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RESEARCH PRODUCT
Multi-stage Linear Programming Optimization for Pump Scheduling
Dragan SavicGabriele FreniMark S. MorleyValeria Puleosubject
Pump schedulingOptimizationEngineeringMathematical optimizationLinear programmingbusiness.industryGeneral MedicineHD-DDSScheduling (computing)Pump flowMulti stageDecision variablesLinear ProgrammingbusinessEngineering(all)description
This study presents a methodology based on Linear Programming for determining the optimal pump schedule on a 24-hour basis, considering as decision variables the continuous pump flow rates which are subsequently transformed into a discrete schedule. The methodology was applied on a case study derived from the benchmark Anytown network. To evaluate the LP reliability, a comparison was made with solutions generated by a Hybrid Discrete Dynamically Dimensioned Search (HD-DDS) algorithm. The cost associated with the result derived from the LP initial solution was shown to be lower than that obtained with repeated HD-DDS runs with differing random seeds. (C) 2013 The Authors. Published by Elsevier Ltd.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-01-01 | Procedia Engineering |