Proceedings ArticleDOI
Adaptive Fault Classification Approach Using Digitized Fuzzy Logic (DFL) Based on Sequence Components
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TLDR
In this paper, a fuzzy logic-based fault classification of transmission lines using Z & S type membership functions is proposed and classification is made on the basis of magnitudes positive sequence and zero sequence currents of lines during the faulty conditions.Abstract:
Since the overhead transmission lines are exposed to external faults and they ultimately disrupt the characteristics of system if not detected in defined span of time. Therefore, in order to maintain the stability and reliability of power system, it is necessary to detect the exact type of fault occurred. This research proposes a simplest fuzzy logic system to detect the type of fault on High Voltage (HVAC) 400 kV transmission lines supplied from both ends. In this paper, a fuzzy logic-based fault classification of transmission lines using Z & S type membership functions is proposed and classification is made on the basis of magnitudes positive sequence and zero sequence currents of lines during the faulty conditions. These membership functions divide the inputs into two ranges and thus making the fuzzy system digitized with low (0) and high (1) outcomes. The designed method is able to detect all types of faults i.e, three phases shorts, two phases shorts, two phase to ground, three phase to ground and single-phase to ground faults with better precision and accuracy. The suggested technique has better performance even in long transmission lines or if a fault occurs away from protection point and also for overloaded lines. The operating times for relays to isolate the fault are also calculated. The propositions are verified through fuzzy logic toolbox in MATLAB.read more
Citations
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Determination of optimal transformation ratios of power system transformers in conditions of incomplete information regarding the values of diagnostic parameters
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References
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Book
Fuzzy Logic with Engineering Applications
TL;DR: This chapter discusses Fuzzy Systems Simulation, specifically the development of Membership Functions and the Extension Principle, and some of the methods used to derive these functions.
Book
Fault Location on Power Networks
TL;DR: Fault Location on Power Lines as discussed by the authors describes basic algorithms used in fault locators, focusing on fault location on overhead transmission lines, but also covering fault location in distribution networks, including both the design and application standpoints.
Journal ArticleDOI
A review on fault classification methodologies in power transmission systems: Part—I
TL;DR: A review on fault classification methodologies in power transmission systems can be found in this article, where the authors discussed the advanced technologies developed by various researchers for fault classification in P2P systems.
Proceedings Article
Fault classification and location of power transmission lines using artificial neural network
TL;DR: In this paper, the authors described the application of an artificial neural network (ANN) based algorithm with modular structure to the fault classification and location of a single-circuit high voltage transmission line.
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