Multiobjective differential evolution algorithm-based sizing of a standalone photovoltaic water pumping system

•Multiobjective optimization algorithm is used to optimize the size of PVPS.•The aggregated objective function composes of technical and economic objectives.•A wide range sets of weights of objective functions are tested. In this paper, a differential evolution based multiobjective optimization algo...

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Published in:	Energy conversion and management Vol. 118; pp. 32 - 43
Main Authors:	Muhsen, Dhiaa Halboot, Ghazali, Abu Bakar, Khatib, Tamer
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.06.2016
Subjects:	Algorithms Differential evolution Evolution Life cycle cost life cycle costing Life cycle costs Loss of load probability Management meteorological data Multiobjective optimization Optimization Photovoltaic Photovoltaic cells probability Pumping Solar cells Solar water pumping system water flow Differential evolution Photovoltaic Loss of load probability Solar water pumping system Multiobjective optimization Life cycle cost
ISSN:	0196-8904, 1879-2227
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Abstract	•Multiobjective optimization algorithm is used to optimize the size of PVPS.•The aggregated objective function composes of technical and economic objectives.•A wide range sets of weights of objective functions are tested. In this paper, a differential evolution based multiobjective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS). Three weighted individual objectives are aggregated by a single function to optimize the configuration of PVPS. Loss of load probability, life cycle cost and the volume of excess water are considered as three individual objective functions. The proposed pumping system is supposed to provide a daily water volume of 30m3 with a static head of 20m. The complexity of the initializing of the weights for each individual objective function is overcome by testing a wide range sets of weights. The performance of the system is tested based on hourly meteorological data. The performance results of the proposed system show that the loss of load probability and the average hourly water flow rate over a year time are around 0.5% and 3.297m3/h, respectively. The life cycle cost, water deficit, and cost of water unit of the system are 9911USD, 55.015m3, and 0.045USD/m3, respectively.
AbstractList	In this paper, a differential evolution based multiobjective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS). Three weighted individual objectives are aggregated by a single function to optimize the configuration of PVPS. Loss of load probability, life cycle cost and the volume of excess water are considered as three individual objective functions. The proposed pumping system is supposed to provide a daily water volume of 30 m super(3) with a static head of 20 m. The complexity of the initializing of the weights for each individual objective function is overcome by testing a wide range sets of weights. The performance of the system is tested based on hourly meteorological data. The performance results of the proposed system show that the loss of load probability and the average hourly water flow rate over a year time are around 0.5% and 3.297 m super(3)/h, respectively. The life cycle cost, water deficit, and cost of water unit of the system are 9911 USD, 55.015 m super(3), and 0.045 USD/m super(3), respectively. In this paper, a differential evolution based multiobjective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS). Three weighted individual objectives are aggregated by a single function to optimize the configuration of PVPS. Loss of load probability, life cycle cost and the volume of excess water are considered as three individual objective functions. The proposed pumping system is supposed to provide a daily water volume of 30m³ with a static head of 20m. The complexity of the initializing of the weights for each individual objective function is overcome by testing a wide range sets of weights. The performance of the system is tested based on hourly meteorological data. The performance results of the proposed system show that the loss of load probability and the average hourly water flow rate over a year time are around 0.5% and 3.297m³/h, respectively. The life cycle cost, water deficit, and cost of water unit of the system are 9911USD, 55.015m³, and 0.045USD/m³, respectively. •Multiobjective optimization algorithm is used to optimize the size of PVPS.•The aggregated objective function composes of technical and economic objectives.•A wide range sets of weights of objective functions are tested. In this paper, a differential evolution based multiobjective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS). Three weighted individual objectives are aggregated by a single function to optimize the configuration of PVPS. Loss of load probability, life cycle cost and the volume of excess water are considered as three individual objective functions. The proposed pumping system is supposed to provide a daily water volume of 30m3 with a static head of 20m. The complexity of the initializing of the weights for each individual objective function is overcome by testing a wide range sets of weights. The performance of the system is tested based on hourly meteorological data. The performance results of the proposed system show that the loss of load probability and the average hourly water flow rate over a year time are around 0.5% and 3.297m3/h, respectively. The life cycle cost, water deficit, and cost of water unit of the system are 9911USD, 55.015m3, and 0.045USD/m3, respectively.
Author	Khatib, Tamer Muhsen, Dhiaa Halboot Ghazali, Abu Bakar
Author_xml	– sequence: 1 givenname: Dhiaa Halboot orcidid: 0000-0003-2192-2162 surname: Muhsen fullname: Muhsen, Dhiaa Halboot email: deia_mohussen@yahoo.com organization: Department of EC Engineering, University of Tenaga Nasional, Malaysia – sequence: 2 givenname: Abu Bakar surname: Ghazali fullname: Ghazali, Abu Bakar email: abakar@uniten.edu.my organization: Department of EC Engineering, University of Tenaga Nasional, Malaysia – sequence: 3 givenname: Tamer surname: Khatib fullname: Khatib, Tamer email: t.khatib@najah.edu organization: Department of Energy Engineering and Environment, An-Najah National University, Nablus, Palestine
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Keywords	Differential evolution Photovoltaic Loss of load probability Solar water pumping system Multiobjective optimization Life cycle cost
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Snippet	•Multiobjective optimization algorithm is used to optimize the size of PVPS.•The aggregated objective function composes of technical and economic objectives.•A... In this paper, a differential evolution based multiobjective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS)....
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SubjectTerms	Algorithms Differential evolution Evolution Life cycle cost life cycle costing Life cycle costs Loss of load probability Management meteorological data Multiobjective optimization Optimization Photovoltaic Photovoltaic cells probability Pumping Solar cells Solar water pumping system water flow
Title	Multiobjective differential evolution algorithm-based sizing of a standalone photovoltaic water pumping system
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