Abstract This thesis summarizes some of the voltage sag indices that are currently used by the industry. Power quality monitoring results obtained at two science based industrial parks are used to estimate the voltage quality of the electricity service and make comparison with data of a foreign utility company that are available in the literature. Fault position method is used in this study to estimate the distribution of voltage sag vulnerability areas due to the network topology ok in 2005. Comparison of the exposed area is presented. An assessment is conducted for the application of fault position method to estimate the fault location by using fault simulations results and power quality monitoring data.

An electric power system consists of the generating stations, the transmission lines, and the distribution systems. Transmission lines are the connecting links between the generating stations and the distribution systems. With the rapid growth of economy and technology, the demand for large blocks of power, power quality and increased reliability suggested the interconnection of neighboring systems. Transmission lines are elements of a network which connects the generating plants to the distribution systems, and could extend hundreds of miles . Because of the long distances traversed by transmission lines over open area, they tend to fade by natural and artificial calamity imposed on the power system. It maybe easy to discover the fault with sufficient information in the populous region. When fault occurs in the remote region, it is difficult to identify the outage location. An efficient and reliable technique is thus desirable to resolve the problem. This dissertation presents the fault location for high voltage lines with Artificial Neural Network( ANN ) method. Beside the fault location, this research also improve the problem further by considering the fault resistance. The fault resistance may not remain the same due to the variation of environmental factors. The fault location may involve errors owing to the fault resistance. An algorithms has been developed in this dissertation to calculate fault resistance and revise the ANN training data for three-phase fault, double line-to-ground fault, single line-to-ground fault, and line-to-line fault. To verify the effectiveness of the method, practical transmission lines were used for tests. The results proved that the method could be used to identify the fault location effectively and help dispatchers determine a reference distance.

Thesis (Ph. D.)--Drexel University, 2002. / Includes abstract and vita. Includes bibliographical references (leaves 104-109).

published_or_final_version / Computer Science / Doctoral / Doctor of Philosophy

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Travelling wave based fault location techniques work well for line commutated converter (LCC) based high voltage direct current (HVDC) transmission lines, but the large capacitors at the DC line terminals makes application of the same techniques for voltage source converter (VSC) based HVDC schemes challenging. A range of possible signals for detecting the fault generated travelling wave arrival times was investigated. Considering a typical VSC HVDC system topology and based on the study, an efficient detection scheme was proposed. In this scheme, the rate of change of the current through the surge capacitor located at each line terminal is measured by using a Rogowski coil and compared with a threshold to detect the wave fronts. Simulation studies in PSCAD showed that fault location accuracy of ±100 m is achievable for a 300 km long cable and 1000 km long overhead line. Experimental measurements in a practical HVDC converter station confirmed the viability of the proposed measurement scheme.

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