In this paper, a novel method is presented for detection and Classification of the Faulty phase/region in the stator winding of synchronous generators on the basis of the resulting harmonic components that appear in the terminal voltage waveforms. Analytical results obtained through Decision Tree (DT) show that the internal Faults are not only detectable but also they can be classified and the related region can be estimated. Therefore, this scheme can be used to protect the synchronous generators against the various internal Faults. Fuji technical documents and data sheets for an actual salient pole synchronous generator (one unit of an Iran’s hydroelectric power plants) are used for the modeling. Simulations in Maxwell software environment are presented. All the related parameters, such as B-H curve, unsymmetrical air gap and pole saliency, slot-teeth effect, and other actual parameters, are considered to obtain a comprehensive model to generate acceptable terminal voltage waveforms without any simplification.

This paper presents a novel Fault Location method for series compensated transmission lines. It is established based on synchronized voltages sampling and Thevenin impedance from both ends of series compensated transmission line. The method is based on the use of phasor measurement units (PMU) technology which is aimed to be independent of current measurements, Fault type, Fault resistance, Fault inception angle and line loading angle. This method includes two subroutines for the Faults located on the right and left sides of series capacitor (SC). Lumped modeling is considered for compensated transmission line with SC equipped with metal oxide varistor (MOV) arrester. The nonlinear behavior of SC-MOV system is investigated in the analysis. Proposed current independent Fault Location algorithm has been thoroughly tested using signals taken from simulations. According to the results, the percentage errors for the Fault distances estimation are in proper ranges.

In this paper, a new fast and accurate method for Fault detection, Location and Classification on multi-terminal direct current (MTDC) distribution networks connected to solar distributed generation and loads presented. Some issues such as DC resources and loads expanding, and try to the power quality increasing have led to MTDC networks' development. It is important to recognize the Fault type in order to continue service and prevent further damages. In this method, a circuit kit is connected to the network. Fault detection is performed with the measurement of the current of the connected kits and the traveling-waves of the Fault current and applying it to a mathematical morphology filter, in the Fault time. Determine the type and Location of Faults using a mathematical morphology filter, circuit equations and current calculations. DC series and ground arc Faults are considered as DC distribution network disturbances. The presented method was tested in a solar DC network connected to energy storages and solar resources with many Faults. The results illustrate the validity of the proposed method. The main advantages of the proposed Fault Location and Classification strategy are higher speed and accuracy than conventional approaches. The Fault Location error of the presented algorithm is less than 6. 5 percent in the worst case. This method robustly operates to changing in sampling frequency [0. 5-50 KHz], Fault resistance [0. 005-120 Ohm], and works very well in high impedance Fault.

This paper includes a novice technique for locating single line to ground Fault in electrical transmission network. Validation of the proposed algorithm is demonstrated using MATLAB Simulink. Simpower system tool box is used for the modeling of smart meter, transmission lines and single line to ground Fault (1L-G). A novel method is proposed to countercheck whether the Fault has occurred really or not. Data related to 1l-G Fault has been collected at 220kV Lonikand substation and analyzed exclusively during the visit at Kalkitech (top manufacturing company of Intelligent Electronic Devices (IEDs) in Bangalore, Karnataka, India). Effect of harmonics on Fault current measurement using smart meter is elaborated. Advancements in communication technology are illustrated from asset management perspective.

This paper presents a new Fault Location method for radial distribution networks with distributed generations.The proposed Fault Location algorithm uses the voltage and current data obtained by digital Fault recorder installed at the head of the network main feeder, with or without the data from any digital Fault recorders installed at DG connection points. The algorithm is based on fundamental frequency calculations and includes novel subroutines of current calculation of DG contained laterals and average loading factor and power factor estimation of the network transformers to solve the Fault Location problem. The method has been tested by simulation studies using EMTP on a 205-node 20kV radial distribution network containing three DG's for different data acquisition scenarios. The results verify accuracy of the method under different Fault conditions even with only one measuring point at the head of the main feeder.