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...

Full description

Saved in:
Bibliographic Details
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
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2016.03.074