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Journal of the Operational Research Society Volume 55, 2004 - Issue 7
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Part Special Issue

Derivation of near-optimal pump schedules for water distribution by simulated annealing

G MccormickBrunel University Middlesex UKCorrespondence[email protected]
&
R S PowellBrunel University Middlesex UK
Pages 728-736 | Received 01 Jul 2003, Accepted 01 Dec 2003, Published online: 21 Dec 2017

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B Suman & P Kumar. (2006) A survey of simulated annealing as a tool for single and multiobjective optimization. Journal of the Operational Research Society 57:10, pages 1143-1160.
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Xiaopeng Hou, Leike Zhang, Xiaolian Liu, Xueni Wang, Yu Tian, Xianyu Deng & Chen Ye. (2024) Research on optimal allocation of flow and head in cascade pumping stations based on Harris hawks optimization. Water Supply 24:1, pages 272-289.
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Christian F. León-Celi, Pedro L. Iglesias-Rey, Francisco Javier Martínez-Solano & Daniel Mora-Melia. (2022) The Setpoint Curve as a Tool for the Energy and Cost Optimization of Pumping Systems in Water Networks. Water 14:15, pages 2426.
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Dariush Fooladivanda & Joshua A. Taylor. (2018) Energy-Optimal Pump Scheduling and Water Flow. IEEE Transactions on Control of Network Systems 5:3, pages 1016-1026.
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Wanqing Zhao, Thomas H. Beach & Yacine Rezgui. (2018) A systematic mixed-integer differential evolution approach for water network operational optimization. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474:2217, pages 20170879.
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Tulio P. Vieira, Paulo E. M. Almeida, Magali R. G. Meireles & Marcone Jamilson Freitas Souza. (2018) Use of Computational Intelligence for Scheduling of Pumps in Water Distribution Systems: a comparison between optimization algorithms. Use of Computational Intelligence for Scheduling of Pumps in Water Distribution Systems: a comparison between optimization algorithms.
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Xiangtao Zhuan, Lei Zhang, Wei Li & Fei Yang. (2018) Efficient operation of the fourth Huaian pumping station in east route of South-to-North Water Diversion Project. International Journal of Electrical Power & Energy Systems 98, pages 399-408.
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A. Candelieri, R. Perego & F. Archetti. (2018) Bayesian optimization of pump operations in water distribution systems. Journal of Global Optimization 71:1, pages 213-235.
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Ajay Kumar Sampathirao, Pantelis Sopasakis, Alberto Bemporad & Panagiotis Panos Patrinos. (2018) GPU-Accelerated Stochastic Predictive Control of Drinking Water Networks. IEEE Transactions on Control Systems Technology 26:2, pages 551-562.
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Xiangtao Zhuan, Wei Li & Fei Yang. (2017) Optimal Operation Scheduling of a Pumping Station in East Route of South-to-north Water Diversion Project. Energy Procedia 105, pages 3031-3037.
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Guilin Zheng & Qi Huang. (2016) Energy Optimization Study of Rural Deep Well Two-Stage Water Supply Pumping Station. IEEE Transactions on Control Systems Technology 24:4, pages 1308-1316.
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Christopher S. StokesHolger R. MaierAngus R. Simpson. (2015) Water Distribution System Pumping Operational Greenhouse Gas Emissions Minimization by Considering Time-Dependent Emissions Factors. Journal of Water Resources Planning and Management 141:7.
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Bradley J. Eck & Martin Mevissen. (2015) Quadratic approximations for pipe friction. Journal of Hydroinformatics 17:3, pages 462-472.
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Bissan Ghaddar, Joe Naoum-Sawaya, Akihiro Kishimoto, Nicole Taheri & Bradley Eck. (2015) A Lagrangian decomposition approach for the pump scheduling problem in water networks. European Journal of Operational Research 241:2, pages 490-501.
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Chang-Jin Boo, Ho-Chan Kim & Min-Jae Kang. (2015) Energy Cost Saving Control of Water Reuse Pumping System Using Particle Swarm Optimization. Journal of the Korea Academia-Industrial cooperation Society 16:1, pages 860-867.
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Bradley Eck, Sean McKenna, Albert Akrhiev, Akihiro Kishimoto, Paulito Palmes, Nicole Taheri & Susara van den Heever. (2014) Pump Scheduling for Uncertain Electricity Prices. Pump Scheduling for Uncertain Electricity Prices.
Yuling Tang, Guilin Zheng & Shirong Zhang. (2014) Optimal control approaches of pumping stations to achieve energy efficiency and load shifting. International Journal of Electrical Power & Energy Systems 55, pages 572-580.
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V. Puleo, M. Morley, G. Freni & D. Savić. (2014) Multi-stage Linear Programming Optimization for Pump Scheduling. Procedia Engineering 70, pages 1378-1385.
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Xiangtao Zhuan & Xiaohua Xia. (2013) Development of Efficient Model Predictive Control Strategy for Cost-Optimal Operation of a Water Pumping Station. IEEE Transactions on Control Systems Technology 21:4, pages 1449-1454.
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Xiangtao Zhuan & Xiaohua Xia. (2013) Optimal operation scheduling of a pumping station with multiple pumps. Applied Energy 104, pages 250-257.
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Carlo GiacomelloZoran KapelanMatteo Nicolini. (2013) Fast Hybrid Optimization Method for Effective Pump Scheduling. Journal of Water Resources Planning and Management 139:2, pages 175-183.
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Chang-Jin Boo & Ho-Chan Kim. (2012) Optimal Operation Control for Energy Saving in Water Reuse Pumping System. Journal of the Korea Academia-Industrial cooperation Society 13:5, pages 2414-2419.
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He Zhang, Xiaohua Xia & Jiangfeng Zhang. (2012) Optimal sizing and operation of pumping systems to achieve energy efficiency and load shifting. Electric Power Systems Research 86, pages 41-50.
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Manuel López-IbáñezT. Devi PrasadBen Paechter. (2011) Representations and Evolutionary Operators for the Scheduling of Pump Operations in Water Distribution Networks. Evolutionary Computation 19:3, pages 429-467.
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Steven J. RichardsonMelinda R. Hodkiewicz. (2011) Modeling Tool to Support Budgeting and Planning Decisions for Pump Overhauls. Journal of Water Resources Planning and Management 137:4, pages 327-334.
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Xiangtao Zhuan, Lijun Zhang & Jianghua Guo. (2011) Optimal operation scheduling of a pump station. Optimal operation scheduling of a pump station.
João A. Zeferino, António P. Antunes & Maria C. Cunha. (2009) An Efficient Simulated Annealing Algorithm for Regional Wastewater System Planning. Computer-Aided Civil and Infrastructure Engineering 24:5, pages 359-370.
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M. Lopez-Ibanez, T. Devi Prasad & B. Paechter. (2005) Multi-Objective Optimisation of the Pump Scheduling Problem using SPEA2. Multi-Objective Optimisation of the Pump Scheduling Problem using SPEA2.

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