this paper presents a fault location technique for transmission lines with minimum current measurement. this algorithm investigates proper current ratios for fault location problem based on thevenin theory in faulty power networks and calculation of short circuit currents in each branch. these current ratios are extracted regarding lowest sensitivity on thevenin impedance variations of the netw...

In this study, a neural network based methodology is proposed for power transmission line faults. The proposed method uses Probabilistic Neural Network (PNN) for classifying fault types and Resilient Propagation algorithm (RPROP) for detecting fault locations. Wavelet Transform is also proposed for feature selection and analysis. The hybrid system proposed in this study is tested using a simula...

the doubly fed induction generator (dfig) is one of the most popular technologies used in wind power systems. with the growing use of dfigs and increasing power system dependence on them in recent years, protecting of these generators against internal faults is more considered. loss of excitation (loe) event is among the most frequent failures in electric generators. however, loe detection stud...

Due to the rising power demand and increasing population worldwide, electrical power networks have been extensively growing and striving to satisfy the escalating loads. This necessitates the need for using Flexible AC Transmission System (FACTS) devices which have become indispensable during normal and abnormal operating conditions. This paper investigates the impact of using series FACTS devi...

* Department of Electrical Engineering, Texas A&M University, College Station, Texas 77843-3128 Summary– The use of Global Positioning System (GPS) of satellites has allowed the synchronization of voltage and current measurements from a wide–area power system. Using raw samples of voltage and current from the two ends of a transmission line, algorithms for fault analysis and fault location have...

The fault diagnosis of the dissolved gas analysis (DGA) of the power transformer is to be enhanced than previous adopted techniques; this paper proposes a novel adaptive neuro Fuzzy inference system for the incipient fault recognition through enhanced approach. Complying with the practical DGA records and associated fault causes as much as possible, an ANFIS algorithm is presented to establish ...

Nowadays, inverters are power electronics devices used in the renewable energy conversion systems and also to fed induction motors, therefore the continuity of service of power converter has been a major concern. This paper presents a new approach of open circuit fault detection in a pulse width modulation three phase voltage source inverter. The fault occurrence detection was based on the stan...

This paper presents the methodology to perform sensitivity analysis for impedance-based fault location methods, considering power distribution systems and the presence of distributed generation. The proposed methodology helps to determine the power distribution system model parameters, which significantly affect the fault locator performance. Having identified such parameters, the next step is ...