Determining pump operations using particle swarm optimization

Chad Wegley, Muzaffar Eusuff, Kevin E Lansey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Citations (Scopus)

Abstract

This paper describes the use of Particle Swarm Optimization (PSO) for optimizing pump operations in water distribution systems. Here, the decisions are pump speeds for variable frequency drive (VFD) pumps. The objective is to minimize the energy costs while maintaining pressure heads and tank levels within acceptable bounds. The pressure bounds may be set such that leakage losses will be reduced. Alternatively, target pressure heads may be defined and the objective would become to minimize deviations from those targets. PSO is a stochastic optimization methodology along the lines of evolutionary techniques and based upon the concept of simulating social behavior. Unlike genetic algorithms, PSO considers continuous variables. Solutions computed by PSO are derived from both local and global searches. This allows PSO to consider solutions near the vicinity (local) of the starting point, in addition to a possible solution located within a global region. The search process for new point(s) includes consideration of the pervious best solutions. Thus, results have shown that this method converges to global optimal solutions. Copyright ASCE 2004.

Original languageEnglish (US)
Title of host publicationJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships
Volume104
DOIs
StatePublished - 2004
EventJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000 - Minneapolis, MN, United States
Duration: Jul 30 2000Aug 2 2000

Other

OtherJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000
CountryUnited States
CityMinneapolis, MN
Period7/30/008/2/00

Fingerprint

Particle swarm optimization (PSO)
pump
Pumps
Water distribution systems
social behavior
distribution system
genetic algorithm
Genetic algorithms
leakage
particle
energy
water
methodology
Costs
costs
cost

Keywords

  • Optimization
  • Pumps
  • Speed
  • Variability
  • Water distribution

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology
  • Geography, Planning and Development

Cite this

Wegley, C., Eusuff, M., & Lansey, K. E. (2004). Determining pump operations using particle swarm optimization. In Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships (Vol. 104) https://doi.org/10.1061/40517(2000)206

Determining pump operations using particle swarm optimization. / Wegley, Chad; Eusuff, Muzaffar; Lansey, Kevin E.

Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships. Vol. 104 2004.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wegley, C, Eusuff, M & Lansey, KE 2004, Determining pump operations using particle swarm optimization. in Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships. vol. 104, Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000, Minneapolis, MN, United States, 7/30/00. https://doi.org/10.1061/40517(2000)206
Wegley C, Eusuff M, Lansey KE. Determining pump operations using particle swarm optimization. In Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships. Vol. 104. 2004 https://doi.org/10.1061/40517(2000)206
Wegley, Chad ; Eusuff, Muzaffar ; Lansey, Kevin E. / Determining pump operations using particle swarm optimization. Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships. Vol. 104 2004.
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