Designing of a fuzzy controller for grid connected photovoltaic system's converter and comparing with PI controller

Başaran, Kıvanç; Çetin, Numan Sabit

doi:10.1109/icrera.2016.7884437

Cited by 17 publications

(11 citation statements)

References 5 publications

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“…A comparison between the MPPT technique using the fuzzy PI controller in a hybrid cascade, and the MPPT technique using the "perturb and observe" (P&O) algorithm, was presented in the work [12]. A comparative study between the control of the DC-DC converter of boost type and the threephase inverter with the fuzzy logic controller or PI controller was presented in work [13].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of a Photovoltaic System Connected to a Three-Phase Grid by Using PI or Fuzzy Logic Controllers

Livinti

2021

Sustainability

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This work presents a comparative study for a photovoltaic system connected to a three-phase grid through a three-phase inverter controlled by a fuzzy logic controller or through a proportional-integral (PI) controller. The innovative aspect of this article consists of the elaboration of two models in MATLAB–Simulink for the photovoltaic system consisting of 40 photovoltaic panels and of the control algorithms of the three-phase inverter for each type of controller. The comparative analysis of the results obtained through simulation has established that the use of the fuzzy logic controller (for controlling the three-phase inverter) leads to transferring to the alternative current (AC) grid an electric power of 6.5 kW, whilst the use of the PI type controller leads to transferring to the AC grid an electric power of 4.6 kW under the same value of the intensity of solar radiation. The total harmonic distortion (THD) of the voltage resulting after the filtering circuit has a lower value in case of using the fuzzy logic controller than in case of using the PI controller. Through the usage of the fuzzy logic controller for controlling the inverter, an increase in quantity and quality of the electric energy introduced to an AC grid from a photovoltaic system was noticed, compared to the usage of a PI controller.

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Section: Introductionmentioning

confidence: 99%

Comparative Study of a Photovoltaic System Connected to a Three-Phase Grid by Using PI or Fuzzy Logic Controllers

Livinti

2021

Sustainability

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“…But comparing to conventional PI or deadbeat control, fuzzy logic controller needs perfect logic rules programming with expert experience. e grid current has a steady-state amplitude error and phase error, and the system has limited anti-interference ability [9,10]. Otherwise, the deadbeat algorithm is based on the mathematical model of the full-bridge circuit to obtain the control signal required for the next control cycle.…”

Section: Introductionmentioning

confidence: 99%

Research on Improved Deadbeat Control Strategy Based on Interpolation Prediction and Online Inductance Identification

Xie

Xue

et al. 2020

Journal of Electrical and Computer Engineering

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Aiming at the problem of control delay and inductance deviation, which exist in the traditional deadbeat control of the full-bridge circuit, an improved deadbeat control strategy was proposed. An improved Newton interpolation prediction algorithm was proposed to compensate the delay problem of deadbeat control, and an on-line inductance identification algorithm based on double frequency sampling was proposed to correct the inductance deviation. A mathematical model of deadbeat control for full-bridge inverter was established; besides, the performance of different interpolation prediction algorithms was analyzed. An online inductor identification model is established, on the basis of which the online inductance identification compensation formula is derived. It is indicated that an output constant current of 10 A is available with the deadbeat control relative error of only 0.2%, the grid-connected power factor up to 0.999, and the output current’s total harmonic distortion of only 2.37%. The prototype experiment shows that the output current’s total harmonic distortion is as low as 2.403% and the power factor is as high as 0.998. The results show that the improved deadbeat control strategy can effectively improve the control accuracy and the quality of grid-connected power.

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“…Along with this, various optimization techniques can be applied to optimize control parameters [14]. But a few research is undergone for load frequency control considering fuzzy logic controller in the system [15]- [18]. However less work has been carried out for LFC in multi source multi area system taking FLC in to consideration.…”

Section: Introductionmentioning

confidence: 99%

A Robust Fuzzy Logic Controller Design for Load Frequency Control of Hydro Thermal Power Generating Stations

Nayak*,

Maharana

2020

IJITEE

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This article analyses the contribution of Fuzzy logic controller in a two source two area hydro thermal system aimed at load frequency control of the system. The proposed two area two source hydro thermal system is observed for different system parameter change to realize the dynamic behavior of frequency along with the interchanged power through tie line. To begin with, hydro and thermal power plants in a single control area for a step load variation is reviewed and the results for PI along with fuzzy logic controller are compared. Additionally a two source two area system is considered and the frequency and tie line power deviation with fuzzy logic controller is matched with results of PI controller. To witness the superiority of fuzzy logic controller, the connected generating system is run for different system parameter change. Simulation outcomes revealed that the recommended fuzzy logic controller put in enhanced output response when compared with conventional PI controller. The offsets found with the conventional controller can be estimably fell off with the suggested fuzzy logic controller.

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Designing of a fuzzy controller for grid connected photovoltaic system's converter and comparing with PI controller

Cited by 17 publications

References 5 publications

Comparative Study of a Photovoltaic System Connected to a Three-Phase Grid by Using PI or Fuzzy Logic Controllers

Comparative Study of a Photovoltaic System Connected to a Three-Phase Grid by Using PI or Fuzzy Logic Controllers

Research on Improved Deadbeat Control Strategy Based on Interpolation Prediction and Online Inductance Identification

A Robust Fuzzy Logic Controller Design for Load Frequency Control of Hydro Thermal Power Generating Stations

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