Model for the real-time operation of water distribution systems under limited power availability

Puneet Khatavkar, Larry Mays

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

3 Scopus citations

Abstract

This paper presents a new methodology for the real-time operation of water distribution systems under critical conditions of limited electrical energy due to emergencies such as extreme drought conditions, electric grid failure, and other severe conditions related to natural conditions. The basic objective of optimizing the operations of a water distribution system under limited availability of energy is to attempt to satisfy the required levels of demand at various locations while also meeting pressure requirements of the system and maintaining an optimal pumping schedule. The approach adopted here is to interface an optimization procedure (genetic algorithm) with a simulator (EPANET) in the framework of an optimal control problem to determine the real-time optimal operation of a water distribution system under limited electrical input under emergency conditions. The genetic algorithm searches over pump operation in combination with maximizing the demands that can be satisfied with limited energy input. The interfacing of the simulator and the genetic algorithm has been accomplished within the framework of MATLAB.

Original languageEnglish (US)
Title of host publicationWorld Environmental and Water Resources Congress 2017
Subtitle of host publicationInternational Perspectives, History and Heritage, Emerging Technologies, and Student Papers - Selected Papers from the World Environmental and Water Resources Congress 2017
PublisherAmerican Society of Civil Engineers (ASCE)
Pages171-183
Number of pages13
ISBN (Electronic)9780784480595
DOIs
StatePublished - 2017
Event17th World Environmental and Water Resources Congress 2017 - Sacramento, United States
Duration: May 21 2017May 25 2017

Other

Other17th World Environmental and Water Resources Congress 2017
CountryUnited States
CitySacramento
Period5/21/175/25/17

ASJC Scopus subject areas

  • Environmental Science(all)

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