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Proceedings ArticleDOI

Current mode control of Dynamic Voltage restorer for power quality improvement in distribution system

TL;DR: In this paper, a new control strategy based on current mode control for dynamic voltage restorer (DVR) is proposed to mitigate the power quality problems in the supply voltage, which is controlled indirectly by controlling the supply current.
Abstract: In this paper, a new control strategy based on current mode control for dynamic voltage restorer (DVR) is proposed to mitigate the power quality problems in the supply voltage The DVR is controlled indirectly by controlling the supply current The reference supply currents are estimated using the sensed load terminal voltages and the dc bus voltage of DVR The control scheme is based on synchronous reference frame theory (SRFT) for the operation of a capacitor supported DVR The control strategy is verified through extensive simulation studies using MATLAB with its Simulink and power system blockset (PSB) toolboxes to demonstrate the improved performance of DVR
Citations
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Journal ArticleDOI
TL;DR: In this paper, an efficient improved particle swarm optimisation technique for optimizing the gain parameters of the PI controller has been proposed and extensive results of the proposed method are presented and compared with conventional Ziegler Nichols and genetic algorithm methods of tuning gain parameter of PI controllers.
Abstract: This paper has discussed the study of the performance of dynamic voltage restorer (DVR) taking different voltage sag conditions in the supply voltage of the distribution system for linear and non-linear load. DVR is employed to mitigate the voltage sag. Proportional and integral (PI) controller is used for the control of DVR to mitigate the voltage sag. Synchronous reference frame theorybased control algorithm has been implemented for generating reference voltages. In this paper, an efficient improved particle swarm optimisation technique for optimizing the gain parameters of the PI controller has been proposed. The performance and suitability of DVR is validated through MATLAB simulation results and use of Sim Power Systems Blocksets. Integral squared error is implemented to check the performance and suitability of DVR. Extensive results of the proposed method are presented and compared with conventional Ziegler Nichols and genetic algorithm methods of tuning gain parameters of PI controllers.

14 citations


Cites methods from "Current mode control of Dynamic Vol..."

  • ...Various control algorithms are reported in the literature such as PI controller– based current mode control (Iyer et al., 2005; Jayaprakash et al., 2008), instantaneous symmetrical components (Ghosh & Joshi, 2002; Ghosh & Ledwich, 2001), p-q theory (Popescu, Bitoleanu, & Suru, 2013), Icosθ (Singh &…...

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Journal ArticleDOI
TL;DR: In this article , a solar PV integrated DVR using a rotating dq reference frame controller to improve power quality issues is presented. And the optimal tuning of the PI controller is achieved by using the Adaptive Neuro-Fuzzy Inference System (ANFIS).

8 citations

Proceedings ArticleDOI
28 May 2014
TL;DR: In this article, a three-phase three wire battery supported DVR is considered to compensate voltage sag, swells, unbalance, harmonics and their combinations in supply voltage for linear loads.
Abstract: The Dynamic Voltage Restorer (DVR) is the series connected Custom Power Device (CPDs) to compensate voltage based distortions such as voltage sag, swells, unbalance and harmonics, flickers etc. for a linear & non-linear sensitive load. In this paper, a three-phase three wire battery supported DVR is considered to compensate voltage sag, swells, unbalance, harmonics and their combinations in supply voltage for linear loads. A well known Synchronous Reference Frame Theory (SRFT) has been used to generate the required voltage injection by DVR. MATLAB/SIMULINK based simulation results are demonstrated to verify the performance of battery supported DVR.

3 citations

DOI
23 Jun 2013
TL;DR: In this article, a battery based dynamic voltage restorer (DVR) is proposed to mitigate voltage sag and swell using Synchronous Reference Frame Theory (SRFT) for battery-based DVR.
Abstract: This paper describes the mitigation of voltage sag and swell using battery based dynamic voltage restorer (DVR). The DVR is a power electronic based converter that provides three-phase controllable voltage source, whose magnitude of voltage and angle adds/subtracts to the source voltage during sag/swell. The DVR can inject a voltage at fundamental frequency in each phase of required magnitude and phase. The DVR can restore the load voltage within few milliseconds. DVR is a fast and efficient solution to voltage sag and voltage swell problems. The estimation of references voltages are based on Synchronous Reference Frame Theory (SRFT) and gate pulses are generated by sensing the source, load terminal voltages and supply currents. The Mitigation of voltage sag and swell using SRFT for Battery based DVR is simulated by using MATLAB/ SIMULINK and power system Block set (PSB) toolboxes.

2 citations


Cites background from "Current mode control of Dynamic Vol..."

  • ...Voltage sags are mainly due to system faults and its magnitude caused by faults depend upon the distance of the fault location from the bus here the sag is measured [6]....

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References
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Book
01 Oct 1999
TL;DR: This is the first book to offer in-depth analysis of voltage sags and interruptions and to show how to apply mathematical techniques for practical solutions to these disturbances.
Abstract: "Power quality problems have increasingly become a substantial concern over the last decade, but surprisingly few analytical techniques have been developed to overcome these disturbances in system-equipment interactions. Now in this comprehensive book, power engineers and students can find the theoretical background necessary for understanding how to analyze, predict, and mitigate the two most severe power disturbances: voltage sags and interruptions.This is the first book to offer in-depth analysis of voltage sags and interruptions and to show how to apply mathematical techniques for practical solutions to these disturbances. From UNDERSTANDING AND SOLVING POWER QUALITY PROBLEMS you will gain important insights intoVarious types of power quality phenomena and power quality standardsCurrent methods for power system reliability evaluationOrigins of voltage sags and interruptionsEssential analysis of voltage sags for characterization and prediction of equipment behavior and stochastic predictionMitigation methods against voltage sags and interruptions"Sponsored by:IEEE Power Electronics Society, IEEE Industry Applications Society, IEEE Power Engineering Society.

2,052 citations


"Current mode control of Dynamic Vol..." refers background in this paper

  • ...Power quality problems in the distribution systems are addressed in the literature [1-3] due to the increased use of sensitive and critical equipments in the system....

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Book
31 Aug 2002
TL;DR: Power Quality Enhancement Using Custom Power Devices as discussed by the authors considers the structure, control and performance of series compensating DVR, the shunt DSTATCOM and the SHunt with series UPQC for power quality improvement in electricity distribution.
Abstract: Power Quality Enhancement Using Custom Power Devices considers the structure, control and performance of series compensating DVR, the shunt DSTATCOM and the shunt with series UPQC for power quality improvement in electricity distribution. Also addressed are other power electronic devices for improving power quality in Solid State Transfer Switches and Fault Current Limiters. Applications for these technologies as they relate to compensating busses supplied by a weak line and for distributed generation connections in rural networks, are included. In depth treatment of inverters to achieve voltage support, voltage balancing, harmonic suppression and transient suppression in realistic network environments are also covered. New material on the potential for shunt and series compensation which emphasizes the importance of control design has been introduced. Power Quality Enhancement Using Custom Power Devices is appropriate for distribution engineers, graduate engineers and designers working in the area of power electronic applications for power systems. Sections of the book on power quality issues and generation connection make for a timely reference for undergraduates studying distribution engineering. Written for: Distribution engineers, graduate engineers and designers working in the area of power electronic applications for power systems, students

1,015 citations


"Current mode control of Dynamic Vol..." refers background in this paper

  • ...Custom power devices are mainly of three categories such as series-connected compensator like dynamic voltage restorer (DVR), shunt connected compensator such as distribution static compensator (DSTATCOM), and a combination of series and shuntconnected compensators known as unified power quality conditioner (UPQC) [2, 4-6]....

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  • ...Power quality problems in the distribution systems are addressed in the literature [1-3] due to the increased use of sensitive and critical equipments in the system....

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  • ...Hence it can protect the critical consumer loads from tripping and consequent loss of production [2]....

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  • ...The instantaneous reactive power theory (IRPT) [6], sliding mode controller [9], instantaneous symmetrical components [2,13] etc....

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Book
01 Jan 2006
TL;DR: In this article, the authors present an overview of machine learning methods for event classification of power system events and their application in the context of power quality measurement and power quality metrics, such as voltage variation, frequency domain analysis and signal transformation.
Abstract: PREFACE. ACKNOWLEDGMENTS. 1 INTRODUCTION. 1.1 Modern View of Power Systems. 1.2 Power Quality. 1.3 Signal Processing and Power Quality. 1.4 Electromagnetic Compatibility Standards. 1.5 Overview of Power Quality Standards. 1.6 Compatibility Between Equipment and Supply. 1.7 Distributed Generation. 1.8 Conclusions. 1.9 About This Book. 2 ORIGIN OF POWER QUALITY VARIATIONS. 2.1 Voltage Frequency Variations. 2.2 Voltage Magnitude Variations. 2.3 Voltage Unbalance. 2.4 Voltage Fluctuations and Light Flicker. 2.5 Waveform Distortion. 2.6 Summary and Conclusions. 3 PROCESSING OF STATIONARY SIGNALS. 3.1 Overview of Methods. 3.2 Parameters That Characterize Variations. 3.3 Power Quality Indices. 3.4 Frequency-Domain Analysis and Signal Transformation. 3.5 Estimation of Harmonics and Interharmonics. 3.6 Estimation of Broadband Spectrum. 3.7 Summary and Conclusions. 3.8 Further Reading. 4 PROCESSING OF NONSTATIONARY SIGNALS. 4.1 Overview of Some Nonstationary Power Quality Data Analysis Methods. 4.2 Discrete STFT for Analyzing Time-Evolving Signal Components. 4.3 Discrete Wavelet Transforms for Time-Scale Analysis of Disturbances. 4.4 Block-Based Modeling. 4.5 Models Directly Applicable to Nonstationary Data. 4.6 Summary and Conclusion. 4.7 Further Reading. 5 STATISTICS OF VARIATIONS. 5.1 From Features to System Indices. 5.2 Time Aggregation. 5.3 Characteristics Versus Time. 5.4 Site Indices. 5.5 System Indices. 5.6 Power Quality Objectives. 5.7 Summary and Conclusions. 6 ORIGIN OF POWER QUALITY EVENTS. 6.1 Interruptions. 6.2 Voltage Dips. 6.3 Transients. 6.4 Summary and Conclusions. 7 TRIGGERING AND SEGMENTATION. 7.1 Overview of Existing Methods. 7.2 Basic Concepts of Triggering and Segmentation. 7.3 Triggering Methods. 7.4 Segmentation. 7.5 Summary and Conclusions. 8 CHARACTERIZATION OF POWER QUALITY EVENTS. 8.1 Voltage Magnitude Versus Time. 8.2 Phase Angle Versus Time. 8.3 Three-Phase Characteristics Versus Time. 8.4 Distortion During Event. 8.5 Single-Event Indices: Interruptions. 8.6 Single-Event Indices: Voltage Dips. 8.7 Single-Event Indices: Voltage Swells. 8.8 Single-Event Indices Based on Three-Phase Characteristics. 8.9 Additional Information from Dips and Interruptions. 8.10 Transients. 8.11 Summary and Conclusions. 9 EVENT CLASSIFICATION. 9.1 Overview of Machine Data Learning Methods for Event Classification. 9.2 Typical Steps Used in Classification System. 9.3 Learning Machines Using Linear Discriminants. 9.4 Learning and Classification Using Probability Distributions. 9.5 Learning and Classification Using Artificial Neural Networks. 9.6 Learning and Classification Using Support Vector Machines. 9.7 Rule-Based Expert Systems for Classification of Power System Events. 9.8 Summary and Conclusions. 10 EVENT STATISTICS. 10.1 Interruptions. 10.2 Voltage Dips: Site Indices. 10.3 Voltage Dips: Time Aggregation. 10.4 Voltage Dips: System Indices. 10.5 Summary and Conclusions. 11 CONCLUSIONS. 11.1 Events and Variations. 11.2 Power Quality Variations. 11.3 Power Quality Events. 11.4 Itemization of Power Quality. 11.5 Signal-Processing Needs. APPENDIX A IEC STANDARDS ON POWER QUALITY. APPENDIX B IEEE STANDARDS ON POWER QUALITY. BIBLIOGRAPHY. INDEX.

884 citations

Book
01 Jan 2012
TL;DR: In this article, the authors present a joint time-frequency analysis of the electrical signal measurement and analysis of voltage events and present an approach to reduce the voltage perturbation in power line conditioners.
Abstract: Introduction Power Quality Monitoring Joint Time-frequency Analysis of the Electrical Signal Measurement and Analysis of Voltage Events Transient Mitigation Methods on ASDs Modern Arrangement to Reduction of Voltage Perturbations Static Shunt PE Voltage Quality Controllers Static Series and Shunt-series PE Voltage Quality Controllers Active Power Line Conditioners Distributed Generation Electronic Load and Power Quality Power Quality Factor for Electrical Networks IEC 61850 and Power Quality Monitoring and Recording

287 citations


"Current mode control of Dynamic Vol..." refers background in this paper

  • ...Custom power devices are mainly of three categories such as series-connected compensator like dynamic voltage restorer (DVR), shunt connected compensator such as distribution static compensator (DSTATCOM), and a combination of series and shuntconnected compensators known as unified power quality conditioner (UPQC) [2, 4-6]....

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