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Journal articles on the topic 'Perturb and observe algorithm'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

G., Mahalakshmi, Maladhi D., Manochitra G., and Bhavatharini T. "Energy Efficient Perturb and Observe MPPT Algorithm for PV Application." Bonfring International Journal of Industrial Engineering and Management Science 8, no. 1 (2018): 12–18. http://dx.doi.org/10.9756/bijiems.8361.

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Awan, Muhammad Mateen Afzal. "Strategic Perturb and Observe Algorithm for Partial Shading Conditions." Sir Syed University Research Journal of Engineering & Technology 12, no. 2 (2022): 26–32. http://dx.doi.org/10.33317/ssurj.497.

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Solar photovoltaic (PV) is the cheapest renewable resource of electrical energy. Its dependence on the connected load bounds its production capability. To deliver the determined power, it is required to operate at the maximum power point (MPP) in the characteristic curve of the PV array. Tracking the MPP requires electronic circuits govern by MPP tracking (MPPT) algorithms. The most simple, cheap, and softly implementable MPPT algorithm is “Perturb and Observe (P&O)”. It efficiently performs under uniform weather conditions (UWC) but fails under partial shading conditions (PSC) due to the

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3

Syahputra, Ramadoni. "Modified Perturb and Observe Approach in MPPT for a Standalone Photovoltaic System." Journal of Electrical Technology UMY 6, no. 2 (2022): 112–18. http://dx.doi.org/10.18196/jet.v6i2.18354.

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This paper proposes a modified perturb and observe algorithm approach to increase the output power of an independent photovoltaic system. Today, photovoltaic application as renewable energy power plant has been prevalent. This popularity is because photovoltaic power plants are easy to apply on-grid and off-grid schemes. In standalone power generation applications, the increased photovoltaic output power is of great help to users as it contributes to increasing overall system efficiency. The perturb and observe algorithm has been known as a reliable and inexpensive method. However, the perform

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Zulhelmi, Taufik Alfajri. "Comparisonal Analysis Of Incremental Conductance And Perturb And Observe Methods As MPPT Algorithm In Photovoltaic System." Jurnal Mekintek : Jurnal Mekanikal, Energi, Industri, Dan Teknologi 12, no. 1 (2021): 17–22. http://dx.doi.org/10.35335/mekintek.v12i1.23.

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Photovoltaic is a semiconductor device that utilizes photon energy from the sun to be converted into electrical energy. The electrical energy produced by photovoltaic is optimized by a system called Maximum Power Point Tracking (MPPT). MPPT will find the optimal working point of the photovoltaic and keep it always working at that point. In this study, the methods used to find the optimal work point are Incremental Conductance and Perturb and Observe. MPPT is connected to the Boost Converter as a photovoltaic voltage controller. The analysis of the two MPPT methods was carried out through simul

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R, Selvakumar, M. Sujatha, and S. Palanikumar. "ROAC: Recursive optimization of Ant colony assisted perturb and observe for a photo voltaic resonant boost converter." International Journal of Engineering & Technology 7, no. 1.3 (2017): 150. http://dx.doi.org/10.14419/ijet.v7i1.3.10661.

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This paper introduces a new Hybrid MPPT algorithm by combining new Ant Colony Optimization (ACO) and Perturb & Observe (P&O) method. The maximum power from a solar panel is extracted from all conditions like solar irradiance variation, temperature variation and partial shading conditions. Ant Colony Optimization (ACO) method tracks maximum power from panel under all variations and Perturb & Observe algorithm used in final stage to achieve faster MPP tracking. This proposed algorithm is implemented both in Simulink and hardware. A 5kWp grid connected solar photovoltaic power plant i

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Popescu, S. "AN IMPROVED PERTURB AND OBSERVE MPPT ALGORITHM WITH VARIABLE STEP." Scientific Bulletin of Electrical Engineering Faculty 18, no. 1 (2018): 1–4. http://dx.doi.org/10.1515/sbeef-2017-0014.

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Abstract The algorithm for maximum power point tracking (MPPT) using a fixed is widely used because of its simplicity and easyness to implement. This paper presents an improvement consisting in a variable step (VS) applied to the standard Hill Climbing MPPT technique to improve both accuracy and tracking speed. Drawbacks will still be encountered in VS tracking algorithms, between response time and power oscillation.

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Hussain, Attia, and Ulusoy Suleyman. "A new perturb and observe MPPT algorithm based on two steps variable voltage control." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 4 (2021): 2201–8. https://doi.org/10.11591/ijpeds.v12.i4.pp2201-2208.

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Based on the fact that the effectiveness of perturb and observe algorithm in a maximum power point tracking maximum power point tracking (MPPT) in a photovoltaic array is a tradeoff between the tracking speed during the transient response and the oscillation around the stable level during the steady state response. To have a high tracking speed, incremental step should be high, but this high incremental step increases the oscillation level around the steady level of MPPT, whereas adopting low incremental step reduces the algorithm response time but improve the response during the steady state

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8

H.Mahmood, Mohanad, Inaam I. Ali ‎, and Oday A. Ahmed ‎. "Comparative Study of Perturb & Observe, Modified Perturb & Observe and Modified Incremental Conductance MPPT Techniques for PV Systems." Engineering and Technology Journal 38, no. 4A (2020): 478–90. http://dx.doi.org/10.30684/etj.v38i4a.329.

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This paper presents a modified maximum power point tracking algorithm (Modified MPPT) for PV systems based on incremental ‎conductance (IC) algorithm. This method verified with the dynamic irradiance and sudden change of irradiance, the ‎comparisons ‎with ‎conventional methods, for example, the perturbation and observation (P&O) and Modified perturbation and observation ‎‎ (Modified P&O) were performed. A photovoltaic (PV) panel was simulated and tested using MATLAB/Simulink ‎based on PV ‎panel ‎at Power Electronics Laboratory. The results show ‎that this ‎method ‎capable to find the m

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Kumari, J. Surya, and Ch Saibabu. "Maximum Power Point Tracking Algorithms for Grid-Connected Photovoltaic Energy Conversion System." International Journal of Power Electronics and Drive Systems (IJPEDS) 3, no. 4 (2013): 424. http://dx.doi.org/10.11591/ijpeds.v3.i4.pp424-437.

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<p class="Default">As the use of energy is increasing, the requirements for the quality of the supplied electrical energy are more tighten. Energy is the most basic and essential of all resources. As conventional sources of energy are rapidly depleting and the cost of energy is rising, photovoltaic energy becomes a promising alternative source. Photovoltaic (PV) generation is becoming increasingly important as a renewable source since it exhibits a great many merits such as cleanness, little maintenance and no noise. The output power of PV arrays is always changing with weather condition

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10

Attia, Hussain, and Suleyman Ulusoy. "A new perturb and observe MPPT algorithm based on two steps variable voltage control." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 4 (2021): 2201. http://dx.doi.org/10.11591/ijpeds.v12.i4.pp2201-2208.

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Based on the fact that the effectiveness of perturb and observe algorithm in a maximum power point tracking maximum power point tracking (MPPT) in a photovoltaic array is a tradeoff between the tracking speed during the transient response and the oscillation around the stable level during the steady state response. To have a high tracking speed, incremental step should be high, but this high incremental step increases the oscillation level around the steady level of MPPT, whereas adopting low incremental step reduces the algorithm response time but improve the response during the steady state

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11

Rohini, G., Venkatesan Jamuna, M. Abirami, and R. Ramprakash. "Modeling of Photovoltaic Array and Simulation of MPPT Algorithm." Advanced Materials Research 768 (September 2013): 23–28. http://dx.doi.org/10.4028/www.scientific.net/amr.768.23.

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Maximum power point tracking techniques are used in photovoltaic systems to make best use of the photovoltaic array output power. Maximum power point depends on the temperature and irradiance conditions. Perturb and observe method is considered here. This method is widely used because of its low-cost and ease of implementation. The simulation of photovoltaic array modeling & Perturb & Observe method have been carried out in this paper.

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Peng, Lele, Wei Xu, Liming Li, and Shubin Zheng. "An Improved Perturb and Observe Algorithm for Photovoltaic Motion Carriers." IOP Conference Series: Materials Science and Engineering 322 (March 2018): 072028. http://dx.doi.org/10.1088/1757-899x/322/7/072028.

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MST, ISHRAT JAHAN, SABBER AHAMMED MD, and AMIR SHOHEL MD. "MPPT for PV Array Modeling using Perturb and Observe Algorithm." International Journal of Innovative Science and Research Technology 7, no. 5 (2022): 494–505. https://doi.org/10.5281/zenodo.8238552.

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Solar energy is an endless, clean, and renewable energy source, yet only a small portion of it is used to directly power human activities. Various types of renewable energy, including the most significant, solar energy, have been addressed. Solar modules are devices that convert sunlight directly into electricity. The maximum power of photovoltaic systems is critical for the system's practical usage. A solar array model was created with the help of MATLAB. The Matlab simulation shows that at different irradiance levels and temperatures. The Matlab simulink photovoltaic array model is evalu

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14

Martinez Lopez, Victor, Ugnė Žindžiūtė, Hesan Ziar, Miro Zeman, and Olindo Isabella. "Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm." Energies 15, no. 20 (2022): 7562. http://dx.doi.org/10.3390/en15207562.

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Irradiance variability is one of the main challenges for using photovoltaic energy. This variability affects the operation of maximum power point trackers (MPPT) causing energy losses. The logic of the Perturb-and-Observe MPPT algorithm is particularly sensitive to quick irradiance changes. We quantified the existing relation between irradiance variations and efficiency loss of the logic of the Perturb-and-Observe MPPT algorithm, along with the sensitivity of the MPPT to its control parameters. If the algorithm parameters are not tuned properly, its efficiency will drop to nearly 2%. Irradianc

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Elzein, I., and Yu N. Petrenko. "An Adaptive Maximum Power Output Sustaining System for a Photovoltaic Power Plant Based on a Robust Predictive Control Approach." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 63, no. 5 (2020): 441–49. http://dx.doi.org/10.21122/1029-7448-2020-63-5-441-449.

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Photovoltaic power plants have non-linear voltage-current characteristic, with specific maximum power point, which depends on operating conditions, viz. irradiation and temperature. In targeting the maximum power, it is by far known that the photovoltaic arrays have to operate at the maximum power point despite unpredicted weather changes. For this reason the controllers of all photovoltaic power electronic converters employ some method for maximum power point tracking. This paper makes an emphasis on model predictive controller as a control method for controlling the maximum power point track

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16

Vadivel, Srinivasan, Sridhar Ramasamy, Suresh Mikkili, et al. "Hybrid Social Grouping Algorithm-Perturb and Observe Power Tracking Scheme for Partially Shaded Photovoltaic Array." International Journal of Energy Research 2023 (September 22, 2023): 1–18. http://dx.doi.org/10.1155/2023/9905979.

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This research work emphasizes proposing a hybrid social grouping algorithm (SGA) and perturb and observe (P&O) scheme for tracking the global power peak in a partially shaded photovoltaic (PV) array. PV panels getting shaded, even partially, exhibits multiple power peaks, and hence conventional maximum power point tracking (MPPT) algorithms fail in tracking the maximum power peak as it gets deceived by local maxima. Most of the prevailing global search algorithms suffer in performance due to the stochastic search which consumes time even after nearing the global power peak. Therefore, a hy

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17

Verma, Richa, B. Bhargav, and Srinivasa Varma P. "Comparison of Different MPPT Algorithms for PV System." International Journal of Engineering & Technology 7, no. 1.8 (2018): 158. http://dx.doi.org/10.14419/ijet.v7i1.8.11539.

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This paper helps us analyze three different MPPT techniques like Perturb and Observe, Incremental Conductance and Particle Swarm Optimization method. As the output characteristic depends on temperature and irradiance, therefore the maximum power point (MPPT) is not always constant. Hence it is necessary to ensure that the PV panel is operating at its maximum power point. There are many different MPPT techniques but, the confusion lies in selecting which MPPT technique is best as every algorithm has its own merit and demerit. In order to extract maximum power from PV arrangement, PSO algorithm

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18

Zulkifli and Asnil. "Modifikasi Algortma MPPT untuk Meningkatkan Kinerja Sistem PLTS." MSI Transaction on Education 5, no. 3 (2024): 163–74. https://doi.org/10.46574/mted.v5i3.147.

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Maximum Power Point Tracking (MPPT) merupakan teknik untuk memaksimalkan daya dari photovoltaic. MPPT algoritma perturb and observe adalah metode yang banyak digunakan dan cukup sederhana. Metode (P&O) memiliki keterbatasan meningatkan efisiensi dan memiliki masalah osilasi, kecepatan pelacakan titik daya maksimum, konvergensi terutama saat mengalami perubahan kondisi atau radiasi cepat. Penelitian ini dilakukan untuk melihat kinerja algoritma perturb and observe dan melakukan modifikasi untuk meningkatkan kinerjanya mengatasi osilasi, konvergensi, efesiensi pelacakan serta kecepatan pelac

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19

Piegari, L., and R. Rizzo. "Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking." IET Renewable Power Generation 4, no. 4 (2010): 317. http://dx.doi.org/10.1049/iet-rpg.2009.0006.

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20

Kudakunti, Prof Savita S., and Dr Vijay Kumar C. N. "Optimized Perturb and Observe Techniques for Sudden Irradiance and Temperature Change." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 1319–24. http://dx.doi.org/10.22214/ijraset.2024.59070.

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Abstract: Solar Power generation plays vital role in RES due to its natural abundance and environment friendly. The efficiency of the PV System depends on the more optimized MPPT Technique. Several methods for extracting GMPP are discussed that works better on steady state oscillations and fast tracking time. In this paper all recent techniques for MPPT are discussed and more efficient algorithm and simple in approach is revealed. This paper tries to find more efficient algorithm with fast tracking speed and optimized duty cycle.

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Mejeed, Raghad Ali. "Designing Smart Perturb and Observe MPPT Controller for 150W Off-Grid PV System." International Journal of Electrical and Electronics Research 13, no. 2 (2025): 371–80. https://doi.org/10.37391/ijeer.130222.

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Studying the introduction design of a stand-alone solar photovoltaic (PV) system with a disturbance-and-observation (P&O)-based algorithm for maximum power point tracking (MPPT) is an important topic for improving the performance of solar energy systems. The efficient energy system is designed by using solar photovoltaic panels consisting of a number of cells, using P and O algorithms for effective tracking of maximum power, and performing comparative analysis using the traditional model without the MPPT algorithm. In this approach, the terminal voltage of the photovoltaic cell is always s

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Windarko, Novie Ayub, Evi Nafiatus Sholikhah, Muhammad Nizar Habibi, et al. "Hybrid photovoltaic maximum power point tracking of Seagull optimizer and modified perturb and observe for complex partial shading." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 4571. http://dx.doi.org/10.11591/ijece.v12i5.pp4571-4585.

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<span>Due to natural randomness, partial shading conditions (PSCs) to photovoltaic (PV) power generation significantly drop the power generation. Metaheuristic based maximum power point tracking (MPPT) can handle PSCs by searching PV panels’ global maximum power point (GMPP). However, trapped at local maxima, sluggishness, continuous power oscillations around GMPP and inaccuracy are the main disadvantages of metaheuristic algorithm. Therefore, the development of algorithm under complex PSCs has been continuously attracting many researchers to yield more satisfying results. In this paper,

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Novie, Ayub Windarko, Nafiatus Sholikhah Evi, Nizar Habibi Muhammad, et al. "Hybrid photovoltaic maximum power point tracking of Seagull optimizer and modified perturb and observe for complex partial shading." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 4571–85. https://doi.org/10.11591/ijece.v12i5.pp4571-4585.

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Due to natural randomness, partial shading conditions (PSCs) to photovoltaic (PV) power generation significantly drop the power generation. Metaheuristic based maximum power point tracking (MPPT) can handle PSCs by searching PV panels’ global maximum power point (GMPP). However, trapped at local maxima, sluggishness, continuous power oscillations around GMPP and inaccuracy are the main disadvantages of metaheuristic algorithm. Therefore, the development of algorithm under complex PSCs has been continuously attracting many researchers to yield more satisfying results. In this paper, sever

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Hien, Bui Van, Truong Viet Anh, Nguyen Tung Linh, and Pham Quoc Khanh. "Rapidly Determine the Maximum Power Point in the Parallel Configuration of the Photovoltaic System." Sensors 23, no. 17 (2023): 7503. http://dx.doi.org/10.3390/s23177503.

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The maximum power point tracking (MPPT) solutions improve power generation efficiency, quickly stabilizing the output waveform of photovoltaic (PV) systems under variable operating conditions. Along with new algorithms, improved and adjusted methods to exploit energy from PV systems are increasingly being researched and proposed. However, the proposed solutions based on the traditional algorithms and their improvements have poor performance, while the advanced algorithms or hybrid methods bring high performance but need to be simplified, and the response speed is higher. Moreover, a suitable P

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Holand, Mwenyi, and Kakyegyema Simera. "Comprehensive Review of the Development and Fabrication of a Hybrid MPPT Controller Using Fuzzy Logic and Perturb & Observe techniques for High-Efficiency PV Systems." IDOSR JOURNAL OF SCIENCE AND TECHNOLOGY 11, no. 1 (2025): 1–9. https://doi.org/10.59298/idosr/jst/25/111.19000.

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Photovoltaic (PV) systems, essential for renewable energy generation, rely on Maximum Power Point Tracking (MPPT) algorithms to optimize energy extraction. The Perturb and Observe (P&O) algorithm, while popular for its simplicity, suffers from limitations such as slow response to irradiance fluctuations, steady-state oscillations, and suboptimal performance under dynamic conditions. Fuzzy Logic Control (FLC) offers adaptive capabilities, improving tracking accuracy and stability, but requires proper tuning to be effective. This paper proposes a hybrid MPPT controller that integrates P&

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Mrhar, Oumaima, Khalid Kandoussi, and Mohamed Eljouad. "A new hybrid MPPT algorithm combining P&O and fuzzy logic techniques." International Journal of Power Electronics and Drive Systems 16, no. 1 (2025): 497–508. https://doi.org/10.11591/ijpeds.v16.i1.pp497-508.

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This study introduces an innovative approach to maximum power point tracking (MPPT) in photovoltaic systems using a hybrid algorithm that combines perturb and observe (P&O) with fuzzy logic. The novelty of this work lies in the choice of input variables for the fuzzy controller, specifically dV and dP, which addresses significant challenges such as slow response to environmental condition variations and limited responsiveness under low solar irradiation. This method of MPPT is modified to make it particularly suitable for extracting peak power from photovoltaic systems. To evaluate the eff

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Abuzairi, Tomy, and Ralfi Wibowo Rachmad. "Simple Simulation of Perturb and Observe MPPT Algorithm on Synchronous Buck Converter." Buletin Ilmiah Sarjana Teknik Elektro 5, no. 4 (2023): 448–54. https://doi.org/10.12928/biste.v5i4.9347.

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The efficiency of the PV system can be improved by operating the solar panel on its Maximum Power Point (MPP). However, ariations in irradiance and temperature will lead to the shifting of solar panel MPP. To continuously operate the solar panel near its MPP, a tracking algorithm is needed. In this research, a model consisting of a synchronous buck converter and a Maximum Power Point Tracking (MPPT) algorithm will be designed as aMATLAB/Simulink model. Perturb and Observe technique will be used to implement the algorithm into the synchronous buck converter, which will control a 10 W solar pane

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Mohammad Nezam, Ahmad, and Yunus Yalman. "Novel Hybrid MPPT based on modified incremental conductance-grey wolf optimization for grid connected PV systems." International Journal of Energy Studies 10, no. 1 (2025): 1203–25. https://doi.org/10.58559/ijes.1643588.

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In recent years, the utilization of renewable energy sources has expanded significantly to mitigate the adverse effects associated with conventional energy sources, particularly carbon dioxide (CO₂) emissions. Due to the intermittent nature of the Photovoltaic (PV) system, the output power of the PV system fluctuates which affects the output power and power quality of the power system. Maximum power point tracking techniques (MPPT) are utilized to overcome efficiency and power quality problems. In this paper, a hybrid MPPT algorithm is proposed to improve efficiency and power quality for grid-

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Xie, Wei. "A Modified Perturb and Observe Algorithm in Photovoltaic Maximum Power Point Tracking System." Journal of Solar Energy Research Updates 11 (May 11, 2024): 18–22. http://dx.doi.org/10.31875/2410-2199.2024.11.03.

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Abstract: The power output of the photovoltaic (PV) array is nonlinear, and maximum power point tracking (MPPT) is required to boost the efficiency of solar energy generation. The traditional perturb and observe algorithm is frequently used, but it is difficult to comprehensively consider the tracking accuracy and response speed at the same time. Misjudgment occurs when the solar insolation changes drastically. In view of these shortcomings, this paper presents a variable step size threshold search algorithm. The modified algorithm can quickly track the maximum power point and restrain fluctua

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Hina N. Kadeval and V. K. Patel. "Maximum Power Point Tracking Charge Controller Using Modified Perturb and Observe Algorithm for Lead Acid Battery." Journal of Agricultural Engineering (India) 60, no. 3 (2023): 320–28. http://dx.doi.org/10.52151/jae2023603.1817.

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A study was undertaken on development of a modified perturb and observe algorithm for maximum power point tracking (MPPT) charge controller. This MPPT algorithm was developed in Matlab/Simulink environment, using three-state charging method for improved battery charging with higher efficiency. A buck topology was utilised as a DC-DC converter for charge controller implementation. The maximum power of the photovoltaic panel was tracked by a modified perturb and observe algorithm. The battery charge controller charged a lead-acid battery using a three- stage charging strategy including the bulk

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Dr., Deepthi Janyavula, and S. N. Saxena Dr. "Design and Implementation of Photovoltaic Distribution Static Compensator." International Journal of Innovative Science and Research Technology 8, no. 3 (2023): 456–61. https://doi.org/10.5281/zenodo.7758398.

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Solar photovoltaic (PV) systems are increasingly being installed in the distribution systems because of their decreasing cost and various advantages. This paper deals with the design and implementation of Photovoltaic Distribution Static Compensator(PV-DSTATCOM). The work has been done in MATLAB/SIMULINK. Perturb and Observe algorithm is used to simulate the proposed work. Maximum Power Point Tracking (MPPT) using Perturb and Observe algorithm is used to obtain duty-ratio for controlling the switching devices of DSTATCOM. The results have been given showing the waveforms of three-phase voltage

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Mario, Norman Syah, and Subiyanto. "Performance enhancement of maximum power point tracking for grid-connected photovoltaic system under various gradient of irradiance changes." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 4 (2019): 1973–84. https://doi.org/10.12928/TELKOMNIKA.v17i4.10335.

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This paper presents a new variant of smart adaptive algorithm of Maximum Power Point Tracking (MPPT) in the photovoltaic (PV) system. The algorithm was adopted from Modified Perturb and Observe (MP&O). The smart adaptive MPPT is used to search Maximum Power Point (MPP) of the PV system under various irradiance changes. This algorithm incorporates information of current change (ΔI), maximum operating point margin and dynamic perturbation step to prevent MPPT diverging away from the MPP and minimize the steady state oscillation. The smart adaptive MPPT algorithm performance is compared

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Taïssala, Awe, Noël Djongyang, Ahmat Tom, and Nisso Nicodem. "A modified perturb and observe maximum power point tracking algorithm for a standalone single phase photovoltaic system using boost converter." Journal of Renewable Energies 21, no. 4 (2018): 575–91. http://dx.doi.org/10.54966/jreen.v21i4.713.

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The photovoltaic solar energy becomes more and more one of the most abundant and an alternative source of electric energy. But its efficiency is very low. For this reason, several Maximum Power Point Tracking algorithms are used to track de maximum power. This paper proposes a modified Perturb and Observe (P&O) algorithm using a boost chopper. That algorithm was implemented under Matlab/Simulink/Simpowersystems/Simelectronics platform. Results obtained showed that the proposed algorithm gives better results compared to the conventional P&O algorithm. In fact, the extracted power’s ripp

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Sholapur, Shridhar, K. R. Mohan, and T. R. Narsimhegowda. "Boost Converter Topology for PV System with Perturb And Observe MPPT Algorithm." IOSR Journal of Electrical and Electronics Engineering 9, no. 4 (2014): 50–56. http://dx.doi.org/10.9790/1676-09425056.

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Killi, Muralidhar, and Susovon Samanta. "Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems." IEEE Transactions on Industrial Electronics 62, no. 9 (2015): 5549–59. http://dx.doi.org/10.1109/tie.2015.2407854.

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Izzati Zaihan, Nurul Izzah, Tengku Norliza Tengku Mohamad, and Fakroul Ridzuan Hashim. "Improving the Efficiency of Thermoelectric Generator using Perturb and Observe MPPT Algorithm." Jurnal Kejuruteraan 36, no. 6 (2024): 2591–601. http://dx.doi.org/10.17576/jkukm-2024-36(6)-28.

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Maximum Power Point Tracking (MPPT) is a crucial strategy for maximizing energy extraction from Thermoelectric Generators (TEGs). Various MPPT techniques, such as Interval Type 2 Fuzzy Logic Controller (IT2FLC), Extremum Seeking Control (ESC), and Perturb and Observe (P&O), have been developed to achieve optimal power output from TEG systems. Among these methods, the P&O technique stands out due to its ease of implementation and control scheme, cost-effectiveness, and high output power. This paper proposes a design that integrates TEG arrays, boost converters, and the P&O algorithm

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Mohamed, Bahri, Talea Mohamed, Bahri Hicham, and Aboulfatah Mohamed. "An efficient scanning algorithm for photovoltaic systems under partial shading." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 5799–807. https://doi.org/10.11591/ijece.v12i6.pp5799-5807.

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This paper proposes a new technique of maximum power point tracking (MPPT) for a photovoltaic (PV) system connected to three phase grids under partial shading condition (PSC), based on a new combined perturb and observe (P&O) with scanning algorithm. This new algorithm main advantages are the high-speed tracking compared to existing algorithms, high accuracy and simplicity which makes it ideal for hardware implementation. Simulation was carried on MATLAB/Simulink. Results showed the effectiveness in speed and accuracy of our algorithm over the existing ones either during standard condition

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Diouri, Omar, Ahmed Gaga, Saloua Senhaji, and Mohammed Ouazzani Jamil. "Design and PIL Test of High Performance MPPT Controller Based on P&O-Backstepping Applied to DC-DC Converter." Journal of Robotics and Control (JRC) 3, no. 4 (2022): 431–38. http://dx.doi.org/10.18196/jrc.v3i4.15184.

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This paper presents the design, test and validation process of the maximum power point tracking (MPPT) based on the Perturb and Observe backstepping controller. The design of this robust controller follows a sequence of two tests of the validated model-based design (MBD) approach. Our contribution is to give a roadmap for designing, testing and validating embedded software for MPPT algorithms. Perturb and observe algorithm is used to generate the reference voltage which is used by the backstepping controller to generate the maximum power. Then, after simulation of all these techniques, generat

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Pande, Jayshree, and Paresh Nasikkar. "A Maximum Power Point Tracking Technique for a Wind Power System Based on the Trapezoidal Rule." Energies 16, no. 6 (2023): 2799. http://dx.doi.org/10.3390/en16062799.

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This work presents a new trapezoidal-rule-based variation of the perturb and observe algorithm to track the point with maximum power for a wind energy conversion system. The algorithm works in three steps. In the first step, the trapezoidal-rule-based division of the power curve into trapezoids of equal width is carried out. In the second step, areas of the adjacent trapezoids are compared to identify the trapezoid with the largest area. In the third step, the conventional perturb and observe algorithm is employed in the trapezoid having the largest area to capture the point of maximum power.

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Alshareef, Muhannad, Zhengyu Lin, Mingyao Ma, and Wenping Cao. "Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions." Energies 12, no. 4 (2019): 623. http://dx.doi.org/10.3390/en12040623.

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This paper presents an accelerated particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm to track global maximum power point (MPP) of photovoltaic (PV) generation under partial shading conditions. Conventional PSO-based MPPT algorithms have common weaknesses of a long convergence time to reach the global MPP and oscillations during the searching. The proposed algorithm includes a standard PSO and a perturb-and-observe algorithm as the accelerator. It has been experimentally tested and compared with conventional MPPT algorithms. Experimental results show that the

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Rout, Kshirod Kumar, Debani Prasad Mishra, Sivkumar Mishra, Suman Patra, and Surender Reddy Salkuti. "Perturb and observe maximum power point tracking approach for microgrid linked photovoltaic system." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 2 (2023): 635. http://dx.doi.org/10.11591/ijeecs.v29.i2.pp635-643.

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This paper develops a maximum power point tracking (MPPT) approach for a microgrid-linked solar photovoltaic (PV) system based on the concept of a perturb and observe (P&amp;O) approach. It is an iterative algorithm that requires a starting point to trace the maximum power point tracking. This study proposes the P&amp;O MPPT algorithm for a 3-ɸ grid-connected PV system. In this work, the PV system is modeled as a DC grid-connected PV system, and the MPPT algorithm is applied to that model. An MPPT application is used in this proposal to amplify the effectiveness of the PV array in face

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Kshirod, Kumar Rout, Prasad Mishra Debani, Mishra Sivkumar, Patra Suman, and Reddy Salkuti Surender. "Perturb and observe maximum power point tracking approach for microgrid linked photovoltaic system." Perturb and observe maximum power point tracking approach for microgrid linked photovoltaic system 29, no. 2 (2023): 635–43. https://doi.org/10.11591/ijeecs.v29.i2.pp635-643.

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This paper develops a maximum power point tracking (MPPT) approach for a microgrid-linked solar photovoltaic (PV) system based on the concept of a perturb and observe (P&O) approach. It is an iterative algorithm that requires a starting point to trace the maximum power point tracking. This study proposes the P&O MPPT algorithm for a 3-ɸ grid-connected PV system. In this work, the PV system is modeled as a DC grid-connected PV system, and the MPPT algorithm is applied to that model. An MPPT application is used in this proposal to amplify the effectiveness of the PV array in face of any

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Khadidja, Saidi, Maamoun Mountassar, and Bounekhla M'hamed. "A new high performance variable step size perturb-and-observe MPPT algorithm for photovoltaic system." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 3 (2019): 1662–74. https://doi.org/10.11591/ijpeds.v10.i3.pp1662-1674.

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The optimization of energy in a photovoltaic conversion chain remains a topic of study. The maximum power point tracking (MPPT) is considered the most appropriate solution to ensure the extraction of the maximum power which a photovoltaic generator can provide. Perturb and observe (P&O) algorithm is the well-known MPPT tracker; it shows an important and decisive role in the development of photovoltaic (PV) systems. In This article we introduce a new improved adjustable step size P&O (imVS_PO) MPPT method.The performances of the new algorithm are compared to the conventional P&O MPP

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Ahmed, Mohammed. "ON-GRID PHOTOVOLTAIC SYSTEM MAXIMUM POWER POINT TRACKING USING PERTURB AND OBSERVE ALGORITHM." Journal of Al-Azhar University Engineering Sector 14, no. 52 (2019): 1113–22. http://dx.doi.org/10.21608/auej.2019.43439.

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Jusoh, Awang, Rozana Alik, Tan Kar Guan, and Tole Sutikno. "MPPT for PV System Based on Variable Step Size Perturb and Observe Algorithm." TELKOMNIKA (Telecommunication Computing Electronics and Control) 15, no. 1 (2017): 79. http://dx.doi.org/10.12928/telkomnika.v15i1.3160.

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Rehan, Muhammad, and Muhammad Mateen Afzal Awan. "Optimization of MPPT perturb and observe algorithm for a standalone solar PV system." Mehran University Research Journal of Engineering and Technology 43, no. 3 (2024): 136. http://dx.doi.org/10.22581/muet1982.3147.

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Ali, Nisreen Kareem, and Timur Petrov. "Design and analysis of MPPT for PV system by perturb and observe algorithm." E3S Web of Conferences 542 (2024): 01010. http://dx.doi.org/10.1051/e3sconf/202454201010.

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The biggest issue facing the solar system is maximizing the power production of photovoltaic (PV) panels under variable sun radiation and temperature conditions. Maximum power point tracking, or MPPT, is essential to solar systems because it maximizes the power output under particular circumstances, reducing system costs and improving array efficiency. Because the peak power point (MPP) varies with irradiation and cell temperature, suitable techniques must be utilized to track the MPP and sustain system operation in it. The acquired results demonstrate that, in the presence of oscillation, the

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Bandri, S., Zulkarnaini, A. Syofian, and A. Effendi. "The application of perturb and observe algorithm to optimized of solar cell output." Journal of Physics: Conference Series 1185 (April 2019): 012012. http://dx.doi.org/10.1088/1742-6596/1185/1/012012.

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Mohanty, Satyajit, Bidyadhar Subudhi, and Pravat Kumar Ray. "A Grey Wolf-Assisted Perturb & Observe MPPT Algorithm for a PV System." IEEE Transactions on Energy Conversion 32, no. 1 (2017): 340–47. http://dx.doi.org/10.1109/tec.2016.2633722.

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Elgendy, Mohammed A., Bashar Zahawi, and David J. Atkinson. "Assessment of Perturb and Observe MPPT Algorithm Implementation Techniques for PV Pumping Applications." IEEE Transactions on Sustainable Energy 3, no. 1 (2012): 21–33. http://dx.doi.org/10.1109/tste.2011.2168245.

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