Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System
In this study, a simulation-based coyote optimization algorithm (COA) to identify the gains of PI to ameliorate the water-pumping system performance fed from the photovoltaic system is presented. The aim is to develop a stand-alone water-pumping system powered by solar energy, i.e., without the need...
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MDPI AG
2020-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/17/4473 |
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| author | Jouda Arfaoui Hegazy Rezk Mujahed Al-Dhaifallah Mohamed N. Ibrahim Mami Abdelkader |
| author_facet | Jouda Arfaoui Hegazy Rezk Mujahed Al-Dhaifallah Mohamed N. Ibrahim Mami Abdelkader |
| author_sort | Jouda Arfaoui |
| collection | DOAJ |
| description | In this study, a simulation-based coyote optimization algorithm (COA) to identify the gains of PI to ameliorate the water-pumping system performance fed from the photovoltaic system is presented. The aim is to develop a stand-alone water-pumping system powered by solar energy, i.e., without the need of electric power from the utility grid. The voltage of the DC bus was adopted as a good candidate to guarantee the extraction of the maximum power under partial shading conditions. In such a system, two proportional-integral (PI) controllers, at least, are necessary. The adjustment of (Proportional-Integral) controllers are always carried out by classical and tiresome trials and errors techniques which becomes a hard task and time-consuming. In order to overcome this problem, an optimization problem was reformulated and modeled under functional time-domain constraints, aiming at tuning these decision variables. For achieving the desired operational characteristics of the PV water-pumping system for both rotor speed and DC-link voltage, simultaneously, the proposed COA algorithm is adopted. It is carried out through resolving a multiobjective optimization problem employing the weighted-sum technique. Inspired on the <i>Canis latrans</i> species, the COA algorithm is successfully investigated to resolve such a problem by taking into account some constraints in terms of time-domain performance as well as producing the maximum power from the photovoltaic generation system. To assess the efficiency of the suggested COA method, the classical Ziegler–Nichols and trial–error tuning methods for the DC-link voltage and rotor speed dynamics, were compared. The main outcomes ensured the effectiveness and superiority of the COA algorithm. Compared to the other reported techniques, it is superior in terms of convergence rapidity and solution qualities. |
| first_indexed | 2024-03-10T16:42:10Z |
| format | Article |
| id | doaj.art-9f8a15fbbac246d0b02641cee29f9dbf |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T16:42:10Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9f8a15fbbac246d0b02641cee29f9dbf2023-11-20T11:57:58ZengMDPI AGEnergies1996-10732020-08-011317447310.3390/en13174473Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping SystemJouda Arfaoui0Hegazy Rezk1Mujahed Al-Dhaifallah2Mohamed N. Ibrahim3Mami Abdelkader4National School of Engineering of Tunis, University of Tunis ELMANAR, BP 37, Tunis 1002, TunisiaCollege of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11991, Saudi ArabiaSystems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi ArabiaDepartment of Electromechanical, Systems and Metal Engineering, Ghent University, 9000 Ghent, BelgiumDepartment of Physics, Faculty of Sciences, University Tunis El Manar, BP 37, Tunis 1002, TunisiaIn this study, a simulation-based coyote optimization algorithm (COA) to identify the gains of PI to ameliorate the water-pumping system performance fed from the photovoltaic system is presented. The aim is to develop a stand-alone water-pumping system powered by solar energy, i.e., without the need of electric power from the utility grid. The voltage of the DC bus was adopted as a good candidate to guarantee the extraction of the maximum power under partial shading conditions. In such a system, two proportional-integral (PI) controllers, at least, are necessary. The adjustment of (Proportional-Integral) controllers are always carried out by classical and tiresome trials and errors techniques which becomes a hard task and time-consuming. In order to overcome this problem, an optimization problem was reformulated and modeled under functional time-domain constraints, aiming at tuning these decision variables. For achieving the desired operational characteristics of the PV water-pumping system for both rotor speed and DC-link voltage, simultaneously, the proposed COA algorithm is adopted. It is carried out through resolving a multiobjective optimization problem employing the weighted-sum technique. Inspired on the <i>Canis latrans</i> species, the COA algorithm is successfully investigated to resolve such a problem by taking into account some constraints in terms of time-domain performance as well as producing the maximum power from the photovoltaic generation system. To assess the efficiency of the suggested COA method, the classical Ziegler–Nichols and trial–error tuning methods for the DC-link voltage and rotor speed dynamics, were compared. The main outcomes ensured the effectiveness and superiority of the COA algorithm. Compared to the other reported techniques, it is superior in terms of convergence rapidity and solution qualities.https://www.mdpi.com/1996-1073/13/17/4473simulation-based optimizationcoyote optimization algorithmwater pumpingenergy efficiency |
| spellingShingle | Jouda Arfaoui Hegazy Rezk Mujahed Al-Dhaifallah Mohamed N. Ibrahim Mami Abdelkader Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System Energies simulation-based optimization coyote optimization algorithm water pumping energy efficiency |
| title | Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System |
| title_full | Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System |
| title_fullStr | Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System |
| title_full_unstemmed | Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System |
| title_short | Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System |
| title_sort | simulation based coyote optimization algorithm to determine gains of pi controller for enhancing the performance of solar pv water pumping system |
| topic | simulation-based optimization coyote optimization algorithm water pumping energy efficiency |
| url | https://www.mdpi.com/1996-1073/13/17/4473 |
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