An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems

Liu, Chunliang; Chen, Jing-Hsiao; Liu, Yihua; Yang, Zong‐Zhen

doi:10.3390/en7042177

Cited by 82 publications

(49 citation statements)

References 35 publications

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“…This technique does not require the model of the system but necessitates the thorough knowledge about the system [2,[5][6][7][8][9]. The inputs for the fuzzy logic controller are power error and change in power error.…”

Section: Fuzzy Control Methods For Mpptmentioning

confidence: 99%

“…Fuzzy logic is recently employed for control of tracking the maximum power in Solar PV [5][6][7][8][9] and Wind Energy systems [10,11]. This technique does not require the model of the system but necessitates the thorough knowledge about the system [2,[5][6][7][8][9].…”

Section: Fuzzy Control Methods For Mpptmentioning

confidence: 99%

“…In this paper a Fuzzy Logic based MPPT is proposed [5][6][7][8][9][10] for the HPS, which can electrify a village load or an industrial load of 80 kW Peak. The output voltage from solar PV system varies from 150 V to 850 V according to solar irradiation level and temperature.…”

Section: Hybrid Power System Configurationmentioning

confidence: 99%

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Modeling and simulation of stand-alone hybrid power system with fuzzy MPPT for remote load application

Bogaraj

Kanakaraj

Chelladurai

2015

Archives of Electrical Engineering

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Many parts of remote locations in the world are not electrified even in this Advanced Technology Era. To provide electricity in such remote places renewable hybrid energy systems are very much suitable. In this paper PV/Wind/Battery Hybrid Power System (HPS) is considered to provide an economical and sustainable power to a remote load. HPS can supply the maximum power to the load at a particular operating point which is generally called as Maximum Power Point (MPP). Fuzzy Logic based MPPT (FLMPPT) control method has been implemented for both Solar and Wind Power Systems. FLMPPT control technique is implemented to generate the optimal reference voltage for the first stage of DC-DC Boost converter in both the PV and Wind energy system. The HPS is tested with variable solar irradiation, temperature, and wind speed. The FLMPPT method is compared with P&O MPPT method. The proposed method provides a good maximum power operation of the hybrid system at all operating conditions. In order to combine both sources, the DC bus voltage is made constant by employing PI Controllers for the second stage of DC-DC Buck-Boost converter in both Solar and Wind Power Systems. Battery Bank is used to store excess power from Renewable Energy Sources (RES) and to provide continuous power to load when the RES power is less than load power. A SPWM inverter is designed to convert DC power into AC to supply three phase load. An LC filter is also used at the output of inverter to get sinusoidal current from the PWM inverter. The entire system was modeled and simulated in Matlab/Simulink Environment. The results presented show the validation of the HPS design.

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Section: Fuzzy Control Methods For Mpptmentioning

confidence: 99%

Section: Fuzzy Control Methods For Mpptmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and simulation of stand-alone hybrid power system with fuzzy MPPT for remote load application

Bogaraj

Kanakaraj

Chelladurai

2015

Archives of Electrical Engineering

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“…Between the applications of fuzzy logic, fuzzy control (FC) has been one of the fields where fuzzy techniques have obtained a greater amount of successful results working with complex nonlinear systems or even nonanalytic ones [51,52]. FLC is composed by a knowledge base where its parameters can be determined without an exact model of the system [53][54][55].…”

Section: Fuzzy Logic Control (Flc)mentioning

confidence: 99%

A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

et al. 2018

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Abstract:Energy storage has become a fundamental component in renewable energy systems, especially those including batteries. However, in charging and discharging processes, some of the parameters are not controlled by the battery's user. That uncontrolled working leads to aging of the batteries and a reduction of their life cycle. Therefore, it causes an early replacement. Development of control methods seeks battery protection and a longer life expectancy, thus the constant-current-constant-voltage method is mostly used. However, several studies show that charging time can be reduced by using fuzzy logic control or model predictive control. Another benefit is temperature control. This paper reviews the existing control methods used to control charging and discharging processes, focusing on their impacts on battery life. Classical and modern methods are studied together in order to find the best approach to real systems.

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“…Recently, the fuzzy logic controller has received increased attention from researchers for converter control and MPPT design [8][9][10][11][12][13][14]. Details and issues of the design of PV generators interfaced with MPP-tracking converters were reported in [15,16].…”

Section: Introductionmentioning

confidence: 99%

Circuit Simulation for Solar Power Maximum Power Point Tracking with Different Buck-Boost Converter Topologies

et al. 2014

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Abstract:The power converter is one of the essential elements for effective use of renewable power sources. This paper focuses on the development of a circuit simulation model for maximum power point tracking (MPPT) evaluation of solar power that involves using different buck-boost power converter topologies; including SEPIC, Zeta, and four-switch type buck-boost DC/DC converters. The circuit simulation model mainly includes three subsystems: a PV model; a buck-boost converter-based MPPT system; and a fuzzy logic MPPT controller. Dynamic analyses of the current-fed buck-boost converter systems are conducted and results are presented in the paper. The maximum power point tracking function is achieved through appropriate control of the power switches of the power converter. A fuzzy logic controller is developed to perform the MPPT function for obtaining maximum power from the PV panel. The MATLAB-based Simulink piecewise linear electric circuit simulation tool is used to verify the complete circuit simulation model.

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An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems

Cited by 82 publications

References 35 publications

Modeling and simulation of stand-alone hybrid power system with fuzzy MPPT for remote load application

Modeling and simulation of stand-alone hybrid power system with fuzzy MPPT for remote load application

A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

Circuit Simulation for Solar Power Maximum Power Point Tracking with Different Buck-Boost Converter Topologies

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