This document presents a method for detecting and locating faults in underground power cables using wavelet transforms. A 400kV, 50km underground cable system is modeled in MATLAB Simulink. Various single-phase, two-phase, and three-phase faults are simulated at distances of 25km and 50km from the measurement point. Voltage and current signals are analyzed using continuous wavelet transforms to detect and locate faults. Simulation results show the method can accurately estimate fault locations, with errors generally under 7%. The method is capable of determining fault type and location for both transmission and distribution cables.
This document presents a technique for locating faults on double circuit transmission lines using wavelet transform and wavelet modulus maxima. The technique uses traveling wave theory and modal decomposition to transform coupled three-phase voltages and currents into independent modal components. Wavelet analysis is then used to obtain the wavelet transform coefficients of each modal component. The time difference between wavelet modulus maxima peaks of the modal components indicates the fault location. Simulation results demonstrate the validity of the technique for various fault types, locations, resistances, and inception angles. The technique can accurately locate faults using data from a single line terminal.
The transmission overhead line is one of the vital elements in the power system for transmitting the electrical energy. In the transmission, the disturbances are often occurred. In the conventional algorithm, alpha and beta (mode) currents generated by Clarke’s transformation are utilized to convert the signal of Discrete Wavelet Transform (DWT) to obtain the Wavelet Transform Coefficient (WTC) and the Wavelet Coefficient Energy (WCE). This study introduces a new algorithm, called Modified Clarke for fault detection and classification using DWT and Back-Propagation Neural Network (BPNN) based on Clarke’s transformation on transmission overhead line by adding gamma current in the system. Daubechies4 (Db4) is used as a mother wavelet to decompose the high frequency components of the signal error. Simulation is performed using PSCAD / EMTDC transmission system modeling and carried out at different locations along the transmission line with different types of fault, fault resistances, fault locations and fault of the initial angle on a given power system model. The simulated fault types are in the study are the Single Line to Ground, the Line To Line, the Double Line to Ground and the Three Phases. There are four statistic methods utilized in the present study to determine the accuracy of detection and classification of faults. The result shows that the best and the worst structures of BPNN occurred on the configuration of 12-24-48-4 and 12-12-6-4, respectively. For instance, the error using Mean Square Error Method. The Error Of Clarke’s, Without Clarke’s and Modified Clarke’s are 0.05862, 0.05513 and 0.03721 which are the best, respectively, whereas, the worst are 0.06387, 0.0753 and 0.052, respectively. This indicates that the Modified Clarke’s result is in the lowest error. The method is successfully implement can be utilized in the detection and classification of fault in transmission line by utilities and power regulation in power system planning and operation.
Wide Area Fault Location for Power Transmission Network using Reactance Based...Muhd Hafizi Idris
Download here: https://www.researchgate.net/publication/332441499_Wide_Area_Fault_Location_for_Power_Transmission_Network_using_Reactance_Based_Method?_sg=Tkk3ur2Kc3XGh3JHwtJdPM3IdJJx_K42N3Zu9kX_ECutHW5j91ExIMtrJFOui4E-RikSYmuYR0uZWEEVHoSaDTPZuRvC29V6GzZ5g9BS.GnmzKNF1XN22czjk5npta57bMn8D2KxxwQsAMEPlK7abE5qGykkxj8CgUcnYHlzpKEZST1ujqv7avTquOi7Aug
With the advancements in smart grid, communication technology, intelligent electronic device and substation automation, wide area applications for monitoring, protection, control and fault location becoming focused nowadays and improved from time to time. This research focuses on using wide area synchrophasor measurements for fault location in transmission network which acts as a backup to conventional fault location method. Simple reactance based methods together with a developed rules system are used to locate the possible affected line and its fault location. Using the developed rules and algorithm, fault location impedance will be compared at each synchrophasor bus connected lines for different fault types, then between connected lines and finally between synchrophasors buses. Faults at various locations with different fault resistances have been simulated and the results prove that the developed method can be used to locate the fault point and can be used as a backup to main fault location method. Future works also discussed how the method can be improved to get the best and accurate fault location results.
Wavelet based analysis for transmission line fault locationAlexander Decker
This document summarizes a technique for locating faults on electric power transmission lines using wavelet analysis. It begins with an introduction to transmission line faults and issues with existing fault location methods. It then describes the basics of traveling wave theory and modal analysis for decomposing fault currents. A proposed algorithm is outlined that uses the discrete wavelet transform to analyze modal components of fault current received at a relay point. Time delays between modal components are used to determine the fault location based on the faulted transmission line length and wave propagation speed. Simulation results using MATLAB are presented to illustrate the approach. The method aims to provide accurate fault location independently of factors like fault inception angle and impedance.
Fault location and correction are important in case of any power systems. This process has to be prompt and accurate so that system reliability can be improved , outage time can be reduced and restoration of system from fault can be accelerated.
Fault location calculation using Magnetoresistance sensor is described here.
Fault detection and diagnosis ingears using wavelet enveloped power spectrum ...eSAT Journals
Abstract In this work, automatic detection and diagnosis of gear condition monitoring technique is presented. The vibration signals in time domain wereobtained from a fault simulator apparatus from a healthy gear and an induced faulty gear. These time domain signals were processed using Laplace and Morlet wavelet based enveloped power spectrum to detect the faults in gears. The vibration signals obtained were filtered to enhance the signal components before the application of wavelet analysis. The time and frequency domain features extracted from Laplace wavelet based wavelet transform are used as input to ANN for gear fault classification. Genetic algorithm was used to optimize the wavelet and ANN classification parameters. The result shows the successful classification of ANN test process. Index Terms:Continuous wavelet transform, Envelope power spectrum, Wavelet, Filtering, ANN.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...IRJET Journal
This document presents a technique for protecting double circuit transmission lines using line traps and artificial neural networks. Line traps are placed at the terminals of the protected line to detect faults based on high frequency transients. An artificial neural network is trained using the RMS voltage and current signals to classify fault types. MATLAB simulation studies were conducted to model a 300km, 25kV, 50Hz transmission system with three zones. RMS measurements from one end were used to train the neural network to classify faults. The neural network approach provides fast, secure and reliable protection for double circuit transmission lines.
This document presents a technique for locating faults on double circuit transmission lines using wavelet transform and wavelet modulus maxima. The technique uses traveling wave theory and modal decomposition to transform coupled three-phase voltages and currents into independent modal components. Wavelet analysis is then used to obtain the wavelet transform coefficients of each modal component. The time difference between wavelet modulus maxima peaks of the modal components indicates the fault location. Simulation results demonstrate the validity of the technique for various fault types, locations, resistances, and inception angles. The technique can accurately locate faults using data from a single line terminal.
The transmission overhead line is one of the vital elements in the power system for transmitting the electrical energy. In the transmission, the disturbances are often occurred. In the conventional algorithm, alpha and beta (mode) currents generated by Clarke’s transformation are utilized to convert the signal of Discrete Wavelet Transform (DWT) to obtain the Wavelet Transform Coefficient (WTC) and the Wavelet Coefficient Energy (WCE). This study introduces a new algorithm, called Modified Clarke for fault detection and classification using DWT and Back-Propagation Neural Network (BPNN) based on Clarke’s transformation on transmission overhead line by adding gamma current in the system. Daubechies4 (Db4) is used as a mother wavelet to decompose the high frequency components of the signal error. Simulation is performed using PSCAD / EMTDC transmission system modeling and carried out at different locations along the transmission line with different types of fault, fault resistances, fault locations and fault of the initial angle on a given power system model. The simulated fault types are in the study are the Single Line to Ground, the Line To Line, the Double Line to Ground and the Three Phases. There are four statistic methods utilized in the present study to determine the accuracy of detection and classification of faults. The result shows that the best and the worst structures of BPNN occurred on the configuration of 12-24-48-4 and 12-12-6-4, respectively. For instance, the error using Mean Square Error Method. The Error Of Clarke’s, Without Clarke’s and Modified Clarke’s are 0.05862, 0.05513 and 0.03721 which are the best, respectively, whereas, the worst are 0.06387, 0.0753 and 0.052, respectively. This indicates that the Modified Clarke’s result is in the lowest error. The method is successfully implement can be utilized in the detection and classification of fault in transmission line by utilities and power regulation in power system planning and operation.
Wide Area Fault Location for Power Transmission Network using Reactance Based...Muhd Hafizi Idris
Download here: https://www.researchgate.net/publication/332441499_Wide_Area_Fault_Location_for_Power_Transmission_Network_using_Reactance_Based_Method?_sg=Tkk3ur2Kc3XGh3JHwtJdPM3IdJJx_K42N3Zu9kX_ECutHW5j91ExIMtrJFOui4E-RikSYmuYR0uZWEEVHoSaDTPZuRvC29V6GzZ5g9BS.GnmzKNF1XN22czjk5npta57bMn8D2KxxwQsAMEPlK7abE5qGykkxj8CgUcnYHlzpKEZST1ujqv7avTquOi7Aug
With the advancements in smart grid, communication technology, intelligent electronic device and substation automation, wide area applications for monitoring, protection, control and fault location becoming focused nowadays and improved from time to time. This research focuses on using wide area synchrophasor measurements for fault location in transmission network which acts as a backup to conventional fault location method. Simple reactance based methods together with a developed rules system are used to locate the possible affected line and its fault location. Using the developed rules and algorithm, fault location impedance will be compared at each synchrophasor bus connected lines for different fault types, then between connected lines and finally between synchrophasors buses. Faults at various locations with different fault resistances have been simulated and the results prove that the developed method can be used to locate the fault point and can be used as a backup to main fault location method. Future works also discussed how the method can be improved to get the best and accurate fault location results.
Wavelet based analysis for transmission line fault locationAlexander Decker
This document summarizes a technique for locating faults on electric power transmission lines using wavelet analysis. It begins with an introduction to transmission line faults and issues with existing fault location methods. It then describes the basics of traveling wave theory and modal analysis for decomposing fault currents. A proposed algorithm is outlined that uses the discrete wavelet transform to analyze modal components of fault current received at a relay point. Time delays between modal components are used to determine the fault location based on the faulted transmission line length and wave propagation speed. Simulation results using MATLAB are presented to illustrate the approach. The method aims to provide accurate fault location independently of factors like fault inception angle and impedance.
Fault location and correction are important in case of any power systems. This process has to be prompt and accurate so that system reliability can be improved , outage time can be reduced and restoration of system from fault can be accelerated.
Fault location calculation using Magnetoresistance sensor is described here.
Fault detection and diagnosis ingears using wavelet enveloped power spectrum ...eSAT Journals
Abstract In this work, automatic detection and diagnosis of gear condition monitoring technique is presented. The vibration signals in time domain wereobtained from a fault simulator apparatus from a healthy gear and an induced faulty gear. These time domain signals were processed using Laplace and Morlet wavelet based enveloped power spectrum to detect the faults in gears. The vibration signals obtained were filtered to enhance the signal components before the application of wavelet analysis. The time and frequency domain features extracted from Laplace wavelet based wavelet transform are used as input to ANN for gear fault classification. Genetic algorithm was used to optimize the wavelet and ANN classification parameters. The result shows the successful classification of ANN test process. Index Terms:Continuous wavelet transform, Envelope power spectrum, Wavelet, Filtering, ANN.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...IRJET Journal
This document presents a technique for protecting double circuit transmission lines using line traps and artificial neural networks. Line traps are placed at the terminals of the protected line to detect faults based on high frequency transients. An artificial neural network is trained using the RMS voltage and current signals to classify fault types. MATLAB simulation studies were conducted to model a 300km, 25kV, 50Hz transmission system with three zones. RMS measurements from one end were used to train the neural network to classify faults. The neural network approach provides fast, secure and reliable protection for double circuit transmission lines.
To identify and simulate conventional type of disturbance on the overhead transmission line by using PSCAD / EMTDC software package
To develop mathematical model for various type of disturbance on overhead transmission line.
To develop a smart algorithm for fault detection using Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO).
- This paper proposes a new technique of using discrete wavelet transform (DWT) and back-propagation neural network (BPNN) based on Clarke’s transformation for fault classification and detection on a single circuit transmission line. Simulation and training process for the neural network are done by using PSCAD / EMTDC and MATLAB. Daubechies4 mother wavelet (DB4) is used to decompose the high frequency components of these signals. The wavelet transform coefficients (WTC) and wavelet energy coefficients (WEC) for classification fault and detect patterns used as input for neural network training back-propagation (BPNN). This information is then fed into a neural network to classify the fault condition. A DWT with quasi optimal performance for preprocessing stage are presented. This study also includes a comparison of the results of training BPPN and DWT with and without Clarke’s transformation, where the results show that using Clarke transformation in training will give in a smaller mean square error (MSE) and mean absolute error (MAE). The simulation also shows that the new algorithm is more reliable and accurate.
Fault location and correction are important in case of any power systems. This process has to be prompt and accurate so that system reliability can be improved , outage time can be reduced and restoration of system from fault can be accelerated.
Fault location calculation using Magnetoresistance sensor is described here.
This document presents an unsynchronized fault location technique for multisection compound transmission lines. The objective is to identify fault locations on such lines using unsynchronized measurements from both ends of the line, without requiring knowledge of the line parameters. It formalizes the technique in several steps, including manipulating voltage and current measurements based on fault distance and line impedance. The technique then calculates the fault distance over a range of synchronization angles and selects the minimum value. The technique is able to locate faults on both overhead lines and underground cables. It provides fault distances for various single-phase and three-phase faults.
International Journal of Engineering Research and Applications (IJERA) aims to cover the latest outstanding developments in the field of all Engineering Technologies & science.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Optimal Location of Static Var Compensator Using Bat Algorithm for the Improv...IJERA Editor
This document summarizes a research paper that proposes using a bat algorithm to determine the optimal location of static VAR compensators (SVCs) to improve voltage profiles in power systems. The bat algorithm is applied to the IEEE 30-bus test system to identify optimal bus locations for SVCs. Simulation results show the benefits of SVC placement in improving voltage stability based on the defined objective function.
Transmission line is one the important compnent in protection of electric power system because the transmission line connects the power station with load centers.
The fault includes storms, lightning, snow, damage to insulation, short circuit fault [1].
Fault needs to be predicted earlier in order to be prevented before it occur
Performance Analysis of ANN Training Algorithms to Detect the Magnetization L...IOSR Journals
This document analyzes and compares different artificial neural network (ANN) training algorithms for detecting the magnetization level in the magnetic core of a welding transformer. Three algorithms are evaluated: Resilient Backpropagation, Levenberg-Marquardt, and Gradient Descent. Resilient Backpropagation and Levenberg-Marquardt produced similar results in terms of root mean square error but Resilient Backpropagation is preferred due to its faster computational time and simpler algorithm. Gradient Descent was found not suitable for this application. The document concludes that Resilient Backpropagation is the best algorithm for detecting the magnetization level based on the evaluation factors.
A Fault Detection and Classification Method for SC Transmission Line Using Ph...paperpublications3
Abstract: In this paper, fault detection and classification for Series Compensated Line (SCL) using phasor measurement unit is presented. The algorithm presented in this paper uses the PMU synchronized measurements and not depends on the data to be provided by the electricity utility. The compensated line parameters and Thevenin’s equivalent (TE) of the system at SCL terminals are calculated online, using three independent sets of pre-fault phasor measurements. The accuracy of fault location is performed with respect to fault location/position, types of fault, fault angle. The accuracy of the algorithm is simulated in MATLAB for 9-bus transmission system.
This document describes simulations carried out on Distributed Power-Flow Controller (DPFC) technology. Key points:
- DPFC is derived from Unified Power Flow Controller (UPFC) but eliminates the common DC link between shunt and series converters. Active power is exchanged through the transmission line using third-harmonic frequency components.
- DPFC has advantages over UPFC of lower cost due to lower component ratings/isolation for series converter, and higher reliability due to redundancy of series converters.
- Detailed simulations were performed on a two-machine system to illustrate DPFC's control features and ability to increase power transfer capability and improve system reliability compared to conventional systems. Laboratory tests validated the DPFC operating principle and
Power System Simulation Laboratory Manual Santhosh Kumar
This document outlines experiments related to power system simulation laboratory. It includes 10 experiments covering topics like computation of transmission line parameters, modeling of transmission lines, formation of bus admittance and impedance matrices, load flow analysis using different methods, fault analysis, stability analysis of single machine and multimachine systems, electromagnetic transients, load-frequency dynamics, and economic dispatch. The document provides theoretical background and procedures for conducting each experiment using MATLAB software. Sample problems are also included for some experiments to demonstrate the modeling and simulation of different power system components and analysis.
This document proposes using continuous wavelet transform (CWT) with a complex Morlet wavelet to detect low frequency oscillations in a power system. CWT is applied to signals measured from a two-area four-machine power system model. The results extract the frequency and damping of inter-area oscillations, which closely match those obtained from eigenvalue analysis. This demonstrates CWT as an effective technique for identifying low frequency oscillations in power systems.
Permanent Fault Location in Distribution System Using Phasor Measurement Unit...IJECEIAES
This paper proposes a new method for locating high impedance fault in distribution systems using phasor measurement units (PMUs) installed at certain locations of the system. To implement this algorithm, at first a new method is suggested for the placement of PMUs. Taking information from the units, voltage and current of the entire distribution system are calculated. Then, the two buses in which the fault has been occurred is determined, and location and type of the fault are identified. The main characteristics of the proposed method are: the use of distributed parameter line model in phase domain, considering the presence of literals, and high precision in calculating the high impedance fault location. The results obtained from simulations in EMTP-RV and MATLAB software indicate high accuracy and independence of the proposed method from the fault type, fault location and fault resistance compared to previous methods, so that the maximum observed error was less than 0.15%.
ANALYSIS OF LIGHTNING STRIKE WITH CORONA ON OHTL NEAR THE SUBSTATION BY EMTP ADEIJ Journal
Lightning protection and insulation coordination of transmission lines and substations require an accurate
knowledge of the magnitudes and waveforms of lightning overvoltage. To simulate the lightning
overvoltage precisely near the substation, this study has shown how to consider the lightning impulse
corona for distortion effect of this overvoltage.
Sliding Discrete Fourier Transform (SDFT) is very efficient regarding computational load and it possesses a very fast phase angle detection with excellent harmonic rejection at nominal frequency. However, at off-nominal frequency, SDFT generates errors in both magnitude and phase angle due to spectral leakage. This paper introduces a workaround for Fourier Transform to handle this disability under off-nominal frequency while avoiding variable-rate sampling. Sliding Fourier Transform (SFT) is used as a phase detector for a phase-locked loop whose output frequency is used to drive the SFT. The paper revisits the mathematics of Fourier Transform (FT) in a three-phase setting via a time-domain approach to show a newly proposed filtering technique for the double-frequency oscillation just by summing the FT sine/cosine filter outputs of the three individual phases. Also, the analysis aims to determine and correct the phase and magnitude errors under offnominal frequency operation. The proposed technique (SFT-PLL) is tested in real time on dSPACE DS1202 DSP using voltage vectors that are pregenerated to simulate the most adverse grid conditions. The testing scenarios compare the performance of the SFT-PLL with that of the Decoupled Stationary Reference Frame PLL (dαβPLL). The results prove that SFT-PLL is superior to dαβPLL.
Wavelet-Based Fault Location and Distance Protection Method for Transmission ...IJERA Editor
This paper presents a single-ended traveling wave -based fault location and distance protection method for a hybrid transmission line: an overhead line combined with an underground cable. Dis-crete wavelet transformation (DWT) is used to extract transient information from the measured voltages. Support vector machine (SVM) classifiers are utilized to identify the faulty-section and faulty-half. Bewley diagrams are observed for the traveling wave patterns and the wavelet coeffi cients of the aerial mode voltage are used to locate the fault. The transient simulation for different fault types and locations are obtained by ATP using frequency - de-pendent line and cable models. MATLAB is used to process the simulated transients and apply the proposed method. The perfor-mance of the method is tested for different fault inception angles (FIA), different fault resistances, non-linear high impedance faults (NLHIF), and non-ideal faults with satisfactory results. The impact of cable aging on the proposed method accuracy is also investigated.
Laboratory Setup for Long Transmission LineIRJET Journal
This document describes the design and development of a laboratory model for a long transmission line. Key aspects include:
1) The model is based on scaled down parameters of an actual 351km, 375MVA, 400kV transmission line between Koradi and Bhushawal.
2) The line is represented by 7 pi sections, with each section modeling 50km. Components like inductors, capacitors, contactors, and meters were selected based on calculations.
3) Hardware implementation includes the physical construction of the model along with automation using PLC and SCADA for online monitoring.
4) Testing showed the model demonstrated phenomena like Ferranti effect similarly to the actual line. The model can be
The document compares different algorithms for detecting voltage sags and swells in power systems. It describes RMS voltage detection, peak voltage detection, and discrete Fourier transform (DFT) methods. RMS detection uses historical data so it can be slow for mitigation. Peak detection requires only single-phase values but DFT is best for steady signals and not fast transients. The paper proposes a novel real-time algorithm to rapidly detect voltage sags and compares it to existing methods.
A Tactical Chaos based PWM Technique for Distortion Restraint and Power Spect...IJPEDS-IAES
The pulse width modulated voltage source inverters (PWM-VSI) dominate in the modern industrial environment. The conventional PWM methods are designed to have higher fundamental voltage, easy filtering and reduced total harmonic distortion (THD). There are number of clustered harmonics around the multiples of switching frequency in the output of conventional sinusoidal pulse width modulation (SPWM) and space vector pulse width modulation (SVPWM) inverters. This is due to their fixed switching frequency while the variable switching frequency makes the filtering very complex. Random carrier PWM (RCPWM) methods are the host of PWM methods, which use randomized carrier frequency and result in a harmonic profile with well distributed harmonic power (no harmonic possesses significant magnitude and hence no filtering is required). This paper proposes a chaos-based PWM (CPWM) strategy, which utilizes a chaotically changing switching frequency to spread the harmonics continuously to a wideband and to reduce the peak harmonics to a great extent. This can be an effective way to suppress the current harmonics and torque ripple in induction motor drives. The proposed CPWM scheme is simulated using MATLAB / SIMULINK software and implemented in three phase voltage source inverter (VSI) using field programmable gate array (FPGA).
Ijeee 28-32-accurate fault location estimation in transmission linesKumar Goud
Accurate Fault Location Estimation in Transmission Lines
B. Narsimha Reddy Dr. P. Chandra Sekar
Sr. Assistant Professor, Dept. of EEE Associate Professor, Dept. of EEE
Mahatma Gandhi Institute of Technology Mahatma Gandhi Institute of Technology
Hyderabad, TS, India Hyderabad, TS, India
babubnr@gmail.com Pcs_76@rediffmail.com
Abstract: In trendy power transmission systems, the double-circuit line structure is increasingly adopted. However, owing to the mutual coupling between the parallel lines it is quite difficult to style correct fault location algorithms. Moreover, the widely used series compensator and its protecting device introduce harmonics and non-linearity’s to the transmission lines, that create fault location a lot of difficult. To tackle these issues, this thesis is committed to developing advanced fault location strategies for double-circuit and series-compensated transmission lines. Algorithms utilizing thin measurements for pinpointing the situation of short-circuit faults on double-circuit lines square measure planned. By moldering the initial net-work into 3 sequence networks, the bus ohmic resistance matrix for every network with the addition of the citations fault bus may be developed. It’s a perform of the unknown fault location. With the increased bus ohmic resistance matrices the sequence voltage amendment throughout the fault at any bus may be expressed in terms of the corresponding sequence fault current and also the transfer ohmic resistance between the fault bus and the measured bus. Resorting to tape machine the superimposed sequence current at any branch may be expressed with relevancy the pertaining sequence fault current and transfer ohmic resistance terms. Obeying boundary conditions of different fault sorts, four different categories of fault location algorithms utilizing either voltage phasors, or phase voltage magnitudes, or current phasors or section current magnitudes square measure derived. The distinguishing characteristic of the planned methodology is that the information measurements need not stem from the faulted section itself. Quite satisfactory results are obtained victimisation EMTP simulation studies. A fault location rule for series-compensated transmission lines that employs two-terminal asynchronous voltage and current measurements has been implemented. For the distinct cases that the fault happens either on the left or on the right aspect of the series compensator, 2 subroutines square measure developed. In addition, the procedure to spot the proper fault location estimate is represented during this work. Simulation studies disbursed with Matlab Sim Power Systems show that the fault location results square measure terribly correct.
Keywords: Ohmic Resistance, Transmission Lines, PMU, DFR, VCR, EMTP, MOV.
This document summarizes a research paper that explores using synchrophasor technology for transmission line fault detection via current differential protection. It begins by discussing limitations of traditional current differential protection schemes. It then provides details on implementing a digital current differential protection scheme using synchronized phasor measurements from Phasor Measurement Units at both ends of a transmission line. The paper describes simulating this approach in MATLAB for different fault types, locations, and resistances on a sample transmission system. It is able to compensate for charging currents and achieve nearly 100% reliability in fault detection using synchrophasor-based current differential protection.
1) The document describes the simulation of a differential relay for transformer protection using MATLAB/Simulink. A differential relay operates by comparing the current flowing into and out of a transformer and tripping the circuit breaker if there is a difference, indicating an internal fault.
2) The simulation models a power system including a transformer protected by a differential relay. Current transformers measure the primary and secondary currents which are compared in the relay.
3) Under normal operation the currents match and the relay does not trip, but internal faults create a difference that causes the relay to send a trip signal to the circuit breakers to isolate the fault. The simulation tests the relay under different fault conditions.
To identify and simulate conventional type of disturbance on the overhead transmission line by using PSCAD / EMTDC software package
To develop mathematical model for various type of disturbance on overhead transmission line.
To develop a smart algorithm for fault detection using Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO).
- This paper proposes a new technique of using discrete wavelet transform (DWT) and back-propagation neural network (BPNN) based on Clarke’s transformation for fault classification and detection on a single circuit transmission line. Simulation and training process for the neural network are done by using PSCAD / EMTDC and MATLAB. Daubechies4 mother wavelet (DB4) is used to decompose the high frequency components of these signals. The wavelet transform coefficients (WTC) and wavelet energy coefficients (WEC) for classification fault and detect patterns used as input for neural network training back-propagation (BPNN). This information is then fed into a neural network to classify the fault condition. A DWT with quasi optimal performance for preprocessing stage are presented. This study also includes a comparison of the results of training BPPN and DWT with and without Clarke’s transformation, where the results show that using Clarke transformation in training will give in a smaller mean square error (MSE) and mean absolute error (MAE). The simulation also shows that the new algorithm is more reliable and accurate.
Fault location and correction are important in case of any power systems. This process has to be prompt and accurate so that system reliability can be improved , outage time can be reduced and restoration of system from fault can be accelerated.
Fault location calculation using Magnetoresistance sensor is described here.
This document presents an unsynchronized fault location technique for multisection compound transmission lines. The objective is to identify fault locations on such lines using unsynchronized measurements from both ends of the line, without requiring knowledge of the line parameters. It formalizes the technique in several steps, including manipulating voltage and current measurements based on fault distance and line impedance. The technique then calculates the fault distance over a range of synchronization angles and selects the minimum value. The technique is able to locate faults on both overhead lines and underground cables. It provides fault distances for various single-phase and three-phase faults.
International Journal of Engineering Research and Applications (IJERA) aims to cover the latest outstanding developments in the field of all Engineering Technologies & science.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Optimal Location of Static Var Compensator Using Bat Algorithm for the Improv...IJERA Editor
This document summarizes a research paper that proposes using a bat algorithm to determine the optimal location of static VAR compensators (SVCs) to improve voltage profiles in power systems. The bat algorithm is applied to the IEEE 30-bus test system to identify optimal bus locations for SVCs. Simulation results show the benefits of SVC placement in improving voltage stability based on the defined objective function.
Transmission line is one the important compnent in protection of electric power system because the transmission line connects the power station with load centers.
The fault includes storms, lightning, snow, damage to insulation, short circuit fault [1].
Fault needs to be predicted earlier in order to be prevented before it occur
Performance Analysis of ANN Training Algorithms to Detect the Magnetization L...IOSR Journals
This document analyzes and compares different artificial neural network (ANN) training algorithms for detecting the magnetization level in the magnetic core of a welding transformer. Three algorithms are evaluated: Resilient Backpropagation, Levenberg-Marquardt, and Gradient Descent. Resilient Backpropagation and Levenberg-Marquardt produced similar results in terms of root mean square error but Resilient Backpropagation is preferred due to its faster computational time and simpler algorithm. Gradient Descent was found not suitable for this application. The document concludes that Resilient Backpropagation is the best algorithm for detecting the magnetization level based on the evaluation factors.
A Fault Detection and Classification Method for SC Transmission Line Using Ph...paperpublications3
Abstract: In this paper, fault detection and classification for Series Compensated Line (SCL) using phasor measurement unit is presented. The algorithm presented in this paper uses the PMU synchronized measurements and not depends on the data to be provided by the electricity utility. The compensated line parameters and Thevenin’s equivalent (TE) of the system at SCL terminals are calculated online, using three independent sets of pre-fault phasor measurements. The accuracy of fault location is performed with respect to fault location/position, types of fault, fault angle. The accuracy of the algorithm is simulated in MATLAB for 9-bus transmission system.
This document describes simulations carried out on Distributed Power-Flow Controller (DPFC) technology. Key points:
- DPFC is derived from Unified Power Flow Controller (UPFC) but eliminates the common DC link between shunt and series converters. Active power is exchanged through the transmission line using third-harmonic frequency components.
- DPFC has advantages over UPFC of lower cost due to lower component ratings/isolation for series converter, and higher reliability due to redundancy of series converters.
- Detailed simulations were performed on a two-machine system to illustrate DPFC's control features and ability to increase power transfer capability and improve system reliability compared to conventional systems. Laboratory tests validated the DPFC operating principle and
Power System Simulation Laboratory Manual Santhosh Kumar
This document outlines experiments related to power system simulation laboratory. It includes 10 experiments covering topics like computation of transmission line parameters, modeling of transmission lines, formation of bus admittance and impedance matrices, load flow analysis using different methods, fault analysis, stability analysis of single machine and multimachine systems, electromagnetic transients, load-frequency dynamics, and economic dispatch. The document provides theoretical background and procedures for conducting each experiment using MATLAB software. Sample problems are also included for some experiments to demonstrate the modeling and simulation of different power system components and analysis.
This document proposes using continuous wavelet transform (CWT) with a complex Morlet wavelet to detect low frequency oscillations in a power system. CWT is applied to signals measured from a two-area four-machine power system model. The results extract the frequency and damping of inter-area oscillations, which closely match those obtained from eigenvalue analysis. This demonstrates CWT as an effective technique for identifying low frequency oscillations in power systems.
Permanent Fault Location in Distribution System Using Phasor Measurement Unit...IJECEIAES
This paper proposes a new method for locating high impedance fault in distribution systems using phasor measurement units (PMUs) installed at certain locations of the system. To implement this algorithm, at first a new method is suggested for the placement of PMUs. Taking information from the units, voltage and current of the entire distribution system are calculated. Then, the two buses in which the fault has been occurred is determined, and location and type of the fault are identified. The main characteristics of the proposed method are: the use of distributed parameter line model in phase domain, considering the presence of literals, and high precision in calculating the high impedance fault location. The results obtained from simulations in EMTP-RV and MATLAB software indicate high accuracy and independence of the proposed method from the fault type, fault location and fault resistance compared to previous methods, so that the maximum observed error was less than 0.15%.
ANALYSIS OF LIGHTNING STRIKE WITH CORONA ON OHTL NEAR THE SUBSTATION BY EMTP ADEIJ Journal
Lightning protection and insulation coordination of transmission lines and substations require an accurate
knowledge of the magnitudes and waveforms of lightning overvoltage. To simulate the lightning
overvoltage precisely near the substation, this study has shown how to consider the lightning impulse
corona for distortion effect of this overvoltage.
Sliding Discrete Fourier Transform (SDFT) is very efficient regarding computational load and it possesses a very fast phase angle detection with excellent harmonic rejection at nominal frequency. However, at off-nominal frequency, SDFT generates errors in both magnitude and phase angle due to spectral leakage. This paper introduces a workaround for Fourier Transform to handle this disability under off-nominal frequency while avoiding variable-rate sampling. Sliding Fourier Transform (SFT) is used as a phase detector for a phase-locked loop whose output frequency is used to drive the SFT. The paper revisits the mathematics of Fourier Transform (FT) in a three-phase setting via a time-domain approach to show a newly proposed filtering technique for the double-frequency oscillation just by summing the FT sine/cosine filter outputs of the three individual phases. Also, the analysis aims to determine and correct the phase and magnitude errors under offnominal frequency operation. The proposed technique (SFT-PLL) is tested in real time on dSPACE DS1202 DSP using voltage vectors that are pregenerated to simulate the most adverse grid conditions. The testing scenarios compare the performance of the SFT-PLL with that of the Decoupled Stationary Reference Frame PLL (dαβPLL). The results prove that SFT-PLL is superior to dαβPLL.
Wavelet-Based Fault Location and Distance Protection Method for Transmission ...IJERA Editor
This paper presents a single-ended traveling wave -based fault location and distance protection method for a hybrid transmission line: an overhead line combined with an underground cable. Dis-crete wavelet transformation (DWT) is used to extract transient information from the measured voltages. Support vector machine (SVM) classifiers are utilized to identify the faulty-section and faulty-half. Bewley diagrams are observed for the traveling wave patterns and the wavelet coeffi cients of the aerial mode voltage are used to locate the fault. The transient simulation for different fault types and locations are obtained by ATP using frequency - de-pendent line and cable models. MATLAB is used to process the simulated transients and apply the proposed method. The perfor-mance of the method is tested for different fault inception angles (FIA), different fault resistances, non-linear high impedance faults (NLHIF), and non-ideal faults with satisfactory results. The impact of cable aging on the proposed method accuracy is also investigated.
Laboratory Setup for Long Transmission LineIRJET Journal
This document describes the design and development of a laboratory model for a long transmission line. Key aspects include:
1) The model is based on scaled down parameters of an actual 351km, 375MVA, 400kV transmission line between Koradi and Bhushawal.
2) The line is represented by 7 pi sections, with each section modeling 50km. Components like inductors, capacitors, contactors, and meters were selected based on calculations.
3) Hardware implementation includes the physical construction of the model along with automation using PLC and SCADA for online monitoring.
4) Testing showed the model demonstrated phenomena like Ferranti effect similarly to the actual line. The model can be
The document compares different algorithms for detecting voltage sags and swells in power systems. It describes RMS voltage detection, peak voltage detection, and discrete Fourier transform (DFT) methods. RMS detection uses historical data so it can be slow for mitigation. Peak detection requires only single-phase values but DFT is best for steady signals and not fast transients. The paper proposes a novel real-time algorithm to rapidly detect voltage sags and compares it to existing methods.
A Tactical Chaos based PWM Technique for Distortion Restraint and Power Spect...IJPEDS-IAES
The pulse width modulated voltage source inverters (PWM-VSI) dominate in the modern industrial environment. The conventional PWM methods are designed to have higher fundamental voltage, easy filtering and reduced total harmonic distortion (THD). There are number of clustered harmonics around the multiples of switching frequency in the output of conventional sinusoidal pulse width modulation (SPWM) and space vector pulse width modulation (SVPWM) inverters. This is due to their fixed switching frequency while the variable switching frequency makes the filtering very complex. Random carrier PWM (RCPWM) methods are the host of PWM methods, which use randomized carrier frequency and result in a harmonic profile with well distributed harmonic power (no harmonic possesses significant magnitude and hence no filtering is required). This paper proposes a chaos-based PWM (CPWM) strategy, which utilizes a chaotically changing switching frequency to spread the harmonics continuously to a wideband and to reduce the peak harmonics to a great extent. This can be an effective way to suppress the current harmonics and torque ripple in induction motor drives. The proposed CPWM scheme is simulated using MATLAB / SIMULINK software and implemented in three phase voltage source inverter (VSI) using field programmable gate array (FPGA).
Ijeee 28-32-accurate fault location estimation in transmission linesKumar Goud
Accurate Fault Location Estimation in Transmission Lines
B. Narsimha Reddy Dr. P. Chandra Sekar
Sr. Assistant Professor, Dept. of EEE Associate Professor, Dept. of EEE
Mahatma Gandhi Institute of Technology Mahatma Gandhi Institute of Technology
Hyderabad, TS, India Hyderabad, TS, India
babubnr@gmail.com Pcs_76@rediffmail.com
Abstract: In trendy power transmission systems, the double-circuit line structure is increasingly adopted. However, owing to the mutual coupling between the parallel lines it is quite difficult to style correct fault location algorithms. Moreover, the widely used series compensator and its protecting device introduce harmonics and non-linearity’s to the transmission lines, that create fault location a lot of difficult. To tackle these issues, this thesis is committed to developing advanced fault location strategies for double-circuit and series-compensated transmission lines. Algorithms utilizing thin measurements for pinpointing the situation of short-circuit faults on double-circuit lines square measure planned. By moldering the initial net-work into 3 sequence networks, the bus ohmic resistance matrix for every network with the addition of the citations fault bus may be developed. It’s a perform of the unknown fault location. With the increased bus ohmic resistance matrices the sequence voltage amendment throughout the fault at any bus may be expressed in terms of the corresponding sequence fault current and also the transfer ohmic resistance between the fault bus and the measured bus. Resorting to tape machine the superimposed sequence current at any branch may be expressed with relevancy the pertaining sequence fault current and transfer ohmic resistance terms. Obeying boundary conditions of different fault sorts, four different categories of fault location algorithms utilizing either voltage phasors, or phase voltage magnitudes, or current phasors or section current magnitudes square measure derived. The distinguishing characteristic of the planned methodology is that the information measurements need not stem from the faulted section itself. Quite satisfactory results are obtained victimisation EMTP simulation studies. A fault location rule for series-compensated transmission lines that employs two-terminal asynchronous voltage and current measurements has been implemented. For the distinct cases that the fault happens either on the left or on the right aspect of the series compensator, 2 subroutines square measure developed. In addition, the procedure to spot the proper fault location estimate is represented during this work. Simulation studies disbursed with Matlab Sim Power Systems show that the fault location results square measure terribly correct.
Keywords: Ohmic Resistance, Transmission Lines, PMU, DFR, VCR, EMTP, MOV.
This document summarizes a research paper that explores using synchrophasor technology for transmission line fault detection via current differential protection. It begins by discussing limitations of traditional current differential protection schemes. It then provides details on implementing a digital current differential protection scheme using synchronized phasor measurements from Phasor Measurement Units at both ends of a transmission line. The paper describes simulating this approach in MATLAB for different fault types, locations, and resistances on a sample transmission system. It is able to compensate for charging currents and achieve nearly 100% reliability in fault detection using synchrophasor-based current differential protection.
1) The document describes the simulation of a differential relay for transformer protection using MATLAB/Simulink. A differential relay operates by comparing the current flowing into and out of a transformer and tripping the circuit breaker if there is a difference, indicating an internal fault.
2) The simulation models a power system including a transformer protected by a differential relay. Current transformers measure the primary and secondary currents which are compared in the relay.
3) Under normal operation the currents match and the relay does not trip, but internal faults create a difference that causes the relay to send a trip signal to the circuit breakers to isolate the fault. The simulation tests the relay under different fault conditions.
Dynamic Performance of Distance Relayson Series Compensated Transmission Line...Premier Publishers
Series compensation is installed in power system networks to increase power transfer capacity, improve the system stability, reduce system losses, improve voltage regulation and for achieving flexible power flow control. Distance relays are widely used as main or backup protection of transmission lines including series-compensated transmission lines. The performance of conventional distance relays is affected by series capacitors and cause certain protection issues. This paper briefly discusses the problems like voltage inversion, current inversion, overreach and under reach during the fault conditions specific to series compensated lines. The behavior of capacitor protection techniques is discussed with simulations performed using Real Time Digital Simulator (RTDS) simulator for a typical 400 kV system having series compensation. The analysis is based on Transmission Line fault simulations, internal and external to the 400-transmission line where the Fixed Series Compensation (FSC)is installed.
Faults Diagnosis in Five-Level Three-Phase Shunt Active Power FilterIAES-IJPEDS
In this paper, characteristics of open transistor faults in cascaded H-bridge
five-level three-phase PWM controlled shunt active power filter are
determined. Phase currents can’t be trusted as fault indicator since their
waveforms are slightly changed in the presence of open transistor fault. The
proposed method uses H bridges output voltages to determine the faulty
phase, the faulty bridge and more precisely, the open fault transistor.
Signal-Energy Based Fault Classification of Unbalanced Network using S-Transf...idescitation
This document presents a technique for classifying faults on overhead transmission lines using S-Transform and a Probabilistic Neural Network (PNN) classifier. Voltage signals are processed using S-Transform to extract energy features from each phase. These 3 features (1 per phase) are used as inputs to a PNN classifier to determine the type of fault (e.g. line-ground, line-line) and faulty phase. The method was tested on a simulated 3-phase transmission line model in MATLAB with different fault conditions. It produced accurate classification results, even when noise was added to the signals. The paper concludes the method provides fast and accurate fault classification.
This document presents a new method for locating ungrounded faults in underground distribution systems using wavelet analysis and artificial neural networks (ANNs). Voltage and current signals are simulated for different fault types, locations, and conditions using EMTP software. Wavelet analysis is used to extract features from the signals related to fault classification and location. ANNs are then applied to classify fault types based on the extracted features and to determine the fault location for each fault type based on additional extracted features. The results indicate the technique can accurately locate faults under a variety of system conditions.
This document contains details about the Power System Analysis course offered at Muthayammal Engineering College. It includes 5 units that cover topics like power flow analysis, fault analysis of balanced and unbalanced faults, and power system stability. The course aims to impart knowledge of power system modeling and numerical methods for solving power flow and stability problems. It also covers analysis of faults using methods like symmetrical components. The document lists the course faculty, objectives, outcomes, textbooks, and topics to be covered in each unit.
IRJET- A Simple Approach to Identify Power System Transmission Line Faults us...IRJET Journal
This paper presents a Probabilistic Neural Network (PNN) approach for identifying and classifying faults on power transmission lines. The PNN is trained on voltage waveform data simulated using Electromagnetic Transient Program (EMTP) software for different fault types and locations on a 150km transmission line. Only two sets of simulated data are used to train the PNN, requiring less computation than other methods that preprocess data. The trained PNN is able to accurately identify and classify fault types based on the voltage waveform, which helps ensure reliable power transmission by isolating only faulty lines or phases.
WAVELET- FUZZY BASED MULTI TERMINAL TRANSMISSION SYSTEM PROTECTION SCHEME IN ...Wireilla
The document describes a proposed wavelet-fuzzy based multi-terminal transmission system protection scheme for accurate fault detection, classification, and location estimation in the presence of a STATCOM controller. The scheme uses wavelet transform to analyze current signals at terminals to detect and classify faults. A fuzzy inference system is then used to estimate the fault location. Digital simulations were performed on a four terminal transmission system with variations in fault distance, type, and inception angle. The results showed the scheme can accurately detect and classify faults within half a cycle and is suitable for multi-terminal systems with or without STATCOM compensation.
WAVELET- FUZZY BASED MULTI TERMINAL TRANSMISSION SYSTEM PROTECTION SCHEME IN ...ijfls
In This Paper, A New Protection Scheme In The Areas Of Accurate Fault Detection, Classification And
Location Estimation For Multi Terminal Transmission System Compensated With Statcom Is Proposed.
The Fault Indices Of All The Phases At All The Terminals Are Obtained By Analyzing The Detail
Coefficients Of Current Signals Through Bior 1.5 Mother Wavelet. The Complete Digital Simulation Of A
Transmission System With Statcom Is Performed Using Matlab /Simulink For Fault Detection,
Classification, And Faulty Terminal Identification With Variations In Fault Distance And Fault Inception
Angle For All Types Of Faults And Fuzzy Inference System Is Used To Estimate The Fault Location. The
Protection Scheme Yielded Accurate Results Within Half Cycle And Show That The Above Scheme Is
Suitable For Multi Terminal Transmission System With And Without Statcom Compensation.
The Need for Enhanced Power System Modelling Techniques and Simulation ToolsPower System Operation
This document discusses power system modeling techniques and simulation tools. It covers:
1) Static models like power flow and fault level studies that represent steady-state network behavior using phasor/sequence models.
2) Dynamic RMS models that simulate time-domain performance for stability studies using positive or three-phase representation.
3) Emerging needs for more advanced tools due to the increasing complexity of power systems with high renewable penetration, requiring electromagnetic transient models to capture sub-cycle dynamics.
A Novel Study on Bipolar High Voltage Direct Current Transmission Lines Prote...IJECEIAES
In long dc transmission lines identification of fault is important for transferring a large amount of power. In bipolar Line commutated converter transmission lines are subjected to harsh weather condition so accurate and rapid clearance of fault is essential. A comparative study of the bipolar system with both converters healthy and one converter tripped is studied. Most of the research paper has focussed on transmission line faults in bipolar mode but none of them had focussed when HVDC system works in monopolar mode after the fault. In the proposed scheme the voltage signals are extracted from both poles of the rectifier ends and are processed to identify the faults in transmission lines.The Artificial neural network is utilised in detecting the fault in both bipolar and monopolar system. Since it can identify the relationship between input and output data to detect the fault pattern it can be utilised under all conditions. Moreover, benefits of the proposed method are its accuracy, no requirement of the communication system as it acquires data from one end and has a reach setting of 99%.
Direct Torque Control of A 5-Phase Induction Motorijsrd.com
In this paper an effective direct torque control (DTC) for a 5-phase induction motor with sinusoidal distributed windings is developed. First by coordinate transformation, the converter/motor models are represented by two independent equivalent d-q circuit models; and the 5- phase VSI input are decoupled into the torque producing and non-torque producing harmonics sets. Then with the torque production component of the induction motor model, the space vector modulation (SVM) can be applied to the fivephase induction motor DTC control, resulting in considerable torque ripple reduction over the lookup table method. Based on the decoupled system model, the current distortion issue due to lack of back EMF for certain harmonics is analysed. Two equally effective SVM schemes with the harmonic cancellation effect are introduced to solve this problem. To analyse the DTC control torque ripple, an insightful perspective (also applicable to 3-phase analysis) is introduced to predict the torque ripple pattern evolution with changing motor speed and stator flux angular position. Therefore the switching sequence for lowest torque ripple can be determined and rearranged online.
The document proposes a method to detect symmetrical faults during power swings using differential power calculations. It calculates the differential power as the difference between predicted and actual voltage and current samples. Voltage and current are predicted using an auto-regression technique. The method is tested on different power systems and fault conditions and is found to accurately identify symmetrical faults during slow and fast power swings.
The document proposes a differential power-based technique to detect symmetrical faults during power swings. It uses an auto-regression method to predict voltage and current samples during swings. The difference between predicted and actual samples is used to calculate differential power, which is high for faults and low for swings. The method was tested on different systems and fault scenarios and could accurately identify faults during slow and fast swings.
The Need for Enhanced Power System Modelling Techniques & Simulation Tools Power System Operation
The Need for Enhanced Power System Modelling Techniques & Simulation Tools The Need for Enhanced Power System Modelling Techniques The Need for Enhanced Power System Modelling Techniques & Simulation Tools The Need for Enhanced Power System Modelling Techniques & Simulation Tools & Simulation Tools
Line Losses in the 14-Bus Power System Network using UPFCIDES Editor
Controlling power flow in modern power systems
can be made more flexible by the use of recent developments
in power electronic and computing control technology. The
Unified Power Flow Controller (UPFC) is a Flexible AC
transmission system (FACTS) device that can control all the
three system variables namely line reactance, magnitude and
phase angle difference of voltage across the line. The UPFC
provides a promising means to control power flow in modern
power systems. Essentially the performance depends on proper
control setting achievable through a power flow analysis
program. This paper presents a reliable method to meet the
requirements by developing a Newton-Raphson based load
flow calculation through which control settings of UPFC can
be determined for the pre-specified power flow between the
lines. The proposed method keeps Newton-Raphson Load Flow
(NRLF) algorithm intact and needs (little modification in the
Jacobian matrix). A MATLAB program has been developed to
calculate the control settings of UPFC and the power flow
between the lines after the load flow is converged. Case studies
have been performed on IEEE 5-bus system and 14-bus system
to show that the proposed method is effective. These studies
indicate that the method maintains the basic NRLF properties
such as fast computational speed, high degree of accuracy and
good convergence rate.
Fault identification in transformer windingeSAT Journals
This document discusses fault identification in transformer windings during impulse testing. It presents an analysis of transformer winding current waveforms using both time-domain and frequency-domain (Fast Fourier Transform) methods to classify insulation failures. Simulation results are shown for a range of distribution transformer models with different fault types created at various locations. The proposed approach is applied to an analog model of a 12kVA single-phase transformer, with faults detected by analyzing the neutral currents under applied low voltage impulses.
Similar to Wavelet based detection and location of faults in 400kv, 50km Underground Power Cables (20)
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
A review on techniques and modelling methodologies used for checking electrom...
Wavelet based detection and location of faults in 400kv, 50km Underground Power Cables
1. ISSN (e): 2250 – 3005 || Vol, 05 || Issue,02 || February – 2015 ||
International Journal of Computational Engineering Research (IJCER)
www.ijceronline.com Open Access Journal Page 8
Wavelet based detection and location of faults in 400kv, 50km
Underground Power Cables
D.Prabhavathi1
, K.Prakasam2
, Dr.M.Suryakalavathi3
,
Dr.B.Ravindranath Reddy4
1
Department of Electrical and Electronics Engineering, Sri Sivani College of
Engineering,Srikakulam,A.P.INDIA
2
Department of Electrical and Electronics Engineering, Sri Sivani College of
Engineering,Srikakulam,A.P,INDIA
3
Department of Electrical and Electronics Engineering, JNTUH, Hyderabad, INDIA.
4
Department of Electrical and Electronics Engineering, JNTUH, Hyderabad, INDIA.
I. INTRODUCTION
Detection and Location of faults in power transmission lines is one of the main concerns for all the
electric utilities as the accurate detection and fault location can help to restore the power supply in the shortest
possible time. Fault location methods for transmission lines are broadly classified as impedance based method
which uses the steady state fundamental components of voltage and current values [1–3], travelling wave (TW)
based method which uses incident and reflected TWs observed at the measuring end(s) of the line [4, 5], and
knowledge based method which uses artificial neural network and/or pattern recognition techniques [6,7]. All
the above methods use the measured data either from one end of the transmission line or from all ends. Fault
analysis methods are an important tool used by protection engineers to estimate power system currents and
voltages during disturbances. It provides information for protection system setting, coordination and efficiency
analysis studies. Today, three approaches are used in the industry for such analysis: classical symmetrical
components, phase variable approach and complete time-domain simulations [19]. Classical fault analysis of
unbalanced power systems is based on symmetrical components approach [20, 21]. However, in un transposed
feeders with single-phase or double- phase laterals, the symmetrical component methods do not consider
accurately these specific characteristics [22]. Hence, symmetrical components based techniques may not provide
accurate results for power distribution systems, which are normally characterized by those asymmetries. With
industrial computer facilities improvement, the fault analysis phase variable approach has been proposed to
substitute the symmetrical components methods on distribution systems [23]. In the phase variable approach,
system voltages and currents are related through impedance and admittance matrices based on phase frame
representation, considering the typical distribution systems asymmetries. However, fault analysis is still fault
resistance dependant [24]. Due to fault resistance stochastic nature, typical fault analysis studies consider the
fault paths as an ideal short-circuit. To overcome this limitation, recent studies suggest the usage of fault
resistance estimation algorithms [25–27]. These works provide a fault resistance estimate using symmetrical
components or modal analysis techniques, restricting the application on balanced systems with equally
transposed lines. The usage of artificial intelligence has also been recently proposed in order to overcome the
fault resistance effects in classical power system protection [28] and fault location [29] applications.
ABSTRACT
In this paper, a method for detection and location of fault in a power line is presented.
This method can be applied for both transmission and distribution power lines of underground
cables. The proposed method is capable to determine type of fault the fault location upon its
occurrence, based on the data available from the measuring equipment. The algorithm
presented uses the fault steady-state data (voltages and currents) and the system parameters, to
calculate the fault location. The influence of the fault resistance that depends on the design
characteristics of the power line is disregarded. The proposed method has been modeled in mat
lab simulink of version 7.8.
KEYWORDS: Cables, distribution, Fault location, Fault diagnosis, steady state, transmission,
underground, wavelet,
2. Wavelet based detection and location of faults…
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II. WAVELET TRANSFORMS
A wavelet is a waveform of effectively limited duration that has an average value of zero. The driving
force behind wavelet transforms (WTs) is to overcome the disadvantages embedded in short time Fourier
transform (STFT), which provides constant resolution for all frequencies since it uses the same window for the
analysis of the inspected signal x (t). On the contrary, WTs use multi-resolution, that is, they use different
window functions to analyze different frequency bands of the signal x (t). Different window functions
ψ(s,b,t);which are also called son wavelets, can be generated by dilation or compression of a mother wavelet
ψ(t) , at different time frame. A scale is the inverse of its corresponding frequency. WTs can be categorized as
discrete WTs or continuous WTs. For vibration-based fault diagnosis, usually continuous WTs are employed. A
continuous type of wavelet transform (CWT) that is applied to the signal x (t) can be defined as,
dt
a
bt
tf
a
baw
)(
1
),( (2.1)
Where
• a is the dilation factor,
• b is the translation factor and
• ψ(t) is the mother wavelet.
• 1/a is an energy normalization term that makes wavelets of different scale has the same amount of
energy.
A continuous wavelet transform (CWT) is used to divide a continuous-time function into wavelets. Unlike
Fourier transform, the continuous wavelet transform possesses the ability to construct a time-frequency
representation of a signal that offers very good time and frequency localization. In mathematics, the continuous
wavelet transform of a continuous, square-integrable function at a scale and translational value
is expressed by the following integral
(2.2)
where is a continuous function in both the time domain and the frequency domain called the mother
wavelet and represents operation of complex conjugate. The main purpose of the mother wavelet is to provide
a source function to generate the daughter wavelets which are simply the translated and scaled versions of the
mother wavelet. To recover the original signal , inverse continuous wavelet transform can be exploited.
(2.3)
is the dual function of . And the dual function should satisfy
(2.4)
Sometimes, , where
(2.5)
is called the admissibility constant and is the Fourier transform of . For a successful inverse transform, the
admissibility constant has to satisfy the admissibility condition:
It is possible to show that the admissibility condition implies that , so that a wavelet must integrate
to zero.
III. PROPOSED SYSTEM
A 400KV, 100MVA, 50km, 50Hz power cable is considered and is designed using Mat lab simulink
with Simpower systems block sets. Since the length of the line is small, the leakage current can be neglected and
the shunt part of the line can be neglected and with the series impedance an accurate detection can be obtained.
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To induce a fault in the power line, a point in the line has to be connected to ground through a small resistance
(fault resistance), fig1 and Fig.2 represents a single-ended power line with a fault at distance x from point A.
Fig, 1 One - end power cable of 50Km long
Fig.2 Representation of a single-ended power line with a fault at distance x from point A.
Z = The source impedance. ,Z L = The line impedance
load Z =The load impedance. : load Z ,l = The line length.
X=The length from the fault location equipment (point A) to the fault.
V= The measured voltage. I = Measured current Rf = The fault resistance
If = Fault current, I = Load current
n = the per unit length from the measuring equipment (point A) to the fault: n = x/l
The mat lab simulink modeling is obtained from the mathematical modeling of the power cable and is shown in
fig.4.1.The various fault are carried and the detection and location of faults were analysed.
IV. SIMULATION STUDIES OF PROPOSED SYSTEM
This section presents the simulation results to evaluate the developed fault location algorithm. The
developed fault location algorithm is implemented in Mat lab. The model has been created with a toolbox of
Matlab/Simulink® called SimPowerSystems®. It is a collection of blocks that allow the modeling of different
elements that usually are present on power systems. It uses the Simulink as simulation engine. The studied
power system is a 400KV, 50 Hz, 50 km underground cable transmission line system. The simulation of the
algorithm is focused on a single phase-to- ground fault, a type of fault that occupies about 90% of all of the
transmission line faults. The results of the simulations are the voltage and current waveforms of the three phases
at the header of the line, the same information that can be obtained from real faults. The voltage and current
phasors are found taking the fundamental frequency by using the fast Fourier transform. With the phasors and
the model of the network, now the algorithms can be computed. The Simulink model used to simulate the
algorithm used is shown in the Figure. 4.1. Continuous wavelet transform is applied to extract the accurate
detection and location of the faults.
voltage
powergui
Discrete ,
Ts = 5e-005 s
line voltage 1
line voltage
current
ZL 1
1.414
ZL 0
1.414
Trigonometric
Function 6
cos
Trigonometric
Function 5
sin
Trigonometric
Function 3
sin
Trigonometric
Function 2
cos
Trigonometric
Function 1
cos
Trigonometric
Function
sin
Transport
Delay
To Workspace4
iabc 1
To Workspace 3
iabc 2
To Workspace2
o1
To Workspace 1
o
To Workspace
simout
Three -Phase Source
A
B
C
Three -Phase Fault1
A
B
C
A
B
CThree -Phase Fault
A
B
C
A
B
C
Three -Phase
V-I Measurement 1
Vabc
Iabc
A
B
C
a
b
c
Three -Phase
V-I Measurement
Vabc
Iabc
A
B
C
a
b
c
Three -Phase
Series RLC Load
A
B
C
Three -Phase
PI Section Line 1
A
B
C
A
B
CThree -Phase
PI Section Line
A
B
C
A
B
C
Product 9
Product 8Product 7
Product 6
Product 5
Product 4Product 3
Product 2
Product 12
Product 11
Product 10
Product 1
Gain 3
-K -
Gain 2
-K -
Gain 1
-K -
Gain
-K -
Fourier 2
s ignal
m agnitude
angle
Fourier 1
s ignal
m agnitude
angle
Fourier
s ignal
m agnitude
angle
Divide 1
Divide
Display
48 .46
3-Phase
Sequence Analyzer
abc
Mag
Phas e
4.1. MATLAB Simulink model of 400KV, 50Km Three phase UG cable
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Fig.4.2.Single line to ground fault current (AG fault)
Fig.4.3.Double line to ground fault current (ABG fault)
Fig.4.4.Three Phase to ground fault current (ABCG fault)
Fig 4.5.Single line to earth fault (AG) at 50km by wavelet transforms
Fig 4.6.Double line to earth fault (ABG) at 50km by wavelet transforms
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Fig 4.7.Tripple line to earth fault (ABCG) at 50km by wavelet transforms
Fig.4.8.Single line to ground fault current (AG fault) at 25km
Fig.4.9.Double line to ground fault current (ABG fault) at 25km
Fig.4.10.Tripple line to ground fault current (ABCG fault) at 25km
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Fig 4.11.Single line to earth fault (AG) at 25km by wavelet transforms
Fig 4.11.Double line to earth fault (ABG) at 25km by wavelet transforms
Fig 4.11.STripple line to earth fault (ABCG) at 25km by wavelet transforms
Table-1
LG Fault
Actual
Distance(km)
Measured
Distance(km)
%
Error
25 24.58 1.68
50 51.45 -2.9
Table-2
LLG Fault
Actual
Distance(km)
Measured
Distance(km)
%
Error
25 25.1 -0.4
50 49.58 0.8
Table-3
The estimation accuracy is evaluated by the percentage error calculated as per the following equation
LLLG Fault
Actual
Distance(km)
Measured
Distance(km)
%
Error
25 25.87 -3.4
50 53.18 -6.36
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Where the location of the fault is defined as the distance between the bus at which the measuring equipment are
installed, and the fault point. As can be seen, the fault location estimates are satisfactory. The location fault is
estimated in wavelet transform between the two peaks of the waveform.
V. CONCLUSIONS
This paper presents detection and location of fault in 400KV underground .The proposed algorithm
uses the steady-state data (voltages and currents), available by the measuring equipment, to calculate the fault
location. The influence of the fault resistance is disregarded. The proposed method can be used to built a stand-
alone fault locating equipment and as a part of a protective device as an impedance relay. Simulation studies
have shown that the proposed algorithm can yield quite accurate estimates of the fault detection and location.
The resultant of all types of faults are shown in figures 4.2 to 4.7 for fault at 50km and from figures 4.8 to 4.11
for faults at 25km.The resultant values of all faults are tabulated in table I, table II and table III. From this it can
be observed that the wavelet transform gives better results in detection and location of faults. The maximum
error in this analysis is -6.36%
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Acknowledgements
The authors wish to gratefully acknowledge Smt.Dr.M.Suryakalavathi, Prof Dept of E.E.E, J.N.T.U.H,
Hyderabad and her support for the completion of this work. The authors also wish to gratefully acknowledge
Dr.B.Ravindranath Reddy, Deputy Executive Engineer, J.N.T.U.H, and Hyderabad for the support given in the
completion of this research work.
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Biographies and Photographs
1)D.Prabhavathi Born in 1976 august 27, her B.Tech degree from KSRM college of
Engineering, kadapa , SV university, and M.Tech degree from SV University in the year
2004.She has specialized in Power Systems operation and control. She is currently working as
Assoc.Prof, dept of E.E.E Sri Sivani College of Engineering, Srikakaulam,
Andhrapradesh,INDIA. Her research interests include Simulation studies on faults
identification in UG cable of LT and HT. She has 13 years of experience.
2) K.Prakasam, Born in 1973 April 20, his B.Tech degree from KSRM College of
Engineering SV university in 1997 and M.Tech degree from SV university in the year 2004.
He has specialized in Power Systems operation and Control Systems. His research interests
include Simulation studies on Transients of different power system equipment. He has 16
years of experience. He is presently working as Prof .Prof and HOD of Dept of EEE, Sri
Sivani College of Engineering, Srikakaulam,Andhrapradesh,INDIA
3) Dr. M. Surya Kalavathi, Born on 8th July 1966, Obtained her B.Tech degree from S.V.
U. in 1988 and M.Tech from S.V.U. in the year 1992.Obtained her doctoral degree from
JNTU, Hyderabad and Post Doctoral from CMU, USA. She is presently working as
Professor (EEE) in JNTUH College of Engineering, Kukatpally, Hyderabad. Published 16
Research Papers and presently guiding many Ph.D. Scholars. She has specialized in Power
Systems, High Voltage Engineering and Control Systems. Her research interests include
Simulation studies on Transients of different power system equipment. She has 18 years of
experience. She has invited for various lectures.
4) Bhumanapally.Ravindhranh Reddy, Born on 3rd September, 1969. Got his B.Tech in
Electrical & Electronics Engineering from the J.N.T.U. College of Engg., Anantapur in the
year 1991. Completed his M.Tech in Energy Systems in IPGSR of J.N.T.University
Hyderabad in the year 1997.Obtained his doctoral degree from JNTU, INDIA