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Fault Detection and Classification Using Fuzzy Logic Controller and ANN

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Micro-Electronics and Telecommunication Engineering (ICMETE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 373))

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Abstract

Power transmission is a major component in electrical engineering after power generation. Fault in transmission lines is common and an obvious problem to continue proper power supply and reliability. This paper illustrates a technique to detect the type of the different faults that occur on a transmission line for accurate operation using artificial intelligence technique, i.e. fuzzy logic-based control scheme. The simulation model for fault detection is developed in MATLAB using fuzzy logic controller using phase components of voltage and current as inputs and different types of fault for output as classification. The proposed fuzzy logic controller takes neutral and phase currents, i.e. current in the red phase (IA), current in the yellow phase (IB), current in blue phase (IC), and current in the neutral phase (IN), and similarly the phase voltages. Based on the simulation results, it has been found that the proposed fuzzy logic-based fault detection model detects and classifies both symmetrical and unsymmetrical shunt faults correctly voltage in the red phase (VA), the voltage in the yellow phase (VB), and voltage in the blue phase (VC) as inputs. These membership functions are used in forming the rule base for the fuzzy logic fault detection system.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Gautam Buddha University, Greater Noida, India

    Rishabh Verma & M. A. Ansari

Authors
  1. Rishabh Verma
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  2. M. A. Ansari
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Corresponding author

Correspondence to M. A. Ansari .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ghaziabad, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Taipei, Taiwan

    Sheng-Lung Peng

  3. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ghaziabad, India

    Rohit Sharma

  4. Odessa State Environmental University, Odessa, Ukraine

    Dmitry A. Zaitsev

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Verma, R., Ansari, M.A. (2022). Fault Detection and Classification Using Fuzzy Logic Controller and ANN. In: Sharma, D.K., Peng, SL., Sharma, R., Zaitsev, D.A. (eds) Micro-Electronics and Telecommunication Engineering . ICMETE 2021. Lecture Notes in Networks and Systems, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-16-8721-1_3

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  • DOI: https://doi.org/10.1007/978-981-16-8721-1_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8720-4

  • Online ISBN: 978-981-16-8721-1

  • eBook Packages: EngineeringEngineering (R0)

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