Relevant bibliographies by topics / Incremental conductance method(INC)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Incremental conductance method(INC)'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Incremental conductance method(INC)"

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Yu, Kuo-Nan, Chih-Kang Liao, and Her-Terng Yau. "A New Fractional-Order Based Intelligent Maximum Power Point Tracking Control Algorithm for Photovoltaic Power Systems." International Journal of Photoenergy 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/493452.

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This paper proposes a new type of variable fractional-order incremental conductance algorithm (VFOINC), combined with extenics variable step size (EVSS) control into the maximum power point tracking (MPPT) design for photovoltaic power systems. At the beginning of maximum power tracking, the fractional-order numberαis selected as 1; the good transient tracking characteristic of traditional incremental conductance method is used. When the maximum power point is approached, the fractional-order numberαis selected as variable fractional order; the curve profile ofαin fractional order is used to approximate, so that the system has good tracking effect in transient and steady states. The experimental and simulation results show that, compared with traditional incremental conductance method (INC) and fractional-order incremental conductance method (FOINC), this method has better MPPT effect.
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Chao, Kuei Hsiang, and Yu Hsu Lee. "An Intelligent Incremental Conductance MPPT Method for a Photovoltaic System." Key Engineering Materials 480-481 (June 2011): 739–44. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.739.

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In this paper, a novel incremental conductance (INC) maximum power point tracking (MPPT) method based on extension theory is developed to make full use of photovoltaic (PV) array output power. The proposed method can adjust the step size to track the PV array’s maximum power point (MPP) automatically. Compared with the conventional fixed step size INC method, the presented approach is able to effectively improve the dynamic response and steady state performance of a PV system simultaneously. A theoretical analysis and the design principle of the proposed method are described in detail. Some simulation results are performed to verify the effectiveness of the proposed MPPT method.
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Asnil, Asnil, Refdinal Nazir, Krismadinata Krismadinata, and Muhammad Nasir. "Comparative analysis of incremental conductance MPPT for enhanced algorithm performance." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 3 (2025): 1415. https://doi.org/10.11591/ijeecs.v37.i3.pp1415-1427.

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The incremental conductance (INC) approach is limited in terms of its response speed, accuracy during steady state, and ability to handle oscillations. As a result, this algorithm is ineffective in situations with variations in solar radiation and temperature, particularly abrupt fluctuations. An enhanced variable step size INC approach is suggested to improve system efficiency and performance. The proposed algorithm is subjected to rigorous testing and analysis with other INC methods for better results. The research findings indicate that the proposed algorithm's tracking efficiency can be enhanced to 99.83% under varying radiation conditions and constant temperature. Additionally, the method utilizing the second model achieves a 99.83% tracking efficiency, while the method employing the first model achieves a tracking efficiency of 89.99%. In comparison, the conventional method achieves a tracking efficiency of 96.36%. Regarding radiation and temperature circumstances, the tracking efficiency value varies for different methods. Specifically, the tracking efficiency is 95.21% for the approach using the proposed algorithm’s, 92.94% for the method using the second model, 83,39% for the method using the first model, and 91.19% for the conventional way. Therefore, it can be inferred that the suggested Maximum power point tracking (MPPT) algorithm performs better than other algorithms under both test situations.
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Asnil, Asnil Refdinal Nazir Krismadinata Krismadinata Muhammad Nasir. "Comparative analysis of incremental conductance MPPT for enhanced algorithm performance." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 3 (2025): 1415–27. https://doi.org/10.11591/ijeecs.v37.i3.pp1415-1427.

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The incremental conductance (INC) approach is limited in terms of its response speed, accuracy during steady state, and ability to handle oscillations. As a result, this algorithm is ineffective in situations with variations in solar radiation and temperature, particularly abrupt fluctuations. An enhanced variable step size INC approach is suggested to improve system efficiency and performance. The proposed algorithm is subjected to rigorous testing and analysis with other INC methods for better results. The research findings indicate that the proposed algorithm's tracking efficiency can be enhanced to 99.83% under varying radiation conditions and constant temperature. Additionally, the method utilizing the second model achieves a 99.83% tracking efficiency, while the method employing the first model achieves a tracking efficiency of 89.99%. In comparison, the conventional method achieves a tracking efficiency of 96.36%. Regarding radiation and temperature circumstances, the tracking efficiency value varies for different methods. Specifically, the tracking efficiency is 95.21% for the approach using the proposed algorithm’s, 92.94% for the method using the second model, 83,39% for the method using the first model, and 91.19% for the conventional way. Therefore, it can be inferred that the suggested Maximum power point tracking (MPPT) algorithm performs better than other algorithms under both test situations.
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He, Xuan, Wen Yi Li, Xiu Li, Li Guo, Yan Wang, and Wei Sheng Lv. "Photovoltaic Arrays MPPT Based on Improved Incremental Conductance Method." Advanced Materials Research 608-609 (December 2012): 177–80. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.177.

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This paper analyzes advantages and disadvantages of different maximum power point tracking (MPPT) methods based on mathematical model of photovoltaic cell and its characteristic analysis. According to output characteristics of photovoltaic (PV) array, this paper puts forwards an improved increment conductance (INC) method which can improve the efficiency of photovoltaic cell by increasing power tracking speed under the premise of ensuring stability of the system. This method is verified by means of MATLAB/Simulink.
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Sonia, Pankaj, Aravinda K, Atul Singla, et al. "Incorporating Incremental Conductance MPPT Techniques into Solar Power Extraction." E3S Web of Conferences 552 (2024): 01113. http://dx.doi.org/10.1051/e3sconf/202455201113.

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Research into alternative, green energy sources such as solar power has been driven by concerns about environmental sustainability, escalating petroleum costs, and surging energy demand. Solar energy can power the entire world sustainably, since it is abundant and easy to access. Solar radiation, cell temperature, and load impedance all play a part in improving the efficiency of solar energy utilization. In order to maximize solar energy utilization, Maximum Power Point Tracking (MPPT) techniques are used. In order to address factors such as solar effectiveness, dynamic response, convergence speed, complexity, cost, and sensor requirements, different MPPT techniques have been developed. Using Incremental Conductance (INC) as an example, this paper provides a comprehensive overview of MPPT techniques. P&O’s drawback of oscillations around the Maximum Power Point (MPP) is overcome by INC, which minimizes them. The MPP voltage is maintained until the incremental conductance equals zero by comparing the instantaneous conductance of the panel with the incremental conductance. In addition to being easy to implement, INC-based methods offer rapid tracking and efficiency gains. Results from simulations demonstrate INC MPPT’s effectiveness in maximizing power extraction from photovoltaic systems, especially when environmental conditions change rapidly.
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El hassouni, Bennacer, Abdellatif G.AMRANI, and Ali HADDI. "A new MPPT technique for optimal and efficient monitoring in case of environmental or load conditions variation." International Journal of Information Technology and Applied Sciences (IJITAS) 3, no. 2 (2021): 18–28. http://dx.doi.org/10.52502/ijitas.v3i2.16.

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Due to the very high initial investment cost of photovoltaic systems and their low conversion efficiency, it is essential to operate PV generators at the point of maximum power (MPP). Within this framework, our first objective in this thesis is to develop and improve the PV system, contributing to optimizing the PV panels' energy through a DC-DC power electronics converter. For this reason, a further improvement of the incremental conductance technique is proposed to improve the MPP tracking capability of the PV system when the level of solar irradiation is suddenly increased or when the load undergoes variations. The new technique includes two processing phases: a calculation phase to improve the tracking speed and a regulation phase to improve MPP tracking efficiency. In order to evaluate its performance, the proposed new method is compared to other methods, namely the Incremental conventional conductance (INC) technique and the Modified Variable Size Incremental conductance (M-INC) technique. The results show that the proposed technique's overall tracking speed is 3.7 times faster than the conventional INC technique and 1.52 times faster than the modified INC technique. Also, the tracking power losses with the proposed technique are lower compared to other techniques. In terms of overall efficiency, the proposed technique is the most efficient with an efficiency of 94.83%, followed by the modified technique with an overall efficiency of 87.94%. In comparison, the conventional INC technique's efficiency is the lowest and does not exceed 83.33%.
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Giurgi, Gavril-Ionel, Lorant Andras Szolga, and Danut-Vasile Giurgi. "Benefits of Fuzzy Logic on MPPT and PI Controllers in the Chain of Photovoltaic Control Systems." Applied Sciences 12, no. 5 (2022): 2318. http://dx.doi.org/10.3390/app12052318.

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This paper presents a comparative study between two maximum power point tracking (MPPT) algorithms, the incremental conductance algorithm (InC) and the fuzzy logic controller (FLC). The two algorithms were applied to a low photovoltaic power conversion system, and they both use different PI controllers and grid synchronization techniques. Moreover, both InC and FLC methods have Clarke and Park Transformation. To some extent, the incremental conductance and fuzzy logic controller approaches are similar, but their control loops are different. Therefore, the InC has classic Proportional Integrative (PI) controllers with simple phase-locked loops (PLL). At the same time, the FLC works with fuzzy logic PI controllers linked with the Second Order Generalized Integrator (SOGI). The proposed techniques examine the solar energy conversion performance of the photovoltaic (PV) system under possible irradiance changes and constant temperature conditions. Finally, a performance comparison has been made between InC and FLC, which demonstrates the effectiveness of the fuzzy controller over the incremental conductance algorithm. FLC turns to convert photovoltaic power easily, decreasing fluctuations, and it offers a quick response to the variation of solar irradiance (shading effect). The simulation results show a superior performance of the controller with fuzzy logic, which helps the inverter convert over 99% of the power generated by the photovoltaic panels. In comparison, the incremental conductance algorithm converts around 80%.
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Pham, Van De. "OPTIMIZED CONTROL OF THE PHYSICAL BATTERY SYSTEM." AUSTENIT 15, no. 1 (2023): 21–30. https://doi.org/10.5281/zenodo.7882161.

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Today, a significant issue for many nations worldwide is a shortage of energy. Renewable energy sources, particularly solar energy, are being investigated as additional energy sources to address the aforementioned issue. The high investment cost and poor performance of solar energy, however, provide the biggest challenge. This study only addresses the power optimization problem. It is suggested that the method used to determine the solar system's maximum power point modify incremental conductance. Adapted Incremental Conductance algorithm based on Incremental Conductance conventional techniques. The Modified Incremental Conductance method, however, has several exceptional advantages since it has a voltage change (V) that is not constant but fluctuates in an ideal manner to achieve the maximum power point as soon as possible. The voltage V is greater away from the peak power point while it is zero at the peak power point. Modified incremental conductivity algorithm to find peak power point faster than traditional algorithms. With maximum power point change reducing ambient power loss at the highest powers point. This helps to optimize voltage difference value.
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Chuang, Man-Tsai, Yi-Hua Liu, and Song-Pei Ye. "A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor." Applied Sciences 10, no. 15 (2020): 5214. http://dx.doi.org/10.3390/app10155214.

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In this paper, a novel variable step size (VSS) incremental conductance (INC) method with an adaptive scaling factor is proposed. The proposed technique utilizes the model-based state estimation method to calculate the irradiance level and then determine an appropriate scaling factor accordingly to enhance the capability of maximum power point tracking (MPPT). The fast and accurate tracking can be achieved by the presented method without the need for extra irradiance and temperature sensors. Only the voltage-and-current sets of any two operating points on the characteristic curve are needed to estimate the irradiance level. By choosing a proper scaling factor, the performance of the conventional VSS INC method can be improved. To validate the studied algorithm, a 600 W prototyping circuit is constructed and the performances are demonstrated experimentally. Compared to conventional VSS INC methods under the tested conditions, the tracking time is shortened by 31.8%. The tracking accuracy is also improved by 2.1% and 3.5%, respectively. Besides, tracking energy loss is reduced by 43.9% and 29.9%, respectively.
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Dissertations / Theses on the topic "Incremental conductance method(INC)"

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Lee, Yu-Hsu, and 李育嬃. "A Modified Incremental Conductance Based Maximum Power Point Tracking Control Method for Photovoltaic Systems." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/69549155772768149524.

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碩士<br>國立勤益科技大學<br>電機工程系<br>99<br>The purpose of this thesis is to study on a novel maximum power point tracking (MPPT) method for photovoltaic (PV) systems. First, the simulation environment for PV systems is constructed by using PSIM software package. And a 516W PV system established with Kyocera KC40T solar modules is used as an example to finish the simulation of the proposed MPPT method. Also the Solar Pro software is used to create the same characteristics of the photovoltaic modules model for verification. The proposed intelligent MPPT algorithm based on the matter-element model and the extended correlation function makes full utilization of PV array output power which depends on solar insolation and ambient temperature. When using incremental conductance method, it usually should consider the tradeoff between the dynamic response and steady-state oscillation. Whereas, the proposed modified incremental conductance method based on extension theory can automatically adjust the step size to track the PV array maximum power point (MPP) and effectively improve the dynamic response and steady state performance of the PV systems simultaneously. In addition, a maximum power point tracker is implemented using the programmable system on a chip (PSoC) to reduce the hardware circuit size. Some experimental results are also made to verify that the proposed extension maximum power point tracking method can provide a good dynamic response and steady-state performance for a photovoltaic power generation system.
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Chen, Yao-hwa, and 陳耀驊. "Analysis and Design of PV MPPT Controller for DC Bus Applications by Incremental Conductance Method." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/wakh8x.

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碩士<br>國立臺灣科技大學<br>自動化及控制研究所<br>95<br>An incremental conductance (IC) derived MPPT PV stand-along DC bus system by constant-duty variable frequency control is proposed. Fast matching process to executing MPPT PV system is achieved by a simple control programming. The proposed PV system can provide enough energy to load as well as charging the battery with the residual energy. The feasibility is demonstrated by an example of 220W PV stand-along DC bus system with IC MPPT control. The MPPT tracking phenomenon for energy drawing from PV array and supply to load is quite close to the prediction
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Wu, Sheng-Da, and 吳昇達. "Nonlinear Phenomena of Boost DC-DC Converting Solar Cell System with Incremental Conductance Method for MPPT." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/19504198870692156552.

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碩士<br>龍華科技大學<br>電機工程系碩士班<br>103<br>In recent years, carbon reduction is the trend of the world, and inexhaustible solar power is booming. The current efficiency of solar power generation is still low, so to improve the power generation efficiency will be the research objective to scientists all over the world. The maximum power point tracking (MPPT) is a way to improve efficiency. Existing maximum power point tracking method is more common of incremental conductance method, perturbation and observation method and voltage feedback method and so on. Because of the output voltage of the solar cell is lower than the normal one, this thesis choose boost DC - DC converter as the converter system, to enhance the output voltage of the solar cell. In this thesis the nonlinear phenomena of boost DC-DC converting solar cell system with incremental conductance method for MPPT, varying load resistance and reference current are studied. Considering converter operation in continuous conduction mode (CCM) with inductor current, Firstly the solar cell maximum power tracking system and converter working principle are explained. Secondly, the construction of solar maximum power tracking with incremental conductance method and boost DC - DC converter equivalent circuit model, then mathematical model is derived, and modeled and simulated by MATLAB / SIMULINK software package. Through the time-domain waveforms, phase plane and bifurcation diagrams, to explore the changing the load resistance and the reference current system from a periodic steady-state into the chaos of nonlinear phenomena, chaos evolution mechanism of the system is analyzed.
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Book chapters on the topic "Incremental conductance method(INC)"

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Monu, Tanuj, and Shelly Vadhera. "Comparison of Perturb and Observe and Incremental Conductance MPPT Method in Matlab/Simulink." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9054-2_19.

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Hong, Ying-Yi, Sy Ngo, and Hoang-Phuong Van. "Improved Horse Racing Algorithm-Based Incremental Conductance Method for Mpp Tracking of PV Systems." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-76232-1_22.

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Ibnelouad, Aouatif, Abdeljalil El Kari, Hassan Ayad, and Mostafa Mjahed. "A Comprehensive Comparison of Two Behavior MPPT Techniques, the Conventional (Incremental Conductance (INC)) and Intelligent (Fuzzy Logic Controller (FLC)) for Photovoltaic Systems." In Modeling, Identification and Control Methods in Renewable Energy Systems. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1945-7_3.

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Kumar, Avdhesh. "Performance Analysis of Perturb & Observe and Incremental Conductance Method of Maximum Power Point Tracking in Solar PV-Based Power Generation." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6749-0_10.

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Wang, Min, Ke Li, Xiaoyu Zheng, Heng Zhang, and Qingshan Tan. "Research on Photovoltaic MPPT Based on Improved Whale-Conductance Increment Method." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2456-0_8.

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Xu, Jiaojiao, Minghao Zhou, William Cai, Xingguo Wu, and Rui Li. "Research on MPPT Algorithm Based on Variable Step Conductance Increment Method and Sliding Mode Control." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0873-4_68.

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Boubii, Chaymae, Ismail El Kafazi, Rachid Bannari, and Brahim El Bhiri. "A Comparative Study Between Optimization Algorithms of MPPT Algorithms (P&O and Incremental Conductance Method)." In Digital Technologies and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-29857-8_61.

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Ghosh, Arnab, Annesha Sahu, and Puja Barua. "Particle Swarm Optimization-Based MPPT for PV Applications and Its Comparison With Incremental Conductance Method." In Optimization Techniques for Hybrid Power Systems. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0492-1.ch013.

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The maximum power point tracking (MPPT) method for photovoltaic (PV) applications using incremental conductance (INC) and particle swarm optimization (PSO) is compared in this work. The chapter contains a comprehensive investigation of the underlying ideas and practical elements of the INC and PSO MPPT methodologies. The MPPT control system's PV module, DC-DC boost converter, and INC and PSO based MPPT algorithms are all simulated using MATLAB Simulink. A comparison of the system's performance under various solar irradiation rates—both fast and slow—is also made in the simulation. The simulation findings show that in terms of efficiency and accuracy, PSO-based MPPT surpasses the INC technique, mainly under variable weather and shading circumstances. The proposed investigation gives a thorough grasp of the advantages and disadvantages of PSO and INC-based MPPT approaches, as well as the possibilities for additional study.
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A, Chandramouli, Arulmurugan R, and Sivachidambaranathan. "Review of Performance Improvement of VSS FLC and NN MPPT Photo Voltaic Power System." In Intelligent Systems and Computer Technology. IOS Press, 2020. http://dx.doi.org/10.3233/apc200123.

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In this paper guides in the fuzzy logic and Neural network variable step size Incremental conductance maximum power point tracking controller were analyzed as well suggested on further work. Firstly, the Fuzzy Logic Control (FLC) controller based hardware system derived paper were discussed followed by Neural Network (NN) based VSS Inc-Cond were discussed in the second half. In the first paper derived simple FLC I.e short, medium and long distance were considered to derive the 25 rules. The input of FLC are current and voltage, the output of FLC is duty cycle or D. The duty cycle apply into variable step Inc-conductance method to find the optimal point of the PV system. Further discussed experimental block diagram of FLC-Inc-Cond system. At the end of the paper authors compared various hardware to show tabulations. In the second half, initially discussed conventional Inc-Cond, followed by general Fuzzy logic controller were discussed. Further author derived VSS Inc-Cond based NN MPPT were developed on Matlab simulink. The output of FLC-Inc Cond as well NN based MPPT is great performance when compare to conventional system.
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Messaoudi, Fethi, Fethi Farhani, and Abderrahmen Zaafouri. "Performance of Super-Twisting MPPT Control for a Standalone PV System." In Advances in Transdisciplinary Engineering. IOS Press, 2024. https://doi.org/10.3233/atde241228.

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Renewable energies are the key to sustainable development. They are the seat of a winning energy strategy. In particular, photovoltaic energy (PV) is one of the most widespread of these energies. But this energy suffers from its intermittency due to changing meteorological conditions, hence the need to follow the maximum power point of this energy at each moment. This paper focuses on the sliding mode control command to optimize the maximum power search. Thus we spread the evolved command on sliding mode control noted super twisting control as an MPPT approach. This latter is used in hybrid with the conventional incremental conductance similar method to the conventional hybridization incremental conductance-sliding mode control. The evolved approach is tested under MATLAB/Simulink with two other methods, such as the incremental conductance and its hybridization with sliding mode control. The results show a considerable minimization of the phenomena of ripple and chattering, thus improving MPPT efficiency.
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Conference papers on the topic "Incremental conductance method(INC)"

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Kumar, Sunil, Saurav Chandra, Navin Prakash, Anil Kumar, and Anju Mishra. "Incremental Conductance INC-MPPT Based Optimization of Solar Energy Harvesting System for WSN Nodes." In 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2024. https://doi.org/10.1109/pdgc64653.2024.10984098.

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Yang, Pingjian, Yanjin Jiang, Shuquan Lin, et al. "Maximum Power Point Tracking of Photovoltaic Cells Based on Improved Incremental Conductance Method." In 2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2024. https://doi.org/10.1109/iciscae62304.2024.10761464.

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Mohammadi, Sina Ahmadzadeh, S. Hamid Fathi, Hadi Goudarzhagh, and Sobhan Heidarbozorg. "A Modified Incremental Conductance based MPPT method for LLC Converter in PV Systems." In 2025 16th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC). IEEE, 2025. https://doi.org/10.1109/pedstc65486.2025.10912013.

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Lakshminarayanan, Sanjay, H. D. Kattimani, and Prashant A. Athavale. "An MPPT Charge Controller for Solar PV Installations Using the Incremental Conductance Method." In 2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF). IEEE, 2025. https://doi.org/10.1109/comp-sif65618.2025.10969962.

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Malavika, K. V., Kumar Reddy V. Mahesh, and Kumar K. Nanda. "Modelling and simulation of grid connected photovoltaic inverter using incremental conductance method." In INTERNATIONAL CONFERENCE ON TRENDS IN CHEMICAL ENGINEERING 2021 (ICoTRiCE2021). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0114261.

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Elgharbaoui, Elmahdi, Ahmed Essadki, and Tamou Nasser. "MPPT commands for a photovoltaic generator using the Incremental Conductance Method and the fuzzy logic command." In 2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM). IEEE, 2014. http://dx.doi.org/10.1109/cistem.2014.7077036.

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Wellawatta, Thusitha Randima, Young-Tae Seo, Hong-Hee Lee, and Sung-Jin Choi. "A regulated incremental conductance (r-INC) MPPT algorithm for photovoltaic system." In 2017 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2017. http://dx.doi.org/10.1109/ecce.2017.8096448.

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Halder, T. "A maximum power point tracker (MPPT) using the incremental conductance (INC) technique." In 2016 7th India International Conference on Power Electronics (IICPE). IEEE, 2016. http://dx.doi.org/10.1109/iicpe.2016.8079449.

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Safari, A., and S. Mekhilef. "Incremental conductance MPPT method for PV systems." In 2011 24th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2011. http://dx.doi.org/10.1109/ccece.2011.6030470.

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Safari, A., and S. Mekhilef. "Implementation of incremental conductance method with direct control." In TENCON 2011 - 2011 IEEE Region 10 Conference. IEEE, 2011. http://dx.doi.org/10.1109/tencon.2011.6129249.

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