Pump scheduling optimization model for water supply system using AWGA
The water supply system has a high operational cost associated with its operations. This is characteristically due to the operations of the pumps that consume significantly high amount of electric energy. In order to minimize the electric energy consumption and reduce the maintenance cost of the sys...
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my.utm.512642017-09-04T16:16:34Z http://eprints.utm.my/id/eprint/51264/ Pump scheduling optimization model for water supply system using AWGA Folorunso, Taliha Abiodun Ismail, Fatimah Sham TK Electrical engineering. Electronics Nuclear engineering The water supply system has a high operational cost associated with its operations. This is characteristically due to the operations of the pumps that consume significantly high amount of electric energy. In order to minimize the electric energy consumption and reduce the maintenance cost of the system, this paper proposes the use of an Adaptive Weighted sum Genetic Algorithm (AWGA) in creating an optimal pump schedule, which can minimize the cost of electricity and satisfy the constraint of the maximum and minimum levels of water in the reservoir as well. The Adaptive weighted sum GA is based on popular weighted sum approach GA for multi-objective optimization problem wherein the weights multipliers of the individual fitness functions are adaptively selected. The algorithm has been tested using a hypothetical case study and promising results have been obtained and presented. 2013 Conference or Workshop Item PeerReviewed Folorunso, Taliha Abiodun and Ismail, Fatimah Sham (2013) Pump scheduling optimization model for water supply system using AWGA. In: 2013 IEEE Symposium on Computers & Informatics (ISCI), 7th-9th April 2013, Langkawi, Malaysia. http://ieeexplore.ieee.org/document/6612367/ |
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TK Electrical engineering. Electronics Nuclear engineering Folorunso, Taliha Abiodun Ismail, Fatimah Sham Pump scheduling optimization model for water supply system using AWGA |
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The water supply system has a high operational cost associated with its operations. This is characteristically due to the operations of the pumps that consume significantly high amount of electric energy. In order to minimize the electric energy consumption and reduce the maintenance cost of the system, this paper proposes the use of an Adaptive Weighted sum Genetic Algorithm (AWGA) in creating an optimal pump schedule, which can minimize the cost of electricity and satisfy the constraint of the maximum and minimum levels of water in the reservoir as well. The Adaptive weighted sum GA is based on popular weighted sum approach GA for multi-objective optimization problem wherein the weights multipliers of the individual fitness functions are adaptively selected. The algorithm has been tested using a hypothetical case study and promising results have been obtained and presented. |
format |
Conference or Workshop Item |
author |
Folorunso, Taliha Abiodun Ismail, Fatimah Sham |
author_facet |
Folorunso, Taliha Abiodun Ismail, Fatimah Sham |
author_sort |
Folorunso, Taliha Abiodun |
title |
Pump scheduling optimization model for water supply system using AWGA |
title_short |
Pump scheduling optimization model for water supply system using AWGA |
title_full |
Pump scheduling optimization model for water supply system using AWGA |
title_fullStr |
Pump scheduling optimization model for water supply system using AWGA |
title_full_unstemmed |
Pump scheduling optimization model for water supply system using AWGA |
title_sort |
pump scheduling optimization model for water supply system using awga |
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2013 |
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http://eprints.utm.my/id/eprint/51264/ http://ieeexplore.ieee.org/document/6612367/ |
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13.18916 |