Design of intelligent Maximum Power Point Tracking (MPPT) technique based on swarm intelligence based algorithms

Chakrabarti, Tapas; Sharma, Udit; Manna, Suvrajit; Chakrabarti, Tyajodeep; Sarkar, Subir Kumar

doi:10.1109/icpace.2015.7274938

Cited by 6 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The majority of the MPPT methods are specified previously to attain the maximum power point during the rapidly fluctuating climatic circumstances and partial shading conditions. The MPPT with Soft Computing (SC) techniques are familiarized to identify the MPP under uncertain climatic conditions effectively [18]. The best features of soft computing methods are predicted to accomplish tractability, flexibility to climate, quick changes in irradiance, low cost, instability, tolerance for imprecision and power.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Intelligent Controller Based MPPT for Photovoltaic System with Super Lift Boost Converter

Palanivel¹,

Udhayakumar

Pugazhendiran³

2020

Teh. vjesn

View full text Add to dashboard Cite

In recent years, the electrical energy demand increases gradually and the power generation does not meet the demand due to lack of fossil fuel and environmental issues. The only solution is to use renewable energy sources for generating electricity and meet the consumers demand. In this paper, photovoltaic power system analyses their performance under various weather conditions. The objective of this paper is comparing the different intelligent controllers such as Fuzzy, ANFIS and Hybrid Fuzzy & Firefly Algorithm (HFFA) for Maximum Power Point Tracking (MPPT) of 100 Watts PV system using a Super Lift Boost Converter (SLBC). The proposed intelligent controller is designed and simulated in MATLAB environment under various weather conditions. The simulation results have been analyzed and the performance of the proposed model evaluated with changing irradiation conditions. Finally, the performance of Hybrid Fuzzy and firefly based MPPT has been suggested as the optimum controller for the photovoltaic system.

show abstract

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Intelligent Controller Based MPPT for Photovoltaic System with Super Lift Boost Converter

Palanivel¹,

Udhayakumar

Pugazhendiran³

2020

Teh. vjesn

View full text Add to dashboard Cite

show abstract

“…The ABC algorithm has compared with the FA method under similar operating conditions. Obtained results revealed that the ABC algorithm provides less time to achieve MPP with high convergence velocity and less number of iterations …”

Section: Introductionmentioning

confidence: 99%

An improved hybrid PV‐wind power system with MPPT for water pumping applications

Priyadarshi

Padmanaban

Bhaskar

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

SUMMARY This work articulates the hybrid photovoltaic‐wind power system development for water pump applications. The proposed control scheme is based on modified Artificial Bee Colony (ABC)‐based on Maximum Power Point Tracking (MPPT) algorithm.. On power circuit part, the single CUK converter‐fed induction motor driven a centrifugal pump and has been employed, which improves the system overall performance. The proposed MPPT control provides the smooth propagation of the motor operation as well as forces the photovoltaic system to operate always in maximum power point (MPP) region. Further, the modified ABC algorithm strengthens searching competency and has been employed for the achievement of local optimal maximum power point (MPP) under partial shade conditions with high accuracy and zero oscillation around MPP region when compared with other optimized algorithms. Particle swarm optimization‐space vector pulse‐width modulation (PSO‐SVPWM) was adapted for the inverter; control with standard v/f control is implemented in this work for better speed regulation and reduction in total harmonic distortion. Moreover, the power balance of the integrated hybrid system to the DC bus has been discussed with practicality. This article also explains the comparison of different MPPT algorithms and includes PSO, ant colony optimization, firefly algorithm, and ABC under fast‐changing environmental conditions. In the case of classical ABC method, only one scout bee is responsible to achieve the local maximum. The proposed modified ABC has been used to improve searching capacity, with the addition of scout bees. Experimental results are presented and reveal that the modified ABC algorithm performs 7.5 times faster than the standard PSO technique. Prototype model in hardware setup is developed with MATLAB/Simulink interfaced with dSPACE DS 1104.

show abstract

“…Métodos meta-heurísticos têm como característica o uso de fatores aleatórios com o objetivo de tornar a busca mais completa [110]. Os métodos meta-heurísticos utilizados como MPPT na literatura são bem aceitos devido ao compromisso entre desempenho e complexidade [112].…”

Section: Métodos Baseados Em Inteligência Artificialunclassified

Estudo de técnicas de rastreamento de máxima potência tolerantes a sombras para sistemas fotovoltaicos

Moreira¹

View full text Add to dashboard Cite

A geração de um sistema fotovoltaico varia de acordo com as condições climáticas de irradiância e temperatura. Para manter o sistema continuamente produzindo a máxima potência, os conversores eletrônicos utilizam métodos de rastrear o ponto de máxima potência (MPPT). Os métodos mais comuns de MPPT causam variações na variável de controle e analisam o efeito na geração de potência. Esses métodos apresentam uma boa eficiência, entretanto, o arranjo fotovoltaico pode estar sob condições de sombreamento parcial. Sob essas condições, grandes variações são notadas nas curvas características I-V e P-V do arranjo fotovoltaico, fazendo com que as técnicas tradicionais de MPPT não sejam mais capazes de gerarem a máxima potência. Por isso , neste trabalho é estudada a modelagem de sistemas fotovoltaicos sob condições uniformes e parcialmente sombreados. Ademais, é feita uma revisão dos métodos de MPPT globais (GMPPT), que são técnicas que encontram o ponto de máxima potência global do sistema fotovoltaico. Para validar o funcionamento dos métodos estudados, os mesmos foram simulados e testados em um sistema fotovoltaico monofásico experimental. Os testes foram feitos para os módulos sob condições uniformes e sob condições de sombreamento parcial, e medidas de potência, eficiência, energia perdida devido ao sombreamento, e tempo de convergência foram feitas para análise e comparação. Os resultados mostraram que a maioria dos métodos de GMPPT convergiram para o ponto de máxima potência global. Os métodos do rastreamento pelo número de diodos de bypass e pela sequência de Fibonacci apresentaram os melhores resultados de velocidade de busca e eficiência.

show abstract

Design of intelligent Maximum Power Point Tracking (MPPT) technique based on swarm intelligence based algorithms

Cited by 6 publications

References 10 publications

Comparative Analysis of Intelligent Controller Based MPPT for Photovoltaic System with Super Lift Boost Converter

Comparative Analysis of Intelligent Controller Based MPPT for Photovoltaic System with Super Lift Boost Converter

An improved hybrid PV‐wind power system with MPPT for water pumping applications

Estudo de técnicas de rastreamento de máxima potência tolerantes a sombras para sistemas fotovoltaicos

Contact Info

Product

Resources

About