Three Phase Four Switch Inverter Based DVR for Power Quality Improvement With Optimized CSA Approach

Reddy, Sanepalle Gopal; Ganapathy, S.; Manikandan, M.

doi:10.1109/access.2022.3188629

Cited by 15 publications

(6 citation statements)

References 65 publications

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“…Mitigation of unbalanced voltage sag of 20% in phase 'a', 50% in phase 'b' and 25% in phase 'c' is shown in the figure 6. DVR control based on Cuckoo search algorithm presented in [22], uses two DC link capacitors to maintain the DC link voltage constant and the DC voltage is maintained constant by using the cuckoo search algorithm. But in the proposed topology, no DC link capacitors are used but the Dc link voltage is maintained constant without using any algorithm.…”

Section: Simulation Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Voltage Sag, Swell, and Interruption Compensation Using DVR Based on Energy Storage Device

Rahman,

Kassahun,

Tefera

et al. 2024

IEEE Access

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Though we have many power quality issues, voltage sag, interruption and swell are considered to be very important ones as it occurs very frequently and affects the sensitive loads adversely. Though many topologies of DVR are presented in the literature, all the topologies have used P or PI or PID or fuzzy or neural network controllers to mitigate power quality issues. But in this paper, it is proved that it is possible to mitigate the voltage sag, swell and outages using Dynamic Voltage Restorer (DVR), without using any controllers like P, PI, PID, fuzzy or neural networks. The proposed DVR consists of a battery bank as an energy storage device, a Voltage Source Inverter (VSI), control circuitry to generate switching pulses, LC filter and a series transformer. The proposed DVR is connected immediately after the distribution transformer in order to protect the load from supply voltage deviations. The three phase supply voltages are always measured and converted into Direct-Quadrature-Zero (DQ0) quantities and compared with the reference value to generate error signals. When the supply voltage is at rated value, the error signal is zero. So, PWM will not be generated by the control circuitry and the VSI won't generate any compensating voltage. At this condition, the secondary winding of the series transformer will also be short circuited using a breaker. So, the voltage injected into the line by the DVR is zero. Thus, the load voltage is equal to supply voltage and maintained at rated value. Whenever a sag or swell or interruptions occurs at the supply side, the three phase voltages are not at rated value and also unbalanced. So, error signals will be generated in the DQ0 frame. These error signals in the DQ0 frame are again converted into three phase voltages using inverse DQ0 transformation. Using these three phase error signals, switching pulses are generated for the VSI. The generated compensating voltage is injected along with the supply voltage using the series transformer, in order to maintain the load voltage at rated value. MATLAB Simulink software is used for simulation and the presented results validate that the proposed DVR can effectively mitigate balanced and unbalanced voltage sag of 100%, balanced and unbalanced voltage swell of 100%, single phase outage and three outages.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Cuckoo search algorithm is used in [22] to mitigate power quality problems using DVR based on energy storage device. Zero Active Power Tracking Technique is presented in [23] for DVR capability enhancement.…”

Section: Introductionmentioning

confidence: 99%

Voltage Sag, Swell, and Interruption Compensation Using DVR Based on Energy Storage Device

Rahman,

Kassahun,

Tefera

et al. 2024

IEEE Access

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“…The destabilization of the power grid takes place if the challenge of PQ is not addressed appropriately. Some of the commonly employed techniques for enhancement of PQ includesStatic Var Compensator (SVC) [12], Dynamic Voltage Restorer (DVR) [13], Static synchronous Compensator (STATCOM) [14], Active Power Filtering (APF) [15], Static Var Generator (SVG) [16] and Thyristor-Controlled Series Capacitor (TCSC) [17].All these aforementioned techniques solely focusseson the compensation of a particular PQ issue.As a result, UPQC [18][19][20][21][22] is becoming a more popular option owing to its excellent performance in compensating both voltage and current PQ issues, resulting in the overall improvement of the PQ of both load voltage and grid current.In [23], a considerable amount of advancement is seen in tackling the issues of reactive power, harmonics, short interruptions and voltage swells/sags by integrating UPQC with PV.A configuration of PV-UPQC is presented in [24] for tackling voltage and current distortions, while in [25] the modelling, verification and simulation of a 3Φ PV-UPQC is addressed.Although this study field has been experiencing rampant growth, the attempts to integrate UPQC with PV is in initial stages, and there remain certain problems that still needs to be resolved. For instance, the dc-bus voltage stability control issue is directly associated to the PV array's output power along with the compensation capability of the UPQC.…”

Section: Introductionmentioning

confidence: 99%

Power Quality Improvement in Distribution System Using Solar Fed Cuk Integrated Boost Converter

Joseph

et al. 2023

Preprint

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Recently, Power Quality (PQ) issues have emerged to be acritical problem faced by the distributed power system on account of its several forms and frequencies of occurrence. Thereby, the integration of the distributed generation of Photovoltaic (PV) with Unified Power Quality Conditioner (UPQC) is recommended in this work with the intension towards improvement of quality of power delivered to the customers. Also leading to the development of a novel grid tied PV design that avoids any unfavourable voltage or current situation in distributed power system. The series compensator of the UPQC addresses voltage-related challenges, while the shunt compensator of the UPQC handles current-related challenges. The interfacing of the PV to the UPQC is accomplished using the Cuk Integrated Boost Converter (CIBC)and the optimum extraction of PV power is ensured with the application of Cascaded Type-2 Fuzzy Logic Controller (CT2FLC) based Maximum Power Point Tracking (MPPT) technique. The control of the UPQC is done using Fuzzy tuned Adaptive PI controller in addition to Convolution Neural Network (CNN) assisted DQ theory. The dynamic nature of the presented approach in terms of compensation capability and dc-bus stability is assessed through MATLAB simulation and experimental verification.

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“…Wind energy is another RES, which is integrated with PV systems to deliver a continuous power output. The general structure of Wind Energy Conversion Systems (WECS) [27][28][29][30] comprises a wind turbine coupled with an electrical generator for obtaining electrical energy. Induction generators (IG) are the commonly used generators for WECS but in this work, a Double Fed IG (DFIG) based wind turbine is utilized [31,32].…”

Section: Introductionmentioning

confidence: 99%

Power Quality Improvement Using ANN Controller For Hybrid Power Distribution Systems

Quawi¹,

Shuaib²,

Manikandan³

2023

Intelligent Automation &Amp; Soft Computing

Self Cite

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In this work, an Artificial Neural Network (ANN) based technique is suggested for classifying the faults which occur in hybrid power distribution systems. Power, which is generated by the solar and wind energy-based hybrid system, is given to the grid at the Point of Common Coupling (PCC). A boost converter along with perturb and observe (P&O) algorithm is utilized in this system to obtain a constant link voltage. In contrast, the link voltage of the wind energy conversion system (WECS) is retained with the assistance of a Proportional Integral (PI) controller. The grid synchronization is tainted with the assistance of the d-q theory. For the analysis of faults like islanding, line-ground, and line-line fault, the ANN is utilized. The voltage signal is observed at the PCC, and the Discrete Wavelet Transform (DWT) is employed to obtain different features. Based on the collected features, the ANN classifies the faults in an efficient manner. The simulation is done in MATLAB and the results are also validated through the hardware implementation. Detailed fault analysis is carried out and the results are compared with the existing techniques. Finally, the Total harmonic distortion (THD) is lessened by 4.3% by using the proposed methodology.

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Three Phase Four Switch Inverter Based DVR for Power Quality Improvement With Optimized CSA Approach

Cited by 15 publications

References 65 publications

Voltage Sag, Swell, and Interruption Compensation Using DVR Based on Energy Storage Device

Voltage Sag, Swell, and Interruption Compensation Using DVR Based on Energy Storage Device

Power Quality Improvement in Distribution System Using Solar Fed Cuk Integrated Boost Converter

Power Quality Improvement Using ANN Controller For Hybrid Power Distribution Systems

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