scholarly journals Power Quality Issues Concerning Photovoltaic Generation and Electrical Vehicle Loads in Distribution Grids

2015 ◽  
Vol 06 (06) ◽  
pp. 164-177 ◽  
Author(s):  
Jaan Niitsoo ◽  
Paul Taklaja ◽  
Ivo Palu ◽  
Joni Klüss
Keyword(s):  
Power Quality ◽  
Photovoltaic Generation ◽  
Electrical Vehicle ◽  
Vehicle Loads ◽  
Quality Issues ◽  
Distribution Grids

scholarly journals Power Quality Issues Concerning Photovoltaic Generation in Distribution Grids

2015 ◽  
Vol 06 (06) ◽  
pp. 148-163 ◽  
Author(s):  
Jaan Niitsoo ◽  
Marek Jarkovoi ◽  
Paul Taklaja ◽  
Joni Klüss ◽  
Ivo Palu
Keyword(s):  
Power Quality ◽  
Photovoltaic Generation ◽  
Quality Issues ◽  
Distribution Grids

Unit Template Based Control of PV-DSTATCOM

2020 ◽  
Vol 13 (1) ◽  
pp. 36-42
Author(s):  
Gunjan Varshney ◽  
Durg S. Chauhan ◽  
Madhukar P. Dave ◽  
Nitin
Keyword(s):  
Power Quality ◽  
Power Factor ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Phase Distribution ◽  
Voltage Regulation ◽  
Photovoltaic Array ◽  
Quality Issues ◽  
Static Compensator

Background: In modern electrical power distribution systems, Power Quality has become an important concern due to the escalating use of automatic, microprocessor and microcontroller based end user applications. Methods: In this paper, power quality improvement has done using Photovoltaic based Distribution Static Compensator (PV-DSTATCOM). Complete simulation modelling and control of Photovoltaic based Distribution Static Compensator have been provided in the presented paper. In this configuration, DSTATCOM is fed by solar photovoltaic array and PV module is also helpful to maintain the DC link voltage. The switching of PV-STATCOM is controlled by Unit template based control theory. Results: The performance of PV-DSTATCOM has been evaluated for Unity Power Factor (UPF) and AC Voltage Control (ACVC) modes. Here, for studying the power quality issues three-phase distribution system is considered and results have been verified through simulation based on MATLAB software. Conclusion: Different power quality issues and their improvement are studied and presented here for harmonic reduction, DC voltage regulation and power factor correction.

scholarly journals Review of Power Quality Issues in Maritime Microgrids

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Tomasz Tarasiuk ◽  
Shantha Gamini Jayasinghe ◽  
Mariusz Gorniak ◽  
Andrzej Pilat ◽  
Viknash Shagar ◽  
...  
Keyword(s):  
Power Quality ◽  
Quality Issues

scholarly journals Intelligent Starting Current-Based Fault Identification of an Induction Motor Operating under Various Power Quality Issues

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 304
Author(s):  
Sakthivel Ganesan ◽  
Prince Winston David ◽  
Praveen Kumar Balachandran ◽  
Devakirubakaran Samithas
Keyword(s):  
Standard Deviation ◽  
Power Quality ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Classification Accuracy ◽  
Induction Motors ◽  
Quality Data ◽  
Starting Current ◽  
Quality Issues ◽  
Condition Monitoring System

Since most of our industries use induction motors, it is essential to develop condition monitoring systems. Nowadays, industries have power quality issues such as sag, swell, harmonics, and transients. Thus, a condition monitoring system should have the ability to detect various faults, even in the presence of power quality issues. Most of the fault diagnosis and condition monitoring methods proposed earlier misidentified the faults and caused the condition monitoring system to fail because of misclassification due to power quality. The proposed method uses power quality data along with starting current data to identify the broken rotor bar and bearing fault in induction motors. The discrete wavelet transform (DWT) is used to decompose the current waveform, and then different features such as mean, standard deviation, entropy, and norm are calculated. The neural network (NN) classifier is used for classifying the faults and for analyzing the classification accuracy for various cases. The classification accuracy is 96.7% while considering power quality issues, whereas in a typical case, it is 93.3%. The proposed methodology is suitable for hardware implementation, which merges mean, standard deviation, entropy, and norm with the consideration of power quality issues, and the trained NN proves stable in the detection of the rotor and bearing faults.

scholarly journals Analysis of a Multi-Timescale Framework for the Voltage Control of Active Distribution Grids

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1965
Author(s):  
Edoardo De Din ◽  
Fabian Bigalke ◽  
Marco Pau ◽  
Ferdinanda Ponci ◽  
Antonello Monti
Keyword(s):  
Energy Storage ◽  
Distributed Generation ◽  
Network Performance ◽  
Storage Systems ◽  
Essential Element ◽  
Photovoltaic Generation ◽  
High Penetration ◽  
Physical Assets ◽  
Sky Conditions ◽  
Distribution Grids

The development of strategies for distribution network management is an essential element for increasing network performance and reducing the upgrade of physical assets. This paper analyzes a multi-timescale framework to control the voltage of distribution grids characterized by a high penetration of renewables. The multi-timescale solution is based on three levels that coordinate Distributed Generation (DG) and Energy Storage Systems (ESSs), but differs in terms of the timescales and objectives of the control levels. Realistic load and photovoltaic generation profiles were created for cloudy and clean sky conditions to evaluate the performance features of the multi-timescale framework. The proposed solution was also compared with different frameworks featuring two of the three levels, to highlight the contribution of the combination of the three levels in achieving the best performance.

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