Intelligent controller based MPPT method for the Photovoltaic power system

Anandhakumar, G.; Venkateshkumar, M.; Shankar, P.

doi:10.1109/ichci-ieee.2013.6887790

Cited by 9 publications

(7 citation statements)

References 6 publications

(2 reference statements)

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“…The efficiency of power generation is very low (the range of efficiency is only 9 -17% in low irradiation regions). Therefore, MPPT technologies have an important role to operate the PV with the maximum power generation at various weather conditions [12][13][14][15][16]. The different MPPT techniques are established with respect to usage of equipment and cost.…”

Section: Mppt Controllersmentioning

confidence: 99%

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

Palanivel¹,

Udhayakumar

Pugazhendiran³

2020

Teh. vjesn

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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.

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Section: Mppt Controllersmentioning

confidence: 99%

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

Palanivel¹,

Udhayakumar

Pugazhendiran³

2020

Teh. vjesn

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“…The PV equivalent circuit can be modeled by putting the current source and diode in parallel and two parasitic resistances, as illustrated in Figure 1. Basically, the current source of PV cell device and output current are directly proportional to sun light falling on the cell [6]. .…”

Section: Modelling Of Pv Systemmentioning

confidence: 99%

Power Flow Management in Photovoltaic Energy System Using Multiport DC-DC Converter

Al-Chlaihawi¹,

Ali²,

Alrubei³

2020

Proceedings of the Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart

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In this paper, the power flow controller for multi-port DC-DC converter was modified, so it mediator a photocell, a storage element and an isolated load. The MOSFET switches are used to design the presented model to manage the flowing power of load voltage and two sources independently. Theoretical researches are implemented to prove the capability of the controllers to regulate the flowing of power for the photovoltaic generator and the storage element while maintaining the load in three cases. First, the photovoltaic power is greater, less and equal to load resistance and maintaining the switches in the best condition for each case. Finally, the power of the photovoltaic generator follows the direction proposed by the MOSFEST switcher's control.

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“…The open-circuit voltage, V OC , is the extreme voltage offered from a PV cell, and this happens at zero current. The open-circuit voltage links to the amount of forward bias on the PV cell due to the bias of the PV cell junction with the light-generated current [5,6]:…”

Section: Open-circuit Voltagementioning

confidence: 99%

“…Renewable energy sources play an important role in meeting consumer power demand due to their abundant availability and lesser impact on the environment [5]. The main hurdle in PV energy expansion is the investment cost of the PV power system implementation.…”

Section: Maximum Power Point Tracking (Mppt) For Photovoltaic Systemmentioning

confidence: 99%

Fuzzy Controller-Based MPPT of PV Power System

Venkateshkumar¹

2018

Fuzzy Logic Based in Optimization Methods and Control Systems and Its Applications

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The power demand has been increasing day by day due to population growth, new industrial development, etc. Meeting power demand is one of the challenge factors for fossil fuel-based power generation alone as well as the environmental issue of carbon footprint. Consequently, there is a need to concentrate on alternate energy sources to meet the power demand. In this chapter, the photovoltaic (PV) cell operation under various weather conditions is analysed, and based on the performance, the MPPT controller is developed by using fuzzy logic controller. The proposed system has been modelled in MATLAB environment, and the system performance has been analysed. Finally, the simulation results are evaluated and compared with IEEE 1547 standard for proving the effectiveness of the proposed system.

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Intelligent controller based MPPT method for the Photovoltaic power system

Cited by 9 publications

References 6 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

Power Flow Management in Photovoltaic Energy System Using Multiport DC-DC Converter

Fuzzy Controller-Based MPPT of PV Power System

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