Control of energy optimized dynamic voltage restorer

Vilathgamuwa, Mahinda; Perera, A.A.D. Ranjith; Choi, S.S.; Tseng, Kuo-Tung

doi:10.1109/iecon.1999.816526

Cited by 92 publications

(27 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Two control methods may generally be used for the SSCs, being either open-loop control [30] or closed-loop control [31]. If the A-PFC which has own control is used, the open-loop control is sufficient.…”

Section: Operation Principle Of the Proposed Ssc Topologymentioning

confidence: 99%

Using active power factor correction (PFC) boost rectifiers for an improved topology of static series compensators with no energy storage

Meral

2012

IET Power Electron.

View full text Add to dashboard Cite

Static series compensator (SSC) topologies including shunt connected power electronic rectifier with no energy storage have some potential advantages such as an extra saving and the ability exists to compensate longer dips. However, this topology has the disadvantage that the uncontrolled DC link is connected to the supply with a shunt rectifier during the fault, and more importantly, the conventional diode bridge rectifier (C-DBR) does not draw sinusoidal current from the supply and inject current harmonics to the network. In this study, an improved topology for the SSCs using a single-switch active power factor correction (A-PFC) boost rectifier is proposed. Single-phase SSC topologies with load side shunt connected C-DBR and A-PFC are compared by obtaining the results for the DC-link voltages, the supply currents and the load voltages. The results show that the proposed new topology offers solutions to problems of the topology including C-DBR such as supply current harmonics and uncontrolled DC-link voltage and so a considerable performance improvement is achieved by using the proposed SSC topology.

show abstract

Section: Operation Principle Of the Proposed Ssc Topologymentioning

confidence: 99%

Using active power factor correction (PFC) boost rectifiers for an improved topology of static series compensators with no energy storage

Meral

2012

IET Power Electron.

View full text Add to dashboard Cite

show abstract

“…The design, analysis and voltage injection schemes of three-leg VSC based DVR is reported in the technical literature [9]- [11].The dynamic performance of DVR depends upon various control algorithms such as instantaneous symmetrical component theory for DVR [12], Artificial Neural Network (ANN) based control algorithm for shunt active filter [13], sliding mode and fuzzy logic controller for static series compensator [14], space vector PWM for dynamic voltage restorer [15], IcosΦ Algorithm for three-phase Shunt Active Filter [16], mathematical optimization in ABC frame for active power filters [17] etc. This paper presents a neural network control based least mean square algorithm for DVR to mitigate of voltage sag, swell, harmonics and unbalance in supply voltage.…”

Section: Introductionmentioning

confidence: 99%

Neural network control for three-leg VSC based DVR in distribution system

Bangarraju¹,

Rajagopal²,

Jayalaxmi

2014

2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

View full text Add to dashboard Cite

This paper deals with neural network control for three-leg Voltage Source Converter (VSC) based DVR in distribution system to mitigate voltage sag, swell and harmonics etc. The proposed neural network control is based on the least mean-square algorithm which is known as adaptive linear element to extract the fundamental component of load voltages. The reference signals for three-leg VSC based DVR are extracted from reference load voltages. The neural network control for DVR is able to self-support its dc bus through the control under varying loads. The main advantage of neural network control is to eliminate filter and which improves performance of DVR.The proposed DVR injects voltages in series with source voltage to regulate voltage at rated voltage. The proposed neural network control based DVR is validated through computer simulation studies using MATLAB/SIMULINK.

show abstract

“…Voltages V 1 , V 2 , and V dvr are the source-side voltage, the load-side voltage, and the DVR injected voltage, respectively. Also, the operators I, , , and are the load current, the load power factor angle, the source phase voltage angle, and the voltage phase advance angle, respectively [24]. It should be noted that in addition to the in-phase injection technique, another technique, namely "the phase advance voltage compensation technique" is also used [24].…”

Section: Fig 2 Phasor Diagram Of the Electrical Conditions During Amentioning

confidence: 99%

“…Also, the operators I, , , and are the load current, the load power factor angle, the source phase voltage angle, and the voltage phase advance angle, respectively [24]. It should be noted that in addition to the in-phase injection technique, another technique, namely "the phase advance voltage compensation technique" is also used [24]. One of the advantages of this method over the in-phase method is that less active power should be transferred from the storage unit to the distribution system.…”

Section: Fig 2 Phasor Diagram Of the Electrical Conditions During Amentioning

confidence: 99%

A Fuzzy Logic controller based Multifunctional Dynamic Voltage restorer in Distribution System

Vani¹

2013

IOSR-JEEE

View full text Add to dashboard Cite

Control of energy optimized dynamic voltage restorer

Cited by 92 publications

References 3 publications

Using active power factor correction (PFC) boost rectifiers for an improved topology of static series compensators with no energy storage

Using active power factor correction (PFC) boost rectifiers for an improved topology of static series compensators with no energy storage

Neural network control for three-leg VSC based DVR in distribution system

A Fuzzy Logic controller based Multifunctional Dynamic Voltage restorer in Distribution System

Contact Info

Product

Resources

About