techniques. The calculations of the reduced gradient is carried out efficiently by utilizing the special structure of the matrix involved in the linear equality constraints. The results of this procedure are compared against those obtained using a subgradient optimization algorithm. The method has been validated using a 5-reservoir system of the Senegal River Basin in West Africa, where it serves as the model-base of the planning decision support system. |
Author | Sylla, C. |
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Cites_doi | 10.1029/WR021i012p01797 10.1111/j.1752-1688.1991.tb01463.x 10.1111/j.1752-1688.1986.tb01859.x 10.1029/WR018i004p00673 10.1029/WR011i006p00777 10.1111/j.1752-1688.1987.tb00778.x 10.1111/j.1752-1688.1991.tb01437.x 10.1007/BF01389447 10.1061/(ASCE)0733-9496(1986)112:3(308) 10.1111/j.1752-1688.1986.tb01912.x 10.1016/0360-8352(93)90016-Q 10.1147/rd.164.0407 10.1080/03052159108941077 10.1111/j.1752-1688.1971.tb01683.x 10.1029/WR018i005p01337 10.1016/0305-0548(91)90038-S 10.1016/0360-8352(92)90041-H 10.1111/j.1752-1688.1992.tb03166.x 10.1016/0377-2217(94)90004-3 10.1016/0305-0548(90)90038-9 10.1029/WR021i006p00779 10.1111/j.1752-1688.1988.tb03043.x 10.1093/comjnl/7.2.149 10.1029/WR021i002p00095 |
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Keywords | algorithms canals water management reservoirs water supply supply surface water planning power plants navigation pipelines water resources optimization Deterministic model programs |
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Snippet | A model is presented for planning the operations of interconnected surface water resource facilities equipped with hydroelectric power stations. These... |
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SubjectTerms | Decision support systems Earth sciences Earth, ocean, space Exact sciences and technology Hydroelectric plants Hydroelectric power Hydrology. Hydrogeology Mathematical models Operations research Studies Water resources |
Title | A penalty-based optimization for reservoirs system management |
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