A review on current control techniques for inverter for three phase grid connected renewable sources

Paikray, Priyanka; Swain, Sarat Chandra; Dash, Ritesh; Panda, P. C.

doi:10.1109/ipact.2017.8245203

Cited by 11 publications

(7 citation statements)

References 15 publications

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“…The rule basis for the interference system is built using Madani's table technique, Defuzzification is used to convert the FLC results into duty cycle. [18] [19].…”

Section: Fuzzy Controllermentioning

confidence: 99%

Fuzzy and ANFIS Controllers to Improve the Power Quality of Grid Connected PV System with Cascaded Multilevel Inverter

Rupesh¹,

Vishwanath²

2021

IJEER

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In this paper, A Cascaded Multi level Inverter (CMLI) interconnected with the 10 KW PV System, Boost Converter along with Cascaded Feed Forwarded Neural Network (CFFNN) MPPT Controller is proposed to improve the Power Quality (PQ) for Linear, Non-linear and unbalanced loading conditions and minimize the total Harmonic Distortion (THD). The CMLI Consists of Novel type 9-Level Inverter with Reduced number of switches, and is connected to Bridged type inverter as cascaded, to get the required amount of Output voltage which can be used for grid integration. For controlling the inverter the Current controller is much required to control the current and to synchronize the Phase lock loop (PLL) is important. Here a new Adoptive Neuro Fuzzy Interface System (ANFIS) Control tuned with PI Controller is used to advance the performance of the power quality of the system under various loading conditions and undesired oscillations and THD can be improved compared with Conventional PI Controller and Fuzzy-PI Controller, Load voltage and current waveforms are analyzed under IEEE 519. The system is developed in the MATLAB environment to check the dynamic PV performance with MPPT controller and the results are found satisfactory.

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“…The rule basis for the interference system is built using Madani's table technique, Defuzzification is used to convert the FLC results into duty cycle. [18] [19].…”

Section: Fuzzy Controllermentioning

confidence: 99%

Fuzzy and ANFIS Controllers to Improve the Power Quality of Grid Connected PV System with Cascaded Multilevel Inverter

Rupesh¹,

Vishwanath²

2021

IJEER

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“…Linear controllers of four types are commonly used for grid current control. The first type is a stationary PI controller, in which the current is controlled in an a-b-c frame and PI controllers are used for three phases [4]. The main disadvantage is that the reference is AC (alternating current) rather than DC (direct current), and thus, open-loop gain is not infinite, affecting system performance.…”

Section: Introductionmentioning

confidence: 99%

A Current Control Method for Grid-Connected Inverters

Zhang,

Wang,

et al. 2023

Energies

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It is simple to implement conventional current control with a proportional integral (PI) controller. However, system stability and dynamic performance are not perfect, particularly when operating under unfavorable conditions. In this paper, an improved control method is proposed by introducing a compensation unit. The compensation unit can effectively compensate the system’s phase around the crossover frequency, greatly enhancing the system’s phase margin and stability. It is also capable of handling weak-grid conditions. In this paper, the concept of the proposed compensation unit is explained first. Then, the corresponding mathematical model for the current control loop is built, and system bode diagrams for the conventional and proposed methods are compared. Furthermore, the effect of the parameters for the compensation unit is investigated, and an optimization method is proposed to determine optimal parameters. In addition, to handle weak-grid conditions, the proposed scheme is expanded by including the compensation unit in the grid’s feed-forward loop. Finally, an experimental platform is constructed, and the experimental results are presented to validate the proposed method.

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“…Various control strategies also have a tremendous effect on rectifier performance 9 . As digital technology has developed tremendously, more advanced and intelligent control algorithms such as adaptive control, predictive control, and fuzzy control were discussed 10–13 .…”

Section: Introductionmentioning

confidence: 99%

“…Various control strategies also have a tremendous effect on rectifier performance. 9 As digital technology has developed tremendously, more advanced and intelligent control algorithms such as adaptive control, predictive control, and fuzzy control were discussed. [10][11][12][13] While these algorithms have been put forward to monitor and control the rectifier explicitly, it is difficult for an ordinary processor to quantify the complexity.…”

mentioning

confidence: 99%

Design and control aspect of segmented proportional integral‐repetitive controller parameter optimization of the three‐phase boost power factor correction rectifier

Ali

Wang

Chen

2020

Circuit Theory & Apps

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Summary This paper presented a modeling and control aspect with an offline‐based parameter optimization algorithm for effectively tuning the controller parameters of the three‐phase boost power factor correction (PFC) rectifier system. While analyzing the shortcomings of the traditional PI control with complex control transfer functions from small‐signal models and investigating the limitations of PI control on harmonic suppression from the internal model principle, a simplified form of control transfer functions based on the small‐signal model has been proposed with segmented control action. Consequently, the methodology has the advantages of both simplified control strategies and segmented PI‐repetitive control so as to achieve the performance of high‐power factor and to reduce total harmonic distortion in a broad range of load conditions. However, the segmented PI‐repetitive control contains many control parameters. Thus, the solution and optimization for tuning the controller parameters based on heuristic offline optimization technique have been used to speed up the design of control system parameters. The validity and feasibility of the proposed design and optimization are verified using a 5‐kW three‐phase PFC rectifier with digital signal processor (DSP) TMS320F28335 prototype hardware. The results were then compared with those of traditional controller designs, which show the improvements and effectiveness of rectifier performance after adopting the proposed design and optimization technique.

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A review on current control techniques for inverter for three phase grid connected renewable sources

Cited by 11 publications

References 15 publications

Fuzzy and ANFIS Controllers to Improve the Power Quality of Grid Connected PV System with Cascaded Multilevel Inverter

Fuzzy and ANFIS Controllers to Improve the Power Quality of Grid Connected PV System with Cascaded Multilevel Inverter

A Current Control Method for Grid-Connected Inverters

Design and control aspect of segmented proportional integral‐repetitive controller parameter optimization of the three‐phase boost power factor correction rectifier

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