Numerical Performance Evaluation of Solar Photovoltaic Water Pumping System under Partial Shading Condition using Modern Optimization

Jouda Arfaoui, Hegazy Rezk, Mujahed Al-Dhaifallah, Feki Elyes and Mami Abdelkader
Additional contact information
Jouda Arfaoui: National School of Engineering of Tunis, University of Tunis El Manar, BP 37, Tunis 1002, Tunisia
Hegazy Rezk: College of Engineering at Wadi Addawaser, Prince Sattam Bin Wadi Addawaser Abdulaziz University, Addawaser 11991, Saudi Arabia
Mujahed Al-Dhaifallah: Systems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
Feki Elyes: Department of Physics, Faculty of Sciences, University of Tunis El Manar, BP 37, Tunis 1002, Tunisia
Mami Abdelkader: Department of Physics, Faculty of Sciences, University of Tunis El Manar, BP 37, Tunis 1002, Tunisia

Mathematics, 2019, vol. 7, issue 11, 1-18

Abstract: Renewable energy is an attractive solution for water pumping systems particularly in isolated regions where the utility grid is unavailable. An attempt is made to improve the performance of solar photovoltaic water pumping system (SPVWPS) under partial shading condition. Under this condition, the power versus voltage curve has more than one maximum power point (MPP), which makes the tracking of global MPP not an easy task. Two MPP tracking (MPPT) strategies are proposed and compared for tracking MPP of SPVWPS under shading condition. The first method is based on the classical perturb and observe (P&O) and the other method is based on a Salp Swarm Algorithm (SSA). Based on extensive MATLAB simulation, it is found that the SSA method can provide higher photovoltaic (PV) generated power than the P&O method under shading condition. Consequently, the pump flowrate is increased. But, under normal distribution of solar radiation, both MPPT techniques can extract the maximum power but SSA is considered a time-consuming approach. Moreover, SSA is compared with particle swarm optimization (PSO) and genetic algorithm (GA). The obtained results ensure the superiority of SSA compared with PSO and GA. SSA has high successful rate of reaching true global MPP.

Keywords: modern optimization; numerical evaluation; solar photovoltaic; water pumping (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/7/11/1123/pdf (application/pdf)
https://www.mdpi.com/2227-7390/7/11/1123/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:7:y:2019:i:11:p:1123-:d:287842

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().