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M.Tech / M.E / PhD Thesis | Electrical Engineering | India | Volume 7 Issue 5, May 2018

Recognising Faults of Transmission Line using Wavelet Analysis, Having Renewable Energy Source

Rajbir Kaur ^[2] | Navneet Singh Bhangu

Abstract: Electric power system comprises of various complex elements, there are chances of instability, disturbances and faults in distribution and transmission lines. Distribution and Transmission lines are essential links between generating units and consumers. They are open to atmosphere, hence chance of occurrence of fault in transmission line is high, which has to be directly taken care of in order to decrease the damage caused by it. A transmission line may have faults such as single phase, double phase and three phases to ground. There are various schemes which are associated to modern relay that can work with recloser for protecting the faulted phases, also there should be precise selection for finding the right phase. One of the major concerns in the power sector is the day-to-day increasing power demand but the unavailability of enough resources to meet the power demand using the conventional energy sources. Demand has enlarged for renewable sources of energy to be utilize along with conventional system to satisfies the energy demand. Renewable sources like wind energy and solar energy are the prime energy sources which are being utilized in this regard. The center of attention is to investigate the faults in transmission lines having renewable energy resources as source of energy for power stations using the wavelet analysis for the sole aim of reliable power transmission. Different schemes for detection and classification of faults on transmission lines using renewable sources are studied and analyzed, the method involves Wavelet transform which uses fast, accurate and well-built mathematical tools. It can be done by means of particular algorithm.

Keywords: Wind Energy Conversion System, Supervisory Control and Data Acquisition system, Circuit breaker, Wavelet Transform Renewable energy, Extra high voltage, Discrete wavelet transform, Continuous Wavelet Transformation

Edition: Volume 7 Issue 5, May 2018,

Pages: 1503 - 1507

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