scholarly journals Estimation of Phase Angle Jump (PAJ) for Different Types of Faults and Unbalancing in Distribution System

2018 ◽  
Vol 7 (4.38) ◽  
pp. 23 ◽  
Author(s):  
Muhammad Fawad Shaikh ◽  
Madad Ali Shah ◽  
Sunny Katyara ◽  
Bhawani Shankar Chowdhry

Voltage sag caused by the faults in the power system has serious power quality issues and sometimes leads to interruption of power supply. The characteristics of voltage sag are its magnitude, time and phase angle jump (PAJ). This paper represents the estimation of phase angle jump (PAJ) when different types of faults are occurred in distribution system. Since the unbalancing is one of the major issues in distribution system that increases the zero sequence currents, over heats the distribution transformer, causes huge voltage drops in distributor etc. Therefore, the method used in this paper shows the PAJ when distributor is unbalance due to uneven loading or the line parameters of the distributor are unsymmetrical. Simple radial system is used to analyze the PAJ caused by the different types of faults and unbalancing. Different comparisons are made that are associated with PAJ such as PAJ vs fault impedance, zero sequence current and percentage of voltage unbalance. The research work is performed on MATLAB/SIMULINK to analyze the real time results.  

Whenever a fault occurs at any stage of the power system, the magnitude of voltage and phase angle both are changed. In the distribution system, there are sensitive loads such as digital computers; motor drives, etc are connected with a system. Due to fault conditions, unbalancing in voltage may occur. So it may cause of damage to equipment. Fault in the distribution system may lead to a voltage dip in the system; it is the big problem of power quality. So it more important to understand the power quality and it is also important to analyze voltage dip propagation when different types of faults occur in the system. This research paper summarizes the results from a number of different voltage dips investigations and their verification of mathematical calculations. These investigations involve characterizing the voltage dips performance.


2012 ◽  
Vol 622-623 ◽  
pp. 1830-1834 ◽  
Author(s):  
Mojtaba Hakimzadeh ◽  
Reza Sedaghati

Power quality has become an increasingly important topic in the performance of many industrial applications. One of the major issues in improving power quality in distribution networks is the mitigation of voltage sags. Voltage sag can be mitigated by voltage and power injections into the distribution system using Dynamic Voltage Restorer (DVR). The DVR is a powerful controller that is commonly used for voltage sags mitigation at the point of connection. This paper describes of modeling and analysis of DVR. Different types of faults are applied for DVR in distribution network and the responses of the system for these disturbances are examined. Simulation results obtained in PSCAD/EMTDC also prove that the DVR can mitigate voltage sag and protect bus bar voltage from various types of faults.


2020 ◽  
Vol 8 (6) ◽  
pp. 5361-5364

It is an important concern to supply uninterrupted power to consumer under competitive environment. Therefore, available reserve margin of substation transformer is utmost concerns for power utilities due to its direct effects on power quality, reliability and revenue loss. This research work focus on data analytics application to predict substation overloading assessment for integrated distribution system. This paper has developed three adaptive neural fuzzy interface system (ANFIS) to predict the available substation reserve margin by considering base case and different solar integration scenarios. The ANFIS models were trained and tested using stochastic data obtained from load flow computation for a modified IEEE 37 feeder. To train ANFIS models, input variables are taken as “voltage unbalance factor, feeder power loss to load ratio, maximum branch loading, voltage deviation, and minimum power factor”, while target variable is taken as substation reserve margin”. All predications of ANFIS models are compared with those values obtained from load flow computation. It was found that predicated results have good agreement with load flow computational data and R-squared value fall in the range of 0.9182 to 0.9173. The proposed research work is useful to predict operational performance of integrated solar distribution system in smart grid environment.


In this research proposes FLC and Artificial Neural Network (ANN) based on Dyanamic Voltage Controller (DVR) along with d q o transformation for power qulity improvement in a distribution system. Design a 9levels CHMLI based on Custom Power device with SVPWM techniques. Distribution needs to protect against the harmonics such as sag, swell and flickers are affect on standard pure power supply at the end of the load. These power quality issues are minimised with voltage injection using DVR.The designed inveter to reduced the voltage switching losses and stresses of semiconductor devices. Here used single DC voltage source with a series connection of 4 capacitors for self balancing purpose, 3 diodes,output voltage levels and Cascaded H-bridge cell. the proposed 9 level CHMLI inverter citcuit to helps reducing the number of independent voltage dc sources and IGBTS. The harmonics are less in the output voltage proposed work (new topologies)compared to conventional topology. A comparision of FLC and ANN with THD and Power Factor results and study. It has been carried out to analyse through MATLAB / SIMULINK Software.


2015 ◽  
Vol 135 (3) ◽  
pp. 168-180 ◽  
Author(s):  
Ryota Mizutani ◽  
Hirotaka Koizumi ◽  
Kentaro Hirose ◽  
Kazunari Ishibashi

2015 ◽  
Vol 9 (1) ◽  
pp. 253-262
Author(s):  
Liu Zhongfu ◽  
Zhang Junxing ◽  
Shi Lixin ◽  
Yang Yaning

As for the wide application of arc suppression coil to the grounding in neutral point of mine high voltage grid, grid leakage fault rules and harmonic characteristics of the neutral point grounding system through arc suppression coil are analyzed, the selective leakage protection program “zero-sequence voltage starts, fifth harmonics of grid zerosequence voltage and zero-sequence current are extracted for phase comparison” is proposed, and corresponding fifth harmonic extraction circuit and power direction discrimination circuit are designed. The experimental results show that the protective principle applies not only to the neutral point insulated power supply system, but also to the power supply system in which neutral point passes arc suppression coil, which can solve selective leakage protection problems under different neutral grounding ways, improving the reliability of selective leakage and guaranteeing the stability of the action value.


2021 ◽  
Vol 675 (1) ◽  
pp. 012121
Author(s):  
Pei Du ◽  
Yan Lin ◽  
Weijun Zhang ◽  
Zhixuan Liu ◽  
Fang Lin ◽  
...  

Polymers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 799
Author(s):  
Justyna Miedzianowska ◽  
Marcin Masłowski ◽  
Przemysław Rybiński ◽  
Krzysztof Strzelec

Increasingly, raw materials of natural origin are used as fillers in polymer composites. Such biocomposites have satisfactory properties. To ensure above-average functional properties, modifications of biofillers with other materials are also used. The presented research work aimed to produce and characterize elastomeric materials with a straw-based filler and four different types of montmorillonite. The main research goal was to obtain improved functional parameters of vulcanizates based on natural rubber. A series of composites filled with straw and certain types of modified and unmodified nano-clays in various ratios and amounts were prepared. Then, they were subjected to a series of tests to assess the impact of the hybrids used on the final product. It has been shown that the addition of optimal amounts of biofillers can, inter alia, increase the tensile strength of the composite, improve damping properties, extend the burning time of the material and affect the course of vulcanization or cross-linking density.


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