Relevant bibliographies by topics / Perturb and observe algorithm

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Academic literature on the topic 'Perturb and observe algorithm'

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Published: 3 June 2025
Last updated: 7 July 2025

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Journal articles on the topic "Perturb and observe algorithm"

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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 formation of multiple peaks in the P-V characteristic curve of a PV cell. In this paper, weaknesses of the P&O algorithm are studied and overcome by structural modifications. The proposed structure is named the “strategic P&O algorithm”. Performance of the conventional and proposed algorithms is evaluated at the following standard benchmarks, tracking speed, tracking time, efficiency, and ability to track the GMPP under PSC. Results have shown that the proposed SP&O algorithm has outperformed the conventional P&O algorithm under numerous weather conditions. Simulations are performed in MATLAB/Simulink.
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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 performance still needs to be improved. Therefore, this study proposes a modified perturb and observe algorithm approach. The research results show the superiority of the proposed method.
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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 simulation in MATLAB/Simulink. The photovoltaic model is designed with reference to the KS80M-36 photovoltaic model. The MPPT system that has been designed is then simulated and its performance is seen. The MPPT system that has been designed using the Incremental Conductance algorithm and the Perturb and Observe algorithm has succeeded in finding the optimal photovoltaic working point and is able to respond to changes in environmental conditions by finding new optimal working points. The two MPPT systems are also able to make photovoltaic work at that optimal point. The Incremental Conductance algorithm has a power ratio of 96%, while the Perturb and Observe algorithm has a power ratio of 95.4%. The MPPT system that has been designed using the Incremental Conductance algorithm and the Perturb and Observe algorithm has succeeded in finding the optimal photovoltaic working point and is able to respond to changes in environmental conditions by finding new optimal working points. The two MPPT systems are also able to make photovoltaic work at that optimal point. The Incremental Conductance algorithm has a power ratio of 96%, while the Perturb and Observe algorithm has a power ratio of 95.4%.
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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 is designed and implemented for the 15 stage 31 level Cascaded Multilevel Inverter (CMLI) with the Selective harmonic elimination algorithm. From the analysis of results, it is found that the proposed hybrid MPPT provides higher MPP tracking performance in any weather conditions compared with other MPPT algorithms
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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 condition. This paper presents a new perturb and observe algorithm based on two step variable control for MPPT applications. A two variable incremental step control is proposed to gain the merit of high step for guaranteeing a fast response during tracking process, and also for guaranteeing the merit of low oscillation during the steady state working condition through adopting a low step during steady state response. The effectiveness of the proposal is proved by the analysis of the simulation results via MATLAB/Simulink software, and by the comparison of the simulation results with a conventional perturb and observe MPPT algorithm.
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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 maximum power point (MPP) under dynamic behavior faster ‎than (‎P&O) and‎ Modified P&O). Reduced oscillation of MPP indicates enhanced ‎efficiency, providing ‎maximum power transfer to load. ‎
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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 conditions, i.e., solar irradiation and atmospheric temperature. Therefore, a Maximum Power Point Tracking (MPPT) control to extract maximum power from the PV arrays at real time becomes indispensable in PV generation system. In recent years, a large number of techniques have been proposed for tracking the maximum power point (MPP). MPPT is used in photovoltaic (PV) systems to maximize the photovoltaic array output power, irrespective of the temperature and radiation conditions and of the load electrical characteristics the PV array output power is used to directly control the dc/dc converter, thus reducing the complexity of the system. The resulting system has high-efficiency. This paper presents in details comparison of most popular MPPT algorithms techniques which are Perturb & Observe algorithm(P&O) and Improved Perturb & Observe algorithm(IPO). Improved Perturb & Observe algorithm (IPO), is a very promising technique that allows the increase of efficiency and reliability of such systems. Modeling and designing a PV system with Improved Perturb & Observe algorithm (IPO) is remarkably more complex than implementing a standard MPPT technique. In this paper, Improved Perturb & Observe algorithm (IPO), system for PV arrays is proposed and analyzed.</p>
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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 condition. This paper presents a new perturb and observe algorithm based on two step variable control for MPPT applications. A two variable incremental step control is proposed to gain the merit of high step for guaranteeing a fast response during tracking process, and also for guaranteeing the merit of low oscillation during the steady state working condition through adopting a low step during steady state response. The effectiveness of the proposal is proved by the analysis of the simulation results via MATLAB/Simulink software, and by the comparison of the simulation results with a conventional perturb and observe MPPT algorithm.
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Dissertations / Theses on the topic "Perturb and observe algorithm"

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Persen, Todd. "FPGA-BASED DESIGN OF A MAXIMUM-POWER-POINT TRACKING SYSTEM FOR SPACE A." Master's thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3126.

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Satellites need a source of power throughout their missions to help them remain operational for several years. The power supplies of these satellites, provided primarily by solar arrays, must have high efficiencies and low weights in order to meet stringent design constraints. Power conversion from these arrays is required to provide robust and reliable conversion which performs optimally in varying conditions of peak power, solar flux, and occlusion conditions. Since the role of these arrays is to deliver power, one of the principle factors in achieving maximum power output from an array is tracking and holding its maximum-power point. This point, which varies with temperature, insolation, and loading conditions, must be continuously monitored in order to react to rapid changes. Until recently, the control of maximum power point tracking (MPPT) has been implemented in microcontrollers and digital signal processors (DSPs). While DSPs can provide a reasonable performance, they do not provide the advantages that field-programmable gate arrays (FPGA) chips can potentially offer to the implementation of MPPT control. In comparison to DSP implementations, FPGAs offer lower cost implementations since the functions of various components can be integrated onto the same FPGA chip as opposed to DSPs which can perform only DSP-related computations. In addition, FPGAs can provide equivalent or higher performance with the customization potential of an ASIC. Because FPGAs can be reprogrammed at any time, repairs can be performed in-situ while the system is running thus providing a high degree of robustness. Beside robustness, this reprogrammability can provide a high level of (i) flexibility that can make upgrading an MPPT control system easy by merely updating or modifying the MPPT algorithm running on the FPGA chip, and (ii) expandability that makes expanding an FPGA-based MPPT control system to handle multi-channel control. In addition, this reprogrammability provides a level of testability that DSPs cannot match by allowing the emulation of the entire MPPT control system onto the FPGA chip. This thesis proposes an FPGA-based implementation of an MPPT control system suitable for space applications. At the core of this system, the Perturb-and-observe algorithm is used to track the maximum power point. The algorithm runs on an Alera FLEX 10K FPGA chip. Additional functional blocks, such as the ADC interface, FIR filter, dither generator, and DAC interface, needed to support the MPPT control system are integrated within the same FPGA device thus streamlining the part composition of the physical prototype used to build this control system.<br>M.S.E.E.<br>Department of Electrical and Computer Engineering<br>Engineering and Computer Science<br>Electrical Engineering
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Tavares, Carlos Antônio Pereira. "Estudo Comparativo de Controladores Fuzzy Aplicados a um Sistema Solar Fotovoltaico." Universidade do Estado do Rio de Janeiro, 2009. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=7509.

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Neste trabalho apresenta-se o modelo de um controlador baseado em Lógica Fuzzy para um sistema de energia baseado em fonte renovável solar fotovoltaica (photovoltaic - PV) multi-string em operação isolada, para o aproveitamento da máxima potência desta fonte. O sistema é composto por painéis solares, conversor CC-CC tipo elevador de tensão (boost), armazenamento por banco de baterias, inversor trifásico e carga trifásica variável. O sistema fotovoltaico foi modelado no MATLAB/Simulink de forma a representar a curva característica V-I do módulo PV, e que é baseado nos dados disponíveis em data-sheets de painéis fotovoltaicos comerciais. Outros estudos de natureza elétrica tais como o cálculo dos valores eficazes das correntes no conversor CC-CC, para avaliação das perdas, indispensáveis para o dimensionamento de componentes eletrônicos, foram realizados. O método tradicional Perturb and Observe de rastreamento do ponto de máxima potência (Maximum Power Point Tracking MPPT) de painéis foi testado e comparado com métodos que usam a Lógica Fuzzy. Devido ao seu desempenho, foi adotado o método Fuzzy que realiza o MPPT por inferência do ciclo de trabalho de um modulador por largura de pulso (Pulse Width Modulation - PWM) através da variação da potência pela variação da corrente do painel solar. O modelo Fuzzy adotado neste trabalho foi testado com sucesso. Os resultados mostraram que ele pode ser robusto e atende à aplicação proposta. Segundo alguns testes realizados, este controlador pode realizar o MPPT de um sistema PV na configuração multi-string onde alguns arranjos fotovoltaicos são usados. Inclusive, este controle pode ser facilmente adaptado para realizar o MPPT de outras fontes de energia baseados no mesmo princípio de controle, como é o caso do aerogerador.<br>This work presents the model of a Fuzzy Logic controller for a renewable energy system based on multi-string solar photovoltaic (PV) in stand-alone operation, to extract the maximum energy of this power source. The system consists of PV modules, DC-DC converter (Boost), a battery set, three-phase inverter and three-phase variable load. The photovoltaic system was modeled in MATLAB / Simulink in order to represent the V-I characteristic of the PV module, and which is based on the data provided by the manufacturer data-sheet. Other studies, such as the calculation of the RMS currents of the DC-DC converter components for evaluation of the losses, which are essential for the system design were accomplished. The conventional Perturb and Observe method for the Maximum Power Point Tracking (MPPT) of PV modules was tested and compared with methods that use Fuzzy Logic control. Due to its performance, it was adopted the Fuzzy method that performs the MPPT by inference of duty cycle of a Pulse Width Modulation (PWM) through the variation of PV power divided by the variation of the PV current. The Fuzzy model considered in this work was successfully tested. The results showed that it can be robust and suitable to the proposed application. According to some accomplished tests, the controller can perform the MPPT of a multi-string configuration of the solar PV system, in which several PV arrays are used. Moreover, it can also be easily adapted to perform the MPPT of other energy power sources based on the same control principle, as it is in the case of aerogenerators.
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Jahanbakhsh, David. "Implementation of DC-DC converter with maximum power point tracking control for thermoelectric generator applications." Thesis, KTH, Elektrisk energiomvandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-109705.

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A heavy duty vehicle looses approximately 30-40 % of the energy in the fuel as waste heat through the exhaust system. Recovering this waste heat would make the vehicle meet the legislative and market demands of emissions and fuel consumption easier. This recovery is possible by transforming the waste heat to electric power using a thermoelectric generator. However, the thermoelectric generator electric characteristics makes direct usage of it unprotable, thus an electric power conditioner is necessary. First a study of dierent DC-DC converters is presented, based on that the most suitable converter for thermoelectric application is determined. In order to maximize the harvested power, maximum power point tracking algorithms have been studied and analyzed. After the investigation, the single ended primary inductor converter was simulated and implemented with a perturb and observe algorithm, and the incremental conductance algorithm. The converter was tested with a 20 W thermoelectric generator, and evaluated.The results show that the incremental conductance is more robust and stable compared to the perturb and observe algorithm. Further on, the incremental conductance also has a higher average eciency during real implementation.
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González, Morales Luis Gerardo. "Mejora de la eficiencia y de las prestaciones dinámicas en procesadores electrónicos de potencia para pequeños aerogeneradores sincrónicos operando en régimen de velocidad variable." Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/10915.

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El presente trabajo muestra el estudio sobre los sistemas de conversión de energía eólica de pequeña y mediana potencia, en el mismo se realiza un análisis del estado del arte en relación a las diferentes topologías existentes, además del modelado de cada uno de los elementos y su efecto sobre la integración con el convertidor de potencia back-to-back. Igualmente se estudia las principales técnicas de estimación de velocidad y posición de rotor sin sensor aplicada a los generadores sincrónicos de imanes permanentes. Además, se demuestra que la técnica del estimador simplificado de Kalman presenta el mejor desempeño en la aplicación en cuestión. También es planteada la estrategia de control, aplicada al convertidor de potencia back-to-back, donde los lazos de control de corriente y tensión son diseñados tomando en cuenta el rendimiento del sistema y las característica dinámica de la turbina eólica, de la misma manera es analizado el control de potencia de salida en el generador mediante la manipulación del par electromecánico ó la velocidad de rotor. Otro aspecto estudiado en esta tesis, son los diferentes algoritmos de seguimiento de máxima potencia utilizados en estos sistemas, a su vez es propuesto una modificación del clásico algoritmo perturbar y observar, a fin de reducir las variaciones de par asociado al sistema mecánico sin disminuir significativamente el rendimiento. En relación al convertidor de potencia, es realizado un estudio sobre el efecto de la sincronización entre las señales portadoras de los moduladores PWM de las etapas rectificadora e inversora sobre la corriente en el condensador equivalente de la DC-Link. Se demuestra que es posible disminuir el rizado de corriente si se sincronizan ambas señales portadoras, de manera que se reducen las pérdidas y aumenta la vida útil en los condensadores. Las técnicas estudiadas son comprobadas de manera experimental, simulando las condiciones ambientales utilizando DSP TMS320F2812 como dispositivo de control<br>González Morales, LG. (2011). Mejora de la eficiencia y de las prestaciones dinámicas en procesadores electrónicos de potencia para pequeños aerogeneradores sincrónicos operando en régimen de velocidad variable [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/10915<br>Palancia
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Ahmed, Rana. "Energy management and control for hybrid renewable energy sources in rural area." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4353.

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Cette thèse propose principalement, un algorithme État-Flow MPPT basé P&amp;O, amélioré avec deux degrés de liberté, dans lequel le système événementiel (MPPT) de comportement est modélisé par le décrivant en terme de transition entre les états, sous certaines conditions. Secondairement, un algorithme étendu MPPT, base d'exploitation en parallèle de l'état-débit est en outre proposé d'être une solution difficile pour le contrôle indépendant du système hybride, où la caractéristique de contrôle continu peut se présenter au cours d'un certain état de travail tout en discrète, est indiquée le long des transitions d'état. Deux configurations possibles pour le système hybride sont proposées : deux convertisseurs DC/DC séparés, et un convertisseur de sortie unique à double entrée (DISO) de configurations. Enfin, il est proposé, un comportement du système DC modélisation utilisant État-Flow, menant à l'ensemble de la conception de la stratégie de commande qui concernent RES MPPT, RES et la coordination BESS, la stabilité du système d'alimentation et de régulation de la tension du bus DC. La simulation et les résultats expérimentaux valident l'efficacité et l'applicabilité de l'algorithme proposé. Les deux résultats montrent la supériorité du MPPT basé proposé État-Flow pour réduire les oscillations de puissance RESs à l'état d'équilibre dans diverses conditions d'exploitation, en plus de son démarrage plus rapide, et l’opération de transition sans divergence de la MPP, selon des conditions météorologiques variables<br>This thesis primarily proposes, an improved P&amp;O based State-Flow MPPT algorithm featuring two degree of freedom, in which the event driven system (MPPT) behaviour is modelled by describing it in terms of transitions among states under certain conditions. Secondarily, an extended parallel operating State-Flowbased MPPT algorithm is further proposed to be a challenging solution for the independent control of the hybrid system, where continuous control characteristic can present during a certain working state while discrete one is indicated along state transitions. Two possible configurations for the hybrid system are proposed; two separate DC/DC converters and dual input single output converter (DISO) configurations. Finally it is proposed, DC system behaviour modelling using State-Flow leading to the whole control strategy design which concern RESs MPPT, RESs and BESS coordination, power system stability and DC bus voltage regulation.Simulation and experimental results validate the effectiveness and applicability of the proposed algorithm, both results show the superiority of the proposed State-Flow based MPPT in reducing the RESs power oscillations at steady-state in various operating conditions in addition to its faster start-up and transition operation without divergence from the MPP during sudden varying weather conditions
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Lai, Bo-rong, and 賴伯榕. "Assessment of Perturb-and-Observe MPPT Algorithm." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/22553800696693928301.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>102<br>The output characteristics of solar cells are affected by weather and environmental factors, that is, cell output voltage and current vary according to changes in irradiance and temperature. Therefore, a unique maximum power point (MPP) exhibits under specific irradiance and temperature. For photovoltaic generation system (PGS), the maximum power point tracking (MPPT) algorithm is an essential technique to attain maximum power from solar cells. Among MPPT techniques proposed and implemented in the literatures, the perturbation and observation (P&;O) method is the most popular because it is simple and can easily be implemented. P&;O MPPT algorithm typically can be implemented in two ways: reference voltage perturbation and direct duty ratio perturbation. However, the differences between these two methods were seldom discussed. In this thesis, two different types of P&;O MPPT system were constructed. A boost converter is used as the power stage and the MPPT controllers are realized using digital signal controller dsPIC33FJ16GS502 from Microchip corp. Next, experiments were carried out to compare the performance of these two systems and to investigate the influence of algorithm parameter variation on system behavior. Finally, the advantages and drawbacks of each technique were discussed
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AL-Zu\'\'bi, Omar Aqil Ayed, and 艾昂明. "An Improved Version of the Perturb and Observe Algorithm for Photovoltaic Power Generation System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/f9x7e2.

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碩士<br>國立中山大學<br>電機電力工程國際碩士學程<br>107<br>In this work, an improved version of the standard P&O MPPT algorithm for PV application with the name of IP&O MPPT algorithm is introduced, proposed and implemented. The new IP&O MPPT algorithm is modeled and then simulated using MATLAB/SIMULINK. The IP&O simulation results are compared with the simulation results of the standard P&O algorithm in different weather condition scenarios. The results prove that the IP&O algorithm to be more efficient, more effective and have a better performance in tracking the MPP during steady state conditions (STC), partial shading conditions (PSC) and sudden change in weather conditions. The IP&O algorithm’s primary goal is to reduce the standard P&O three critical drawbacks losses effects. These drawbacks include the oscillation around the MPP that occurs in case of STC, the deviation of the operating point away from the MPP in case of rapid change in weather conditions and the P&O algorithm inability to track the MPP in case of PSC. The IP&O algorithm meets its mentioned goals by combining two algorithms that include: the optimized hill-climbing MPPT method (dP-P&O) and the checking algorithm. Keywords: Photovoltaic, Maximum Power Point Tracking, Maximum Power Point, Perturb and Observe, Partial Shading Conditions, Steady State Conditions.
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Tsai, Wen-jie, and 蔡文傑. "Implementation of Maximum Power Point Tracker with Regulated Perturb and Observe Algorithm for PV System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/38087497142074809561.

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碩士<br>國立中正大學<br>電機工程所<br>98<br>Recently, photovoltaic (PV) systems attract a lot of, in order to more effectively extract solar energy from PV array, the thesis proposes a regulated perturb and observe algorithm to realize maximum power point tracking of PV systems. This algorithm can improve disadvantages of constant perturbation step in perturb and observe algorithm, such as power loss and longer tracking time, by sensing conditions of PV array to adjust perturb step and perturb time, so that it can not only reduce the loss of perturbation around the maximum power point, but also increase the system response. The proposed circuit is controlled with a microcontroller (dsPIC30F2020) to realize the functions of maximum power point tracking and protections. Finally, the 1kW full-bridge converter was implemented to verify its feasibility.
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Oliveira, Pedro A. Duarte de. "Algoritmos GMPPT (Global Maximum Power Point Tracking) para aplicação em sistemas de produção de energia fotovoltaica." Master's thesis, 2021. http://hdl.handle.net/10400.26/37668.

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Os algoritmos de rastreamento do máximo ponto de potência global (GMPPT), são especialmente indicados para uso em sistemas de produção de energia fotovoltaica, quando os painéis fotovoltaicos ficam sujeitos a um efeito de sombreamento parcial numa string (conjunto de painéis fotovoltaicos ligados em série). As técnicas de rastreamento clássicas usadas para encontrar o ponto de máxima potência, poderão falhar em situações de sombreamento parcial, porque nestas condições irão existir múltiplos picos de potência e por conseguinte, não se garantir que se encontre o pico associado ao máximo global. Assim, devido à existência de vários picos em condições de sombreamento parcial, para efetuar o rastreamento do ponto de máxima potência global (GP - Global Point) deverá ser utilizado um algoritmo GMPPT. Neste contexto, esta dissertação irá propor o estudado de cinco algoritmos com características próprias que permitirão encontrar o ponto GP. Um destes algoritmos resulta de uma nova abordagem que evita singularidades do sistema e permite efetuar a sua implementação com baixos custos e requisitos. Por último, o desempenho dos cinco algoritmos será verificado e testado através de diversos testes de simulação.<br>The global maximum power point tracking (GMPPT) algorithms are especially suitable for use in photovoltaic energy production systems over partial shading effect in a string (set of photovoltaic panels connected in series). Classic tracking techniques used to find the maximum power point may fail in partial shading conditions because under these conditions there will be multiple power peaks, and therefore, it is not guaranteed that the peak associated with the global maximum will be found. Thus, due to the existence of several peaks in partial shading conditions, to track the maximum power point (GP - Global Point) a GMPPT algorithm must be used. In this context, this master’s thesis will propose the study of five algorithms with their own characteristics that will be able to find the GP. One of these algorithms results from a new approach that avoids system singularities and allows its implementation with low costs and requirements. Finally, the performance of the five algorithms will be verified and tested through various simulation tests.
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游一峰. "A Study on Perturb & Observe Maximum Power Point Tracking Method for Photovoltaic Systems." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/96392966304929542013.

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碩士<br>明新科技大學<br>電機工程研究所<br>97<br>Due to the characteristic of photovoltaic (PV) modules with nonlinear voltage-current relation and variation of the maximum power point (MPP) with respect to irradiation and temperature, a maximum power point tracking (MPPT) techniques is commonly used in PV systems to maximize the power drown from PV systems under varying atmospheric conditions. Among the MPPT techniques, perturb and observe (P&O) MPPT algorithm is the most commonly used method due to its ease of implementation. However, a drawback of the conventional P&O MPPT technique is that, at steady state, the operating point oscillates around the MPP giving rise to the waste of some amount of available energy; moreover, it is well known that the P&O algorithm can be confused during those time intervals characterized by rapidly changing atmospheric conditions. In this thesis, a study on the P&O algorithm for PV systems is presented to limit the negative effects associated to the above drawbacks. Simulation and experiment results are included to verify the validity and reliability of the extended P&O algorithms.
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Books on the topic "Perturb and observe algorithm"

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Bayer, Valentina. A POMDP approximation algorithm that anticipates the need to observe. Oregon State University, Dept. of Computer Science, 2000.

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Book chapters on the topic "Perturb and observe algorithm"

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Abbadi, Amel, Hamidia Fethia, Morsli Abdelkader, Boukhetala Djemel, and Nezli Lazhari. "Fuzzy Logic Controller Based Perturb and Observe Algorithm for Photovoltaic Water Pump System." In Renewable Energy for Smart and Sustainable Cities. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04789-4_17.

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Arredondo-Mamani, James Rolando, Mario Gaston Borja-Borja, Marco Antonio Quispe-Barra, et al. "MPPT Perturb - Observe Algorithm with Fuzzy Logic for a Dual Active Bridge-Series Resonant Converter." In Proceedings of the 7th Brazilian Technology Symposium (BTSym’21). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08545-1_63.

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Ayala, Edy, and Silvio Simani. "Perturb and Observe Maximum Power Point Tracking Algorithm for Permanent Magnet Synchronous Generator Wind Turbine Systems." In Lecture Notes in Control and Information Sciences - Proceedings. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85318-1_59.

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Guettaf, Seif El Islem, Abdelouahab Bouafia, Abdelmajid Chaoui, and Nacereddine Guettaf. "A Modified Maximum Power Point Tracking Controller Based on the Perturb and Observe Algorithm Used for Solar Energy System." In Artificial Intelligence and Renewables Towards an Energy Transition. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63846-7_34.

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Ghosh, Sagnik, and Shivam. "Comparative Performance Analysis of PV System in Island Mode Using MPPT Fuzzy Logic Controller and Perturb and Observe Algorithm." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0047-2_14.

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Rayaguru, N. K., and S. Sekar. "Modified Multiverse Optimization, Perturb and Observer Algorithm-Based MPPT for Grid-Connected Photovoltaic System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4943-1_61.

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Chtouki, Ihssane, Houssam Eddine Chakir, Patrice Wira, Malika Zazi, and Bruno Collicchio. "Simulation and Analysis of Enhanced Perturb and Observe MPPT Algorithm Based on an Adaline Neural Network for Standalone PV System." In Advances in Smart Technologies Applications and Case Studies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53187-4_27.

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Ghosh, Sagnik, and Shivam. "Performance Analysis of PV System in Island Mode Based on Fuzzy Logic Controller and Perturb and Observe Algorithm with ESS." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0089-2_21.

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Behera, Sadasiva, Mayur Barman, N. B. Dev Choudhury, and Satyaki Biswas. "Application of Perturb and Observe Algorithm for MPPT Technique in Association with MP Controller for Reducing the THD of Grid Connected PV Systems." In Learning and Analytics in Intelligent Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42363-6_62.

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Kamal, Nashwa Ahmad, Ahmad Taher Azar, Ghada Said Elbasuony, Khaled Mohamad Almustafa, and Dhafer Almakhles. "PSO-Based Adaptive Perturb and Observe MPPT Technique for Photovoltaic Systems." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31129-2_12.

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Conference papers on the topic "Perturb and observe algorithm"

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Spina, I., G. Brando, and A. Cervone. "A Perturb-and-Observe based MTPA Algorithm for Mono-Inverter Multi PMSM Electric Drives." In 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE, 2024. http://dx.doi.org/10.1109/speedam61530.2024.10609058.

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Lakhdari, Abdelkader, Noureddine Bouarroudj, Boualem Benlahbib, and Thameur Abdelkrim. "Enhanced Perturb and Observe MPPT Algorithm Using Ultra-Local Model Control for Improved Photovoltaic System Efficiency." In 2024 12th International Conference on Systems and Control (ICSC). IEEE, 2024. https://doi.org/10.1109/icsc63929.2024.10928946.

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Banerjee, Soumyadip, Tanmoy Maity, and Mayank Sharma. "Enhanced MPPT for PMSG-Based VS-WECS: Adaptive Step-Size Perturb and Observe Algorithm with Single Current Sensor." In 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE). IEEE, 2024. http://dx.doi.org/10.1109/icspcre62303.2024.10674914.

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Sangani, Soheil Hasani, Mohamad Reza Moslemnejad, Mojtaba Saeedi, Alireza Jalalitalab, and Reza Beiranvand. "Implementation of a Global Characteristic Scan Mechanism Integrated with the Perturb & Observe MPPT Algorithm under Partial Shading Conditions." In 2025 16th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC). IEEE, 2025. https://doi.org/10.1109/pedstc65486.2025.10911107.

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Fang, Shengli, Long Wang, Chao Zeng, Peng Li, Xiangping He, and Chunyan Ma. "Research on MPPT with Improved Perturb-observe Method." In 2024 3rd International Conference on Automation, Robotics and Computer Engineering (ICARCE). IEEE, 2024. https://doi.org/10.1109/icarce63054.2024.00093.

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Kollimalla, S. K., and M. K. Mishra. "Adaptive perturb & observe MPPT algorithm for photovoltaic system." In 2013 IEEE Power and Energy Conference at Illinois (PECI 2013). IEEE, 2013. http://dx.doi.org/10.1109/peci.2013.6506032.

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Elgendy, M. A., B. Zahawi, and D. J. Atkinson. "Evaluation of perturb and observe MPPT algorithm implementation techniques." In 6th IET International Conference on Power Electronics, Machines and Drives (PEMD 2012). IET, 2012. http://dx.doi.org/10.1049/cp.2012.0156.

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Florea, Marin-Leonard, and Adrian Baltatanu. "Modeling photovoltaic arrays with MPPT Perturb & Observe algorithm." In 2013 8th International Symposium on Advanced Topics in Electrical Engineering (ATEE). IEEE, 2013. http://dx.doi.org/10.1109/atee.2013.6563520.

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Siddiqui, Naureen, Arunima Verma, and Divyank Srivastava. "Perturb and Observe Algorithm for MPPT of Bifacial Photovoltaic Module." In 2022 IEEE International Power and Renewable Energy Conference (IPRECON). IEEE, 2022. http://dx.doi.org/10.1109/iprecon55716.2022.10059567.

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Fan, Zhipeng, Shaowu Li, Hang Cheng, and Liwei Liu. "Perturb and Observe MPPT Algorithm of photovoltaic System: A Review." In 2021 33rd Chinese Control and Decision Conference (CCDC). IEEE, 2021. http://dx.doi.org/10.1109/ccdc52312.2021.9602272.

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