Reparation of voltage disturbance using PR controller-based DVR in Modern power systems

Danalakshmi, D.; Prathiba, S; Ettappan, M.; Krishna, D. Mohan

doi:10.30657/pea.2021.27.3

Cited by 7 publications

(4 citation statements)

References 16 publications

(24 reference statements)

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“…One significant disadvantage of the nonlinear controller is that derivative operations can create issues with electromagnetic interference on inverter switching, resulting in substantial control errors. actually, a high pass filter can be used to substitute the derivative behavior, which improves performance while attenuating high frequency noise in sensors and cables [35], [38].…”

Section: Dvr Control Typesmentioning

confidence: 99%

A New Technique Implemented in Synchronous Reference Frame for DVR Control Under Severe Sag and Swell Conditions

et al. 2022

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Nowadays, power quality under the excessive implementation of power electronics devices is quite challenging issue. The compensation of non-sinusoidal; reactive and harmonic; components is the main role for power quality devices which highly depend on the robustness of the control system. Some common control systems are implemented using DQ theory. This paper proposes a new version of DQ control technique to control dynamic voltage restorer under severe transient voltage conditions. The power system network with the new DQ control technique is studied and analyzed under different scenarios to compensate for severe balanced and unbalanced voltage sags and swells. This new scheme is based on extraction of positive sequence components to implement the control algorithm. A mathematical model of the DVR, hysteresis voltage control, converter controller model, new DQ scheme with complete system equations are carried out and verified using Simulink / MATLAB. The proposed system is validated experimentally using DSpace 1104 based laboratory system. The obtained results of the proposed compensation algorithm are compared with the results obtained from the traditional DQ method. Simulation and experimental results are correlated and show effectiveness of the proposed DQ control scheme.

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Section: Dvr Control Typesmentioning

confidence: 99%

A New Technique Implemented in Synchronous Reference Frame for DVR Control Under Severe Sag and Swell Conditions

et al. 2022

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“…By setting the fundamental frequency point, the PR controller has sufficient gain at the fundamental frequency point while the gains at other points remain unchanged, thus achieving accurate and error-free tracking of the fundamental wave of the AC signal. [17][18][19][20] But the control frequency band of the PR controller is narrow and it can only achieve sufficient gain at a fixed frequency. 11 Negi et al 21 used the PR controller to realize an improved damping strategy that has enough stability margin, but requires an accurate model of the system and high online computational requirements.…”

Section: Introductionmentioning

confidence: 99%

Research on the control strategy of LCL grid-connected inverters based on improved auto disturbance rejection

Han,

Xu,

Kang

et al. 2023

Science Progress

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The grid-connected inverter is the key to ensure stable, reliable, safe, and efficient operation of the power generation system; the quality of the grid-connected output current waveform directly affects the performance of the entire power generation system. To improve the anti-interference performance and reduce the output current harmonic content of the grid-connected inverter, an improved control strategy that combined repetitive control (RC) and auto disturbance rejection control (ADRC) is designed in this paper. Firstly, decoupled the ADRC to realize the individual adaptation between tracking performance parameters and anti-interference performance parameters of the controller, through which the difficulty of adjusting parameters is reduced. Secondly, the control approach is devised by adding RC to ADRC. To demonstrate the effectiveness of the proposed method in this paper, detailed experimental studies are conducted using proportional integral control, traditional ADRC, and the proposed method under normal power grids, weak power grids, and periodic disturbances. And dynamic performance simulation experiment is done to verify the dynamic performance of the self-disturbance rejection controller before and after the addition of RC links. The results indicated the effectiveness and feasibility of the proposed method. Finally, after simulation, the steady state and dynamic performance are conducted on a hardware testing platform. The impacts of the obtained results indicate the effectiveness and feasibility of the control algorithm proposed, the ability to suppress intermediate frequency disturbances is improved, the bandwidth of the auto disturbance rejection controller is expanded, and the harmonic content of the output current is depressed.

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“…To improve the efficiency of SG, the Machine Learning (ML) algorithms are integrated into SG (van Kooten, 2013). The quality of power should be maintained using the technologies like dynamic voltage regulator in SG (Danalakshmi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Random forest based power sustainability and cost optimization in smart grid

Durairaj¹,

Wróblewski

Joseph³

et al. 2022

Production Engineering Archives

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Presently power control and management play a vigorous role in information technology and power management. Instead of non-renewable power manufacturing, renewable power manufacturing is preferred by every organization for controlling resource consumption, price reduction and efficient power management. Smart grid efficiently satisfies these requirements with the integration of machine learning algorithms. Machine learning algorithms are used in a smart grid for power requirement prediction, power distribution, failure identification etc. The proposed Random Forest-based smart grid system classifies the power grid into different zones like high and low power utilization. The power zones are divided into number of sub-zones and map to random forest branches. The sub-zone and branch mapping process used to identify the quantity of power utilized and the non-utilized in a zone. The non-utilized power quantity and location of power availabilities are identified and distributed the required quantity of power to the requester in a minimal response time and price. The priority power scheduling algorithm collect request from consumer and send the request to producer based on priority. The producer analysed the requester existing power utilization quantity and availability of power for scheduling the power distribution to the requester based on priority. The proposed Random Forest based sustainability and price optimization technique in smart grid experimental results are compared to existing machine learning techniques like SVM, KNN and NB. The proposed random forest-based identification technique identifies the exact location of the power availability, which takes minimal processing time and quick responses to the requestor. Additionally, the smart meter based smart grid technique identifies the faults in short time duration than the conventional energy management technique is also proven in the experimental results.

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Reparation of voltage disturbance using PR controller-based DVR in Modern power systems

Cited by 7 publications

References 16 publications

A New Technique Implemented in Synchronous Reference Frame for DVR Control Under Severe Sag and Swell Conditions

A New Technique Implemented in Synchronous Reference Frame for DVR Control Under Severe Sag and Swell Conditions

Research on the control strategy of LCL grid-connected inverters based on improved auto disturbance rejection

Random forest based power sustainability and cost optimization in smart grid

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