Takagi–Sugeno fuzzy‐based incremental conductance algorithm for maximum power point tracking of a photovoltaic generating system

Sekhar, P. C.; Mishra, Sukumar

doi:10.1049/iet-rpg.2013.0219

Cited by 52 publications

(26 citation statements)

References 29 publications

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“…As presented, the proposed technique shows a very fast tracking speed, a higher efficiency, and neglected oscillations around the MPP compared to other techniques. Thus, only the proposed algorithm and that proposed in [29] make a correct decision under sudden increase of irradiation, contrary to the conventional technique and those proposed in [30,31] which make an incorrect decision.…”

Section: Resultsmentioning

confidence: 86%

Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Motahhir¹,

Ghzizal²,

Sebti³

et al. 2018

International Journal of Photoenergy

137

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The first objective of this work is to determine some of the performance parameters characterizing the behavior of a particular photovoltaic (PV) panels that are not normally provided in the manufacturers' specifications. These provide the basis for developing a simple model for the electrical behavior of the PV panel. Next, using this model, the effects of varying solar irradiation, temperature, series and shunt resistances, and partial shading on the output of the PV panel are presented. In addition, the PV panel model is used to configure a large photovoltaic array. Next, a boost converter for the PV panel is designed. This converter is put between the panel and the load in order to control it by means of a maximum power point tracking (MPPT) controller. The MPPT used is based on incremental conductance (INC), and it is demonstrated here that this technique does not respond accurately when solar irradiation is increased. To investigate this, a modified incremental conductance technique is presented in this paper. It is shown that this system does respond accurately and reduces the steadystate oscillations when solar irradiation is increased. Finally, simulations of the conventional and modified algorithm are compared, and the results show that the modified algorithm provides an accurate response to a sudden increase in solar irradiation.

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Section: Resultsmentioning

confidence: 86%

Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Motahhir¹,

Ghzizal²,

Sebti³

et al. 2018

International Journal of Photoenergy

137

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“…It is fundamentally staged into: Fuzzification, Inference Engine, Rule Base and De-Fuzzification [2]. Due to speed limitations of P&O, an adaptive approach using a Takagi-Sugeno fuzzy along with incremental conductance was proposed by [71]. However, given the complexity of the design, efficiency is less than P&O approach.…”

Section: H Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

Photovoltaic MPPT Techniques Comparative Review

Lawan

Aboushady

Ahmed

2020

2020 9th International Conference on Renewable Energy Research and Application (ICRERA)

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This paper critically reviews some of the most recent maximum power point tracking (MPPT) techniques developed. It outlines the methods proposed in the papers published. The different techniques are grouped for compa following groups: Direct and indirect power point tracking, artificial intelligence tracking techniques and other developed methods. The paper also critically summarises the findings in terms of dynamic performance in maximum power extraction.

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“…According to these criteria, the Inc.Cond. technique can be considered as an appropriate candidate [17][18][19][20][21].…”

Section: Mpptmentioning

confidence: 99%

“…When compared to other simple, low cost MPPT algorithms as P&O [12], the main advantage of Inc.Cond. algorithm is that it can determine the accurate direction to reach the MPP thus decreasing the steady-state oscillations and improving system response under rapidly changing conditions [16][17][18][19][20][21]. However, regarding the algorithm structure, conventional Inc.Cond.…”

Section: Conventional Variable-step Incremental Conductance Techmentioning

confidence: 99%

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Improved performance low‐cost incremental conductance PV MPPT technique

Zakzouk

Elsaharty

Abdelsalam

et al. 2016

IET Renewable Power Generation

211

112

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Variable-step incremental conductance (Inc.Cond.) technique, for photovoltaic (PV) maximum power point tracking, has merits of good tracking accuracy and fast convergence speed. Yet, it lacks simplicity in its implementation due to the mathematical division computations involved in its algorithm structure. Furthermore, the conventional variable step-size, based on the division of the PV module power change by the PV voltage change, encounters steadystate power oscillations and dynamic problems especially under sudden environmental changes. In this study, an enhancement is introduced to Inc.Cond. algorithm in order to entirely eliminate the division calculations involved in its structure. Hence, algorithm implementation complexity is minimised enabling the utilisation of low-cost microcontrollers to cut down system cost. Moreover, the required real processing time is reduced, thus sampling rate can be improved to fasten system response during sudden changes. Regarding the applied step-size, a modified variable-step size, which depends solely on PV power, is proposed. The latter achieves enhanced transient performance with minimal steady-state power oscillations around the MPP even under partial shading. For proposed technique's validation, simulation work is carried out and an experimental set up is implemented in which ARDUINO Uno board, based on low-cost Atmega328 microcontroller, is employed

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Takagi–Sugeno fuzzy‐based incremental conductance algorithm for maximum power point tracking of a photovoltaic generating system

Cited by 52 publications

References 29 publications

Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Photovoltaic MPPT Techniques Comparative Review

Improved performance low‐cost incremental conductance PV MPPT technique

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