DataMining and neural networks based self-adaptive protection strategies for distribution systems with DGs and FCLs

Wen Jun Tang, Hong-Tzer Yang

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In light of the development of renewable energy and concerns over environmental protection, distributed generations (DGs) have become a trend in distribution systems. In addition, fault current limiters (FCLs) may be installed in such systems to prevent the short-circuit current from exceeding the capacity of the power apparatus. However, DGs and FCLs can lead to problems, the most critical of which is miscoordination in protection system. This paper proposes overcurrent protection strategies for distribution systems with DGs and FCLs. Through the proposed approach, relays with communication ability can determine their own operating states with the help of an operation setting decision tree and topology-adaptive neural network model based on data processed through continuous wavelet transform. The performance and effectiveness of the proposed protection strategies are verified by the simulation results obtained from various system topologies with or without DGs, FCLs, and load variations.

Original languageEnglish
Article number426
JournalEnergies
Volume11
Issue number2
DOIs
Publication statusPublished - 2018 Feb 1

Fingerprint

Fault current limiters
Distributed Generation
Limiter
Distributed power generation
Distribution System
Data Mining
Fault
Neural Networks
Neural networks
Topology
Overcurrent protection
Continuous Wavelet Transform
Renewable Energy
Decision trees
Environmental protection
Neural Network Model
Decision tree
Short circuit currents
Wavelet transforms
Relay

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

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DataMining and neural networks based self-adaptive protection strategies for distribution systems with DGs and FCLs. / Tang, Wen Jun; Yang, Hong-Tzer.

In: Energies, Vol. 11, No. 2, 426, 01.02.2018.

Research output: Contribution to journalArticle

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