Fuzzy MPP method improved by a short circuit current estimator, applied to a grid-connected PV system

Díaz, Nelson L.; Hernández, Johann; Duarte, Oscar

doi:10.1109/compel.2010.5562433

Cited by 11 publications

(4 citation statements)

References 11 publications

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“…The relationship between (I MP P ) and (I sc ), can be described by (9), where The value of the constant K depends on characteristics of the PV generator [4]. For this case K ≈ 0.92.…”

Section: Short Circuit Current Methodsmentioning

confidence: 99%

Improved MPPT short-circuit current method by a fuzzy short-circuit current estimator

Díaz

Luna

Duarte

2011

2011 IEEE Energy Conversion Congress and Exposition

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Several Maximum Power Point Tracking MPPT methods have been proposed looking for more efficient Photovoltaic (PV) system. Some of them are simple but imply low efficiency compared with more sophisticated method. The shortcircuit current is a simple method to achieve the maximum power point based on the fact that the current at the maximum power point is proportional to the short circuit current. Nevertheless, the measurement of the short circuit current implies high waste of energy. In this paper a short circuit current estimator based on a Takagi-Sugeno fuzzy model of the PV array is proposed looking for overcoming the main disadvantages of the short circuit current method. The short-circuit current could be estimated under any weather condition in real time, without disconnecting the photovoltaic generator and measuring it. Simulation in a grid connected system shows attractive features such as high accuracy, and simple design. This method is validated by experiments using a two-stage single-phase, grid-connected inverter.

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“…The relationship between (I MP P ) and (I sc ), can be described by (9), where The value of the constant K depends on characteristics of the PV generator [4]. For this case K ≈ 0.92.…”

Section: Short Circuit Current Methodsmentioning

confidence: 99%

Improved MPPT short-circuit current method by a fuzzy short-circuit current estimator

Díaz

Luna

Duarte

2011

2011 IEEE Energy Conversion Congress and Exposition

Self Cite

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“…-Step 2: Initialize the k-th iteration and the index of the i-th particle at 1. -Step 3: If k ≤ N p, the command which will be generated by the i-th particle is determined by applying Equation (8).…”

Section: Improved Pso Methodsmentioning

confidence: 99%

“…Recently, a large number of research proposed different maximum power point tracking (MPPT) techniques. Traditional MPPT algorithms, such as power feedback, incremental conductance [6], short circuit current [7,8], open circuit voltage, ripple correlation control (RCC), and perturb and observe methods [9] require little hardware equipment and low computational burden. Nevertheless, they suffer of some drawbacks such as poor tracking accuracy, oscillations around the MPP, and/or long tracking time which reduces the system efficiency under rapidly changing environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions

et al. 2020

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

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“…Because of that, the generation of the maximum available power is not guaranteed under all electrical loads. To transfer maximum power to the grid from PV cells, Transferring the power to the grid is completed in two stages [4]- [7]. One of stages consists of a dc-dc converter including MPPT algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Simpler Single-Phase Single-Stage Grid-Connected PV System with Maximum Power Point Tracking Controller

Börekçi

Kandemir

Kirçay

2015

ElAEE

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Generating electrical power from solar energy is very popular. There are many studies aiming at increasing the efficiency and designing simpler systems. Electrical power generated by PV cells depends on solar irradiances, ambient temperatures and electrical loads. To transfer maximum available power from PV cells to the grid, Maximum Power Point Tracker (MPPT) algorithms have been developed and implemented. In this study, a simpler single-phase single-stage grid connected system has been designed and analysed. The proposed circuit does not require complex circuitries and modulation techniques. A 175 Watt prototype system is implemented. Under different environmental conditions, the control unit forces the system to operate at the maximum available power.

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Fuzzy MPP method improved by a short circuit current estimator, applied to a grid-connected PV system

Cited by 11 publications

References 11 publications

Improved MPPT short-circuit current method by a fuzzy short-circuit current estimator

Improved MPPT short-circuit current method by a fuzzy short-circuit current estimator

Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions

A Simpler Single-Phase Single-Stage Grid-Connected PV System with Maximum Power Point Tracking Controller

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