Log in

Relevant bibliographies by topics / Particle Swarm Optimization [PSO]; Maximum Power Point Tracking [MPPT]; Photovoltaic [PV] System / Journal articles

To see the other types of publications on this topic, follow the link: Particle Swarm Optimization [PSO]; Maximum Power Point Tracking [MPPT]; Photovoltaic [PV] System.

Journal articles on the topic 'Particle Swarm Optimization [PSO]; Maximum Power Point Tracking [MPPT]; Photovoltaic [PV] System'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Particle Swarm Optimization [PSO]; Maximum Power Point Tracking [MPPT]; Photovoltaic [PV] System.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Mukti, Ersalina Werda, Agus Risdiyanto, Ant Ardath Kristi, and Rudi Darussalam. "Particle Swarm Optimization (PSO) based Photovoltaic MPPT Algorithm under the Partial Shading Condition." Jurnal Elektronika dan Telekomunikasi 23, no. 2 (2023): 99. http://dx.doi.org/10.55981/jet.552.

Full text

Abstract:

Performance of solar photovoltaic (PV) system degrades considerably when the surface of the PV array is covered with shadows indicated by the reduction in the generated power. Partial shading condition causes the PV array to produce multiple peaks in PV’s characteristic curve causing the non-optimal power generation of the conventional maximum power point (MPPT) algorithm. Therefore, we proposed an optimization of PV system through the design of particle swarm optimization (PSO) algorithm in the MPPT in order to enhance the power extraction during shaded conditions. The evaluation of the perfo

APA, Harvard, Vancouver, ISO, and other styles

2

Sharma, Abhishek, Abhinav Sharma, Vibhu Jately, Moshe Averbukh, Shailendra Rajput, and Brian Azzopardi. "A Novel TSA-PSO based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions." Energies 15, no. 9 (2022): 3164. https://doi.org/10.3390/en15093164.

Full text

Abstract:

In this paper, a new hybrid TSA-PSO algorithm is proposed that combines tunicate swarm algorithm (TSA) with the particle swarm optimization (PSO) technique for efficient maximum power extraction from a photovoltaic (PV) system subjected to partial shading conditions (PSCs). The performance of the proposed algorithm was enhanced by incorporating the PSO algorithm, which improves the exploitation capability of TSA. The response of the proposed TSA-PSO-based MPPT was investigated by performing a detailed comparative study with other recently published MPPT algorithms, such as tunicate swarm algor

APA, Harvard, Vancouver, ISO, and other styles

3

Duranay, Zeynep Bala, and Hanifi Güldemir. "Mitigating Partial Shading Effects in Photovoltaic Systems Using Particle Swarm Optimization-Tuned Sliding Mode Control." Processes 13, no. 5 (2025): 1463. https://doi.org/10.3390/pr13051463.

Full text

Abstract:

The power output of a photovoltaic (PV) system is inherently dependent on climatic factors. To maximize the energy harvested from PV arrays, maximum power point tracking (MPPT) algorithms are employed. These algorithms dynamically adjust the operating point of the system to extract the maximum available power. However, under partial shading conditions (PSCs), conventional MPPT algorithms often fail to locate the global maximum power point, leading to suboptimal power extraction. In this study, a robust MPPT technique based on sliding mode control (SMC) is proposed to enhance tracking efficienc

APA, Harvard, Vancouver, ISO, and other styles

4

Iman, M. I., M. F. Roslan, Pin Jern Ker, and M. A. Hannan. "An Intelligent Maximum Power Point Tracking Algorithm for Photovoltaic System." International Journal of Engineering & Technology 7, no. 4.35 (2018): 457. http://dx.doi.org/10.14419/ijet.v7i4.35.22861.

Full text

Abstract:

This work comprehensively demonstrates the performance analysis of Fuzzy Logic Controller (FLC) with Particle Swarm Optimization (PSO) Maximum Power Point Tracker (MPPT) algorithm on a stand-alone Photovoltaic (PV) applications systems. A PV panel, DC-DC Boost converter and resistive load was utilized as PV system. Three different MPPT algorithms were implemented in the converter. The result obtained from the converter was analyzed and compared to find the best algorithm to be used to identify the point in which maximum power can be achieve in a PV system. The objective is to reduce the time t

APA, Harvard, Vancouver, ISO, and other styles

5

Priya, Murugesan Vishnu, and Gopal Anandha Kumar. "Particle swarm optimization for enhanced maximum power point tracking: design and implementation in Proteus." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 1 (2024): 491. http://dx.doi.org/10.11591/ijpeds.v15.i1.pp491-497.

Full text

Abstract:

This study introduces a photovoltaic (PV) system model tailored for PV design, incorporating a particle swarm optimization (PSO) MPPT technique to achieve optimal efficiency, swift responsiveness, and cost-effectiveness. To initiate, a PV module model is formulated within Proteus using SPICE coding. Subsequently, an experimental test setup is deployed to authenticate and validate the model. Following this, a PSO-based MPPT algorithm is proposed, which overcomes the limitations of conventional perturb and observe (P&amp;O) and incremental conductance MPPT methods, notably reducing the relia

APA, Harvard, Vancouver, ISO, and other styles

6

Evi, Nafiatus Sholikhah, Ayub Windarko Novie, and Sumantri Bambang. "Tunicate swarm algorithm based maximum power point tracking for photovoltaic system under non-uniform irradiation." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 4559–70. https://doi.org/10.11591/ijece.v12i5.pp4559-4570.

Full text

Abstract:

A new maximum power point tracking (MPPT) technique based on the bio-inspired metaheuristic algorithm for photovoltaic system (PV system) is proposed, namely tunicate swarm algorithm-based MPPT (TSA-MPPT). The proposed algorithm is implemented on the PV system with five PV modules arranged in series and integrated with DC-DC buck converter. Then, the PV system is tested in a simulation using PowerSim (PSIM) software. TSA-MPPT is tested under varying irradiation conditions both uniform irradiation and non-uniform irradiation. Furthermore, to evaluate the performance, TSA-MPPT is compared with p

APA, Harvard, Vancouver, ISO, and other styles

7

Aji, Akbar Firdaus, Tri Yunardi Riky, Inaiyah Agustin Eva, D. N. Nahdliyah Sisca, and Aryo Nugroho Teguh. "An improved control for MPPT based on FL-PSo to minimize oscillation in photovoltaic system." International Journal of Power Electronics and Drive System (IJPEDS) 11, no. 2 (2020): 1082–87. https://doi.org/10.11591/ijpeds.v11.i2.pp1082-1087.

Full text

Abstract:

Photovoltaic (PV) is a source of electrical energy derived from solar energy and has a poor level of efficiency. This efficiency is influenced by PV condition, weather, and equipments like Maximum Power Point Tracking (MPPT). MPPT control is widely used to improve PV efficiency because MPPT can produce optimal power in various weather conditions. In this paper, MPPT control is performed using the Fuzzy Logic-Particle Swarm Optimization (FL-PSO) method. This FL-PSO is used to get the Maximum Power Point (MPP) and minimize the output power oscillation from PV. From the simulation results using F

APA, Harvard, Vancouver, ISO, and other styles

8

Sharma, Abhishek, Abhinav Sharma, Vibhu Jately, Moshe Averbukh, Shailendra Rajput, and Brian Azzopardi. "A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions." Energies 15, no. 9 (2022): 3164. http://dx.doi.org/10.3390/en15093164.

Full text

Abstract:

In this paper, a new hybrid TSA-PSO algorithm is proposed that combines tunicate swarm algorithm (TSA) with the particle swarm optimization (PSO) technique for efficient maximum power extraction from a photovoltaic (PV) system subjected to partial shading conditions (PSCs). The performance of the proposed algorithm was enhanced by incorporating the PSO algorithm, which improves the exploitation capability of TSA. The response of the proposed TSA-PSO-based MPPT was investigated by performing a detailed comparative study with other recently published MPPT algorithms, such as tunicate swarm algor

APA, Harvard, Vancouver, ISO, and other styles

9

Sharma, Abhishek, Abhinav Sharma, Vibhu Jately, Moshe Averbukh, Shailendra Rajput, and Brian Azzopardi. "A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions." Energies 15, no. 9 (2022): 3164. http://dx.doi.org/10.3390/en15093164.

Full text

Abstract:

In this paper, a new hybrid TSA-PSO algorithm is proposed that combines tunicate swarm algorithm (TSA) with the particle swarm optimization (PSO) technique for efficient maximum power extraction from a photovoltaic (PV) system subjected to partial shading conditions (PSCs). The performance of the proposed algorithm was enhanced by incorporating the PSO algorithm, which improves the exploitation capability of TSA. The response of the proposed TSA-PSO-based MPPT was investigated by performing a detailed comparative study with other recently published MPPT algorithms, such as tunicate swarm algor

APA, Harvard, Vancouver, ISO, and other styles

10

Sholikhah, Evi Nafiatus, Novie Ayub Windarko, and Bambang Sumantri. "Tunicate swarm algorithm based maximum power point tracking for photovoltaic system under non-uniform irradiation." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 4559. http://dx.doi.org/10.11591/ijece.v12i5.pp4559-4570.

Full text

Abstract:

<span>A new maximum power point tracking (MPPT) technique based on the bio-inspired metaheuristic algorithm for photovoltaic system (PV system) is proposed, namely tunicate swarm algorithm-based MPPT (TSA-MPPT). The proposed algorithm is implemented on the PV system with five PV modules arranged in series and integrated with DC-DC buck converter. Then, the PV system is tested in a simulation using PowerSim (PSIM) software. TSA-MPPT is tested under varying irradiation conditions both uniform irradiation and non-uniform irradiation. Furthermore, to evaluate the performance, TSA-MPPT is com

APA, Harvard, Vancouver, ISO, and other styles

11

Firdaus, Aji Akbar, Riky Tri Yunardi, Eva Inaiyah Agustin, Sisca D. N. Nahdliyah, and Teguh Aryo Nugroho. "An improved control for MPPT based on FL-PSo to minimize oscillation in photovoltaic system." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 2 (2020): 1082. http://dx.doi.org/10.11591/ijpeds.v11.i2.pp1082-1087.

Full text

Abstract:

Photovoltaic (PV) is a source of electrical energy derived from solar energy and has a poor level of efficiency. This efficiency is influenced by PV condition, weather, and equipments like Maximum Power Point Tracking (MPPT). MPPT control is widely used to improve PV efficiency because MPPT can produce optimal power in various weather conditions. In this paper, MPPT control is performed using the Fuzzy Logic-Particle Swarm Optimization (FL-PSO) method. This FL-PSO is used to get the Maximum Power Point (MPP) and minimize the output power oscillation from PV. From the simulation results using F

APA, Harvard, Vancouver, ISO, and other styles

12

Baatiah, Adel O., Ali M. Eltamaly, and Majed A. Alotaibi. "Improving Photovoltaic MPPT Performance through PSO Dynamic Swarm Size Reduction." Energies 16, no. 18 (2023): 6433. http://dx.doi.org/10.3390/en16186433.

Full text

Abstract:

Efficient energy extraction in photovoltaic (PV) systems relies on the effective implementation of Maximum Power Point Tracking (MPPT) techniques. Conventional MPPT techniques often suffer from slow convergence speeds and suboptimal tracking performance, particularly under dynamic variations of environmental conditions. Smart optimization algorithms (SOA) using metaheuristic optimization algorithms can avoid these limitations inherent in conventional MPPT methods. The problem of slow convergence of the SOA is avoided in this paper using a novel strategy called Swarm Size Reduction (SSR) utiliz

APA, Harvard, Vancouver, ISO, and other styles

13

Thi, Thom Hoang, and Huong Le Thi. "Application of mutant particle swarm optimization for MPPT in photovoltaic system." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 2 (2020): 600–607. https://doi.org/10.11591/ijeecs.v19.i2.pp600-607.

Full text

Abstract:

The P –V characteristic of a photovoltaic system (PVs) is non-linear and de-pends entirely on the extreme environmental condition, thus a large amount PV energy is lost in the environment. To enhance the operating efficiency of the PVs, a maximum power point tracking (MPPT) controller is normally equipped in the system. This paper proposes a new mutant particle swarm optimization (MPSO) algorithm for tracking the maximum power point (MPP) in the PVs. The MPSO-based MPPT algorithm not only surmounts the steady-state oscillation (SSO) around the MPP, but also tracks accurately the optimum

APA, Harvard, Vancouver, ISO, and other styles

14

Yoganandini, A. P., and G. S. Anitha. "A modified particle swarm optimization algorithm to enhance MPPT in the PV array." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 5001–8. https://doi.org/10.11591/ijece.v10i5.pp5001-5008.

Full text

Abstract:

Due to the growing demand for electrical power, the researchers are trying to fulfill this demand by considering different ways of renewable energy resource as existing energy resources failed to do so. The solar energy from the sun is freely available, and by using photovoltaic (PV) cell power can be generated. However, it depends on rays fall on the PV cell, climatic condition. Thus, to enhance the efficiency of the photovoltaic (PV) systems, maximum power point tracking (MPPT) of the solar arrays is needed. The output of solar arrays mainly depends on solar irradiance and temperature. The m

APA, Harvard, Vancouver, ISO, and other styles

15

Srivastava, Spandan, Charu Lata, Prateek Lohan, and Rinchin W. Mosobi. "Comparative Analysis of Particle Swarm Optimization and Artificial Neural Network Based MPPT with Variable Irradiance and Load." International Journal of Electrical and Electronics Research 10, no. 3 (2022): 460–65. http://dx.doi.org/10.37391/ijeer.100309.

Full text

Abstract:

The escalating demands and increasing awareness for the environment, resulted in deployment of Photovoltaic (PV) system as a viable option. PV system are widely installed for numerous applications. However, the challenges in tracking the maximum power with intermittent atmospheric condition and varying load is significant. Maximum Power Point Tracking (MPPT) algorithms are employed and based on their convergence speed, control of external variations and oscillation, the output power efficiency, and other significant factors viz. the algorithm complexity and implementation cost, novel MPPT appr

APA, Harvard, Vancouver, ISO, and other styles

16

M, Abdulkadir, and Yatim AHM. "Optimization of an MPPT-based Controller for PV System using PSO." European Journal of Advances in Engineering and Technology 5, no. 4 (2018): 218–29. https://doi.org/10.5281/zenodo.10706980.

Full text

Abstract:

<strong>ABSTRACT </strong> This paper presents a control method suitable for photovoltaic (PV) systems which ensure that power generated is maximized for various conditions. Due to partial shading conditions in PV, the power-voltage characteristics exhibit multiple local peaks; one such phenomenon is the global peak. These conditions make it very challenging for maximum power point tracking (MPPT) to locate the global maximum power point. Many tracking algorithms have been proposed for this purpose. In this paper, a modified particle swarm optimization (PSO)-based MPPT technique is proposed. U

APA, Harvard, Vancouver, ISO, and other styles

17

Puttalingaiah, Yoganandini Arehalli, and Anitha Gowda Shesadri. "A cost-effective and optimized maximum powerpoint tracking system for the photovoltaic model." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 5 (2023): 4942–49. https://doi.org/10.11591/ijece.v13i5.pp4942-4949.

Full text

Abstract:

Solar energy is naturally available from sun, and it can be extracted by using a photovoltaic (PV) cell. However, solar energy extraction entirely depends on the climatic conditions and angle of rays falling on PV cells. Hence, maximum powerpoint tracking (MPPT) is considered in most areas under variable climatic conditions, which acts as a controller unit for PV cells. MPPT can enhance the efficiency of PV cells. However, designing an MPPT model is challenging as different uncertainties in the climatic condition may lead to more fluctuations in voltage and current in PV cells. Under the shade

APA, Harvard, Vancouver, ISO, and other styles

18

Salah, Hanfoug, and Moulahcene Fateh. "Improved and analysis of the maximum power point based on PSO, PO and INC algorithms in photovoltaic systems." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e11999. https://doi.org/10.54021/seesv5n2-744.

Full text

Abstract:

In this paper, three techniques for tracking the maximum power point (MPPT) of a photovoltaic generator (GPV) using Matlab Simulink were presented, an extensive comparative study of three techniques for maximising power, namely P&O, IC and PSO in photovoltaic systems. The objective of the study is to evaluate and compare the performance of these techniques in terms of power extraction efficiency, response time and tracking accuracy. It presents a prescribed photovoltaic system and simulates the performance of different MPPT algorithms,, including Incremental Conductance (INC), Perturb &amp

APA, Harvard, Vancouver, ISO, and other styles

19

Rahma, Elarabi, Berbaoui Brahim, and Mansouri Smail. "A particle swarm optimization-based maximum power point tracking algorithm for PV Systems." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e11181. https://doi.org/10.54021/seesv5n2-577.

Full text

Abstract:

The need for energy continues to rise as civilization progresses. Because of its sustainable and ecologically favorable benefits, solar energy has sparked enormous interest. The output power of photovoltaic (PV) cells, being one of the most efficient solar energy systems, is easily impacted by the external environment. This research developed a maximum power point tracking (MPPT) approach to handle the problem of PV cell maximum power output. The pulse width modulation (PWM) control module settings are set according to the characteristics of the PV cells' output voltage using the online partic

APA, Harvard, Vancouver, ISO, and other styles

20

Kamil, Anas, Mahmoud Nasr, and Shamam Alwash. "Maximum Power Point Tracking Method for Photovoltaic System Based on Enhanced Particle Swarm Optimization Algorithm Under Partial Shading Condition." International Journal of Intelligent Engineering and Systems 13, no. 6 (2020): 241–54. http://dx.doi.org/10.22266/ijies2020.1231.22.

Full text

Abstract:

The maximum power point tracking (MPPT) is an essential key to ensure that the photovoltaic (PV) system is operated at the highest possible power generation. This paper presents an efficient MPPT method for the PV system based on an enhanced particle swarm optimization algorithm to track the location of the global maximum power point, whatever its location changes in the search space under all environmental conditions, including the partial shading on strings. In this paper, the formulation of the conventional particle swarm optimization algorithm is enhanced to decrease the searching time and

APA, Harvard, Vancouver, ISO, and other styles

21

Indrasari, W., A. R. Nuvus, S. F. Ariyanti, and R. N. Setiadi. "Implementation of the MPPT Particle Swarm Optimization Algorithm on a Hybrid PV-TEG Solar Panel with a DC-DC Buck Converter." Journal of Physics: Conference Series 2866, no. 1 (2024): 012050. http://dx.doi.org/10.1088/1742-6596/2866/1/012050.

Full text

Abstract:

Abstract Solar panels necessitate power control to locate the optimal working point amidst quickly changing voltages and diverse weather circumstances. This enables the system to adapt and sustain optimal performance in real-time. In order to address this issue, the optimization methodology known as Maximum Power Point Tracking (MPPT) is employed using an algorithmic artificial intelligence (AI) method. Particle Swarm Optimization (PSO) is a swarm intelligence technique that has effectively tackled diverse optimization issues in intricate systems. The DC-DC Buck Converter, which incorporates M

APA, Harvard, Vancouver, ISO, and other styles

22

Louarem, S., F. Z. Kebbab, H. Salhi, and H. Nouri. "A comparative study of maximum power point tracking techniques for a photovoltaic grid-connected system." Electrical Engineering & Electromechanics, no. 4 (July 8, 2022): 27–33. http://dx.doi.org/10.20998/2074-272x.2022.4.04.

Full text

Abstract:

Purpose. In recent years, the photovoltaic systems (PV) become popular due to several advantages among the renewable energy. Tracking maximum power point in PV systems is an important task and represents a challenging issue to increase their efficiency. Many different maximum power point tracking (MPPT) control methods have been proposed to adjust the peak power output and improve the generating efficiency of the PV system connected to the grid. Methods. This paper presents a Beta technique based MPPT controller to effectively track maximum power under all weather conditions. The effectiveness

APA, Harvard, Vancouver, ISO, and other styles

23

Thi Hoang, Thom, and Thi Huong Le. "Application of mutant particle swarm optimization for MPPT in photovoltaic system." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 2 (2020): 600. http://dx.doi.org/10.11591/ijeecs.v19.i2.pp600-607.

Full text

Abstract:

<span>The P –V characteristic of a photovoltaic system (PVs) is non-linear and de-pends entirely on the extreme environmental condition, thus a large amount PV energy is lost in the environment. To enhance the operating efficiency of the PVs, a maximum power point tracking (MPPT) controller is normally equipped in the system. This paper proposes a new mutant particle swarm optimization (MPSO) algorithm for tracking the maximum power point (MPP) in the PVs. The MPSO-based MPPT algorithm not only surmounts the steady-state oscillation (SSO) around the MPP, but also tracks accurately the op

APA, Harvard, Vancouver, ISO, and other styles

24

YAKUBU, Al-amin, Ertuğrul ADIGÜZEL, and Aysel ERSOY. "Enhanced particle swarm optimization and P&O for MPPT of photovoltaic systems under partial shading conditions." International Journal of Energy Applications and Technologies 10, no. 2 (2023): 80–91. http://dx.doi.org/10.31593/ijeat.1283665.

Full text

Abstract:

Although Photovoltaic Technologies are largely deployed as a renewable energy source, several factors affect their performance. The major factors that affect PV performance are changes in irradiance and temperature. Maximum PowerPoint Tracking of PV output is essential in giving the maximum photovoltaic outputs at variable levels. Instantaneous variation in irradiance and temperature increases the complexity of tracking maximum power points. Partial shading conditions resulting from shade from trees, tall buildings, and Cloud formation amongst others greatly affect PV systems, especially in la

APA, Harvard, Vancouver, ISO, and other styles

25

A. P., Yoganandini, and Anitha G. S. "A modified particle swarm optimization algorithm to enhance MPPT in the PV array." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 5001. http://dx.doi.org/10.11591/ijece.v10i5.pp5001-5008.

Full text

Abstract:

Due to the growing demand for electrical power, the researchers are trying to fulfill this demand by considering different ways of renewable energy resource as existing energy resources failed to do so. The solar energy from the sun is freely available, and by using photovoltaic (PV) cell power can be generated. However, it depends on rays fall on the PV cell, climatic condition. Thus, to enhance the efficiency of the photovoltaic (PV) systems, maximum power point tracking (MPPT) of the solar arrays is needed.The output of solar arrays mainly depends on solar irradiance and temperature. The mi

APA, Harvard, Vancouver, ISO, and other styles

26

Alanazi, Abdulaziz, Mohana Alanazi, Saber Arabi, and Shiplu Sarker. "A New Maximum Power Point Tracking Framework for Photovoltaic Energy Systems Based on Remora Optimization Algorithm in Partial Shading Conditions." Applied Sciences 12, no. 8 (2022): 3828. http://dx.doi.org/10.3390/app12083828.

Full text

Abstract:

In this paper, a new maximum power point tracking (MPPT) framework for photovoltaic (PV) systems is presented based on the remora optimization algorithm (ROA) subjected to standard and partial shading conditions. The studied system includes a PV array, a DC/DC converter, and a load and MPPT control system. The control variable is the voltage, and the optimization variable is the converter duty cycle, which is optimally determined using the ROA that is inspired based on the parasitic behavior of remora for achieving the maximum power of the PV system. In this study, the ability of the ROA is co

APA, Harvard, Vancouver, ISO, and other styles

27

Abdelsattar, Montaser, Hamdi Ali Mohamed, Mohamed A. Ismeil, and Ahmed A. Zaki Diab. "Maximum power point tracking of photovoltaic module based on Particle Swarm Optimization enhanced with Quasi-Newton method." PLOS One 20, no. 7 (2025): e0327542. https://doi.org/10.1371/journal.pone.0327542.

Full text

Abstract:

Maximum Power Point Tracking (MPPT) is a promising technology for extracting peak power from single or multiple solar modules for improving Photovoltaic (PV) system performance and satisfying economic operation. The tracker should continuously follow the MPP of the PV module at all operating and weather conditions. The Particle Swarm Optimization (PSO) algorithm represents a powerful optimal MPP tracker due to its simplicity and has enhanced greatest exploration characteristics. This article proposes a new technique based on PSO enhanced with Quasi-Newton local search for improving power quali

APA, Harvard, Vancouver, ISO, and other styles

28

Malarvizhi, E., J. Kamala, and A. Sivasubramanian. "A novel particle swarm optimization algorithm for maximum power point tracking based photovoltaic system." Journal of Electrical Engineering 21, no. 3 (2021): 24–34. http://dx.doi.org/10.59168/rvpc8947.

Full text

Abstract:

In recent years, solar energy is effectively utilized as an alternate energy source for generating electricity. Maximum Power Point Tracking(MPPT) is applied to the photovoltaic (PV) system to extract maximum power (MP). Numerous algorithms are developed and implemented to extract the MP under varying environmental conditions. One such algorithm is the Particle Swarm Optimization algorithm(PSO).This article introduces a novel PSO algorithm with Cauchy distribution to track MP from the PV system. It is designed to overcome the drawback of slow convergence rate of conventional PSO. Parameters re

APA, Harvard, Vancouver, ISO, and other styles

29

S., Louarem, Z. Kebbab F., Salhi H., and Nouri H. "A comparative study of maximum power point tracking techniques for a photovoltaic grid-connected system." Electrical Engineering & Electromechanics, no. 4 (July 8, 2022): 27–33. https://doi.org/10.20998/2074-272X.2022.4.04.

Full text

Abstract:

<strong><em>Purpose. </em></strong><em>In recent years, the photovoltaic system<strong>s</strong> (PV) become popular due to several advantages among the renewable energy. Tracking maximum power point in PV systems is an important task and represents a challenging issue to increase their efficiency. Many different maximum power point tracking (MPPT) control methods have been proposed to adjust the peak power output and improve the generating efficiency of the PV system connected to the grid. <strong>Methods. </strong>This paper presents a Beta technique based MPPT controlle

APA, Harvard, Vancouver, ISO, and other styles

30

A. Alturki, Fahd, Abdullrahman A. Al-Shamma’a, and Hassan M. H. Farh. "Simulations and dSPACE Real-Time Implementation of Photovoltaic Global Maximum Power Extraction under Partial Shading." Sustainability 12, no. 9 (2020): 3652. http://dx.doi.org/10.3390/su12093652.

Full text

Abstract:

Under partial shading conditions (PSCs), solar photovoltaic (PV) energy systems generate multiple peaks; one global peak (GP) and several local peaks (LPs). Thus, tracking the GP of the PV systems under PSCs is necessary to enhance the system reliability and efficiency. Conventional maximum power point tracker (MPPT) algorithms are capable of tracking the unique peak under uniform conditions but they fail to track the GP under PSCs. To the best of our knowledge, this paper represents the first study that introduces a comprehensive comparison of three efficient maximum power point tracker (MPPT

APA, Harvard, Vancouver, ISO, and other styles

31

Güvenç, Nazlıcan, Abdil Karakan, and Yüksel Oğuz. "MPPT Method Supported by Particle Swarm Optimization for Increasing Power Efficiency in Solar Energy Systems." International Scientific and Vocational Studies Journal 9, no. 1 (2025): 161–72. https://doi.org/10.47897/bilmes.1705067.

Full text

Abstract:

With the increasing global interest in renewable energy sources, enhancing the power generation capacity of photovoltaic (PV) systems has become a critical research focus. Due to the continuously changing environmental conditions such as solar irradiance and temperature accurate and real-time tracking of the Maximum Power Point (MPP) is essential for efficient energy conversion. In this study, a Particle Swarm Optimization (PSO)-based approach is proposed to improve the accuracy and response speed of the Maximum Power Point Tracking (MPPT) process. Compared to conventional MPPT algorithms, the

APA, Harvard, Vancouver, ISO, and other styles

32

Mammeri, E., A. Ahriche, A. Necaibia, and A. Bouraiou. "New MPPT Hybrid Controller based on Genetic Algorithms and Particle Swarm Optimization for Photovoltaic Systems." International Journal of Circuits, Systems and Signal Processing 17 (March 6, 2023): 83–91. http://dx.doi.org/10.46300/9106.2023.17.10.

Full text

Abstract:

Traditional Maximum Power Point Tracking (MPPT) techniques are unable to reach high performance in photovoltaic (PV) system under partial shading conditions because of the multi-peaks present in the Power-Voltage curve. For that, particle Swarm Optimization (PSO) and genetic algorithms (GA) have been combined in recent years. However, these algorithms demonstrate some drawbacks in tracking accuracy and convergence rates, which impair control performance. In this paper, a new controller based on hybridization of PSO and GA is introduced to track the global maximum power point (GMPP). The propos

APA, Harvard, Vancouver, ISO, and other styles

33

Hayder, Wafa, Emanuele Ogliari, Alberto Dolara, Aycha Abid, Mouna Ben Hamed, and Lasaad Sbita. "Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions." Energies 13, no. 8 (2020): 2035. http://dx.doi.org/10.3390/en13082035.

Full text

Abstract:

This paper deals with the implementation and analysis of a new maximum power point tracking (MPPT) control method, which is tested under variable climatic conditions. This new MPPT strategy has been created for photovoltaic systems based on Particle Swarm Optimization (PSO). The novel Improved Particle Swarm Optimization (IPSO) algorithm is tested in several simulations which have been implemented in view of the various system responses such as: voltage, current, and power. The performances of the proposed IPSO algorithm have been completed and compared with results of well-established methods

APA, Harvard, Vancouver, ISO, and other styles

34

Sireesha, A., Babu B. Mahesh, and K. Ravindra. "An advanced MPPT algorithm for PV systems to track GMPP under PSC condition." i-manager's Journal on Circuits and Systems 10, no. 2 (2022): 35. http://dx.doi.org/10.26634/jcir.10.2.18857.

Full text

Abstract:

Growing demand for energy and concerns about environmental pollution has increased the use of renewable energy sources for electricity generation. Among all the renewable energy sources, solar energy is considered the most popular because of its huge benefits. This paper addresses two different problems with using photovoltaic (PV) systems in different applications. One of which is poor tracking performance, especially under partially shaded conditions (PSC). Therefore for global maximum power point (GMPP) tracking, a swarm intelligence-based maximum power point tracking (MPPT) method is used,

APA, Harvard, Vancouver, ISO, and other styles

35

Pradhan, Chittaranjan, Manoj Kumar Senapati, Nicholas Kakra Ntiakoh, and Rajnish Kaur Calay. "Roach Infestation Optimization MPPT Algorithm for Solar Photovoltaic System." Electronics 11, no. 6 (2022): 927. http://dx.doi.org/10.3390/electronics11060927.

Full text

Abstract:

Solar photovoltaic (PV) power has several advantages such as free availability, absence of rotating parts, can be easily integrated with building architecture, and need little maintenance. However, the PV cell current–voltage (I–V) characteristics are non-linear and power generated from a PV array depends on solar insolation/irradiation and panel temperature. The extracted PV output power is influenced by the accuracy with which the nonlinear power–voltage (P–V) characteristic curve is traced by the maximum power point tracking (MPPT) controller. In this paper, a bio-inspired roach infestation

APA, Harvard, Vancouver, ISO, and other styles

36

Sathisha, Abdul Kareem , Ganesh Aithal. "Particle Swarm Optimization Based Super Twisting Sliding Mode Controller MPPT Algorithm Design for Solar PV System." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 4003–15. http://dx.doi.org/10.52783/tjjpt.v44.i4.1598.

Full text

Abstract:

To maximise energy harvest while keeping the solar photovoltaic (PV) system stable, proper regulation is essential. In this study, we explore the state-of-the-art in solar PV system management and offer a fresh method: Super Twisting Sliding Mode Controller (STSMC) using Particle Swarm Optimisation (PSO). The suggested method enhances control performance by combining the stability of Sliding Mode Control (SMC) with the optimisation skills of PSO. The goal is to improve solar PV systems' fault tolerance, resilience against uncertainties and disturbances, and Maximum Power Point Tracking (MPPT)

APA, Harvard, Vancouver, ISO, and other styles

37

Nasikkar, Paresh S., and Chandrakant D. Bhos. "Cuckoo Search Based Approach Towards Maximum Power Point Tracking for Solar Photovoltaic System Under Partial Shading." Journal of Computational and Theoretical Nanoscience 16, no. 8 (2019): 3338–45. http://dx.doi.org/10.1166/jctn.2019.8189.

Full text

Abstract:

Extracting the maximum power from as solar PV system is a critical task when high changes in light intensity or Partial Shading Condition (PSC) are experienced. The latter case is more difficult as it creates multiple maxima points on P–V curve. In this way, it is obligatory to thoroughly pick a precise Maximum Power Point Tracking (MPPT) method which recognizes adequately the Global Maximum Power Point (GMPP) and tracks it under partial shading. This paper first describes the modeling of PV module and PV characteristics under uniform irradiance as well as effect of PSC on PV characteristics.

APA, Harvard, Vancouver, ISO, and other styles

38

K, Rajesh Kumar, R. Sripriya, and S. K. Bikshapathy. "Optimizing MPPT Extraction in Hybrid Energy Systems Using an Adaptive PSO Topology." International Journal of Electrical and Electronics Research 13, no. 2 (2025): 364–70. https://doi.org/10.37391/ijeer.130221.

Full text

Abstract:

In both solar and wind energy systems, Maximum Power Point Tracking (MPPT) plays a crucial role in maximizing energy extraction and optimizing overall system efficiency. The concept of MPPT revolves around continuously adjusting the operating conditions of the renewable energy source to ensure that it operates at its MPP under varying environmental conditions. In solar photovoltaic (PV) systems, MPPT is essential due to the non-linear relationship between the voltage and current output of solar panels. This non-linearity arises from factors such as temperature variations, shading, and changes

APA, Harvard, Vancouver, ISO, and other styles

39

Zaghba, Layachi, Messaouda Khennane, Abdelhalim Borni, and Amor Fezzani. "Intelligent PSO-Fuzzy MPPT approach for Stand Alone PV System under Real Outdoor Weather Conditions." Algerian Journal of Renewable Energy and Sustainable Development 03, no. 01 (2021): 1–12. http://dx.doi.org/10.46657/ajresd.2021.3.1.1.

Full text

Abstract:

This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditions based on PSO fuzzy optimization approach. The PV system consists of a PV array of 6 kWp, DC-DC boost converter, PSO fuzzy MPPT control and resistive Load. In this paper, an efficient maximum power point tracking method based on combining the strengths of fuzzy maximum approach and Particle Swarm Optimization to optimize fuzzy gain. The photovoltaic PV system has been simulated using MATLAB/SIMULINK to validate the effectiveness of the proposed MPPT. It can be concluded that the proposed method c

APA, Harvard, Vancouver, ISO, and other styles

40

Shaqarin, Tamir. "Particle Swarm Optimization with Targeted Position-Mutated Elitism (PSO-TPME) for Partially Shaded PV Systems." Sustainability 15, no. 5 (2023): 3993. http://dx.doi.org/10.3390/su15053993.

Full text

Abstract:

In partial shading situations, the power–voltage (P–V) characteristics of photovoltaic (PV) systems become more complex due to many local maxima. Hence, traditional maximum power point tracking (MPPT) techniques fail to recognize the global maximum power point (MPP), resulting in a significant drop in the produced power. Global optimization strategies, such as metaheuristic approaches, efficiently address this issue. This work implements the recent “particle swarm optimization through targeted position-mutated elitism” (PSO-TPME) with a reinitialization mechanism on a PV system under partial s

APA, Harvard, Vancouver, ISO, and other styles

41

Aripriharta, Aripriharta, Triawan Waskita Bayuanggara, Irham Fadlika, et al. "Comparison of queen honey bee colony migration with various MPPTs on photovoltaic system under shaded conditions." EUREKA: Physics and Engineering, no. 4 (July 27, 2023): 52–62. http://dx.doi.org/10.21303/2461-4262.2023.002836.

Full text

Abstract:

Shaded conditions cause a decrease in the performance of photovoltaic (PV) systems. In this situation, the power versus voltage curve shows two maximum power points, namely local (LMPP) and global (GMPP). The main challenge for extracting the maximum power from a PV system during shading conditions is the existence of a false maximum or LMPP along with a true maximum or GMPP. Traditional maximum power point tracking (MPPT) has faced hurdles in overcoming the situation. Therefore, this paper describes the implementation of Queen Honey Bee Migration (or QHBM for short) to track GMPP of PV system

APA, Harvard, Vancouver, ISO, and other styles

42

Ahmed, Mostafa, Ibrahim Harbi, Ralph Kennel, and Mohamed Abdelrahem. "Maximum Power Point Tracking Implementation under Partial Shading Conditions Using Low-Cost Photovoltaic Emulator." Eng 3, no. 4 (2022): 424–38. http://dx.doi.org/10.3390/eng3040031.

Full text

Abstract:

Maximum power point tracking (MPPT) is a pivotal objective for photovoltaic (PV) systems. To test various MPPT techniques, a reliable and effective PV emulator is required. Therefore, this article proposes a low-cost PV emulator for partial shading conditions, in which a cascaded structure of a DC power source with a resistor is constructed to generate the multiple peaks of the power-voltage (P-V) curve. The proposed structure is simple and modular. Consequently, it can be extended to obtain several peaks in the P-V characteristics to emulate more complex partial shading conditions. The partia

APA, Harvard, Vancouver, ISO, and other styles

43

Puttalingaiah, Yoganandini Arehalli, and Anitha Gowda Shesadri. "A cost-effective and optimized maximum powerpoint tracking system for the photovoltaic model." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 5 (2023): 4942. http://dx.doi.org/10.11591/ijece.v13i5.pp4942-4949.

Full text

Abstract:

<span lang="EN-US">Solar energy is naturally available from sun, and it can be extracted by using a photovoltaic (PV) cell. However, solar energy extraction entirely depends on the climatic conditions and angle of rays falling on PV cells. Hence, maximum powerpoint tracking (MPPT) is considered in most areas under variable climatic conditions, which acts as a controller unit for PV cells. MPPT can enhance the efficiency of PV cells. However, designing an MPPT model is challenging as different uncertainties in the climatic condition may lead to more fluctuations in voltage and current in

APA, Harvard, Vancouver, ISO, and other styles

44

M., Atig, Miloud Y., and Merah A. "A novel optimization of the particle swarm based maximum power point tracking for photovoltaic systems under partially shaded conditions." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 3 (2021): 1795–803. https://doi.org/10.11591/ijpeds.v12.i3.pp1795-1803.

Full text

Abstract:

When the irradiance distribution over the photovoltaic panels is uniform, the pursuit of the maximum power point is not reached, which has allowed several researchers to use traditional MPPT techniques to solve this problem Among these techniques a PSO algorithm is used to have the maximum global power point (GMPPT) under partial shading. On the other hand, this one is not reliable vis-à-vis the pursuit of the MPPT. Therefore, in this paper we have treated another technique based on a new modified PSO algorithm so that the power can reach its maximum point. The PSO algorithm is based on

APA, Harvard, Vancouver, ISO, and other styles

45

Gurram, Janardhan, N. N. V. Surendra Babu, and G. N. Srinivas. "Optimized MPPT for Grid tied Transformer Less PV System: A Comparative Analysis." E3S Web of Conferences 547 (2024): 02007. http://dx.doi.org/10.1051/e3sconf/202454702007.

Full text

Abstract:

For grid-tied photovoltaic (PV) systems, Maximum Power Point Tracking (MPPT) algorithms based on artificial neural networks (ANNs) are prone to initialization issues, which could cause them to converge at local maxima rather than the global maximum power point (MPP). This means that, a regular retraining on big datasets is required. This paper presents a novel hybrid MPPT algorithm that combines Extreme Gradient Boosting (XGBoost) and Vascular Invasive Growth Optimization (VIGO) to address this challenge. The exploration-exploitation conundrum that traditional optimization algorithms have is a

APA, Harvard, Vancouver, ISO, and other styles

46

Elbar, Mohamed Korich Belkacem Bakria Derradji Teta Ali Beladel Abdelkader Dourari Ahmed Lamine. "PARTICLE SWARM OPTIMIZATION-BASED MPPT TECHNIQUE UNDER PARTIAL SHADING FOR PHOTOVOLTAIC SYSTEMS." Journal of Data Acquisition and Processing 38, no. 2 (2023): 878–88. https://doi.org/10.5281/zenodo.7816956.

Full text

Abstract:

Partial shading is a common problem in photovoltaic (PV) systems, and is notoriously difficult to solve. To address this issue, multiple approaches have been made. This paper proposes the use of the metaheuristic optimization method, PARTICLE SWARM OPTIMIZATION (PSO), to track the multiple-peak P–V curve in PV systems under partial shading conditions (PSCs). The results of the PSO algorithm were found to be very fast, reliable, and precise in normal conditions, PSCs, and changes in irradiance. Furthermore, the PSO algorithm was shown to have a significant improvement in performance when

APA, Harvard, Vancouver, ISO, and other styles

47

Odo, Matthew Chinedu, and Emenike Chinedozi Ejiogu. "Particle swarm optimization based sliding mode control for maximum power point tracking in solar PV systems." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 892. http://dx.doi.org/10.11591/ijpeds.v15.i2.pp892-901.

Full text

Abstract:

One of the most significant renewable energies is photovoltaic (PV) energy, however it has a low efficiency due to its variable maximum power point that depends on weather conditions. In order to guarantee the system's best performance, intelligent algorithms can effectively track this point in real-time utilizing the maximum power point tracking (MPPT) method. Consequently, it is crucial to maximize the use of the solar energy that has been captured as well as the PV system's generated electricity. Variations in solar irradiance affects the amount of electric energy obtained from solar arrays

APA, Harvard, Vancouver, ISO, and other styles

48

Odo, Matthew Chinedu, and Emenike Chinedozi Ejiogu. "Particle swarm optimization based sliding mode control for maximum power point tracking in solar PV systems." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 892–901. https://doi.org/10.11591/ijpeds.v15.i2.pp892-901.

Full text

Abstract:

One of the most significant renewable energies is photovoltaic (PV) energy, however it has a low efficiency due to its variable maximum power point that depends on weather conditions. In order to guarantee the system's best performance, intelligent algorithms can effectively track this point in real-time utilizing the maximum power point tracking (MPPT) method. Consequently, it is crucial to maximize the use of the solar energy that has been captured as well as the PV system's generated electricity. Variations in solar irradiance affects the amount of electric energy obtained from solar arrays

APA, Harvard, Vancouver, ISO, and other styles

49

Liu, Chun Xia, and Li Qun Liu. "Particle Swarm Optimization MPPT Method for PV Materials in Partial Shading." Advanced Materials Research 321 (August 2011): 72–75. http://dx.doi.org/10.4028/www.scientific.net/amr.321.72.

Full text

Abstract:

Today, the large-scale Photovoltaic (PV) power system, connected to grid, is in their advanced development stage and is extremely interest in whole world. The real large-scale PV array can be partially shaded by the shadow of building, cloud, bird and dirt. The output characteristic of PV materials in partially shaded conditions is strong nonlinear, and there are multi local peaks in output power voltage curve, and the only one real peak exists in these local peaks. Certainly, the maximum power point tracking (MPPT) method is very important to extract the as much as possible energy from the co

APA, Harvard, Vancouver, ISO, and other styles

50

Barnam, Jyoti Saharia, and Sarmah Nabin. "A comparative assessment of popular tracking algorithms used in standalone photovoltaic systems." International Journal of Power Electronics and Drive Systems 14, no. 3 (2023): 1834~1843. https://doi.org/10.11591/ijpeds.v14.i3.pp1834-1843.

Full text

Abstract:

Working performance of a PV module or array is largely reliant on climate (temperature/irradiation) and is also non-linear. Maximum power point tracking (MPPT) must be used to guarantee that the PV array generates the greatest electricity under any conditions. Researchers have proposed many approaches to track peak performance. There are benefits and drawbacks to every approach. Some approaches might be difficult to apply, while others provide erroneous results. MPPT boosts photovoltaic (PV) system efficiency and electricity output. Current research focuses on designing, developing, and using

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!