Adaptive protection combined with machine learning for microgrids

Hengwei Lin, Kai Sun, Zheng Hua Tan, Chengxi Liu, Josep M. Guerrero*, Juan C. Vasquez

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

2 Citationer (Scopus)

Resumé

This paper presents a rule-based adaptive protection scheme using machine-learning methodology for microgrids in extensive distribution automation (DA). The uncertain elements in a microgrid are first analysed quantitatively by Pearson correlation coefficients from data mining. Then, a so-called hybrid artificial neural network and support vector machine (ANN-SVM) model is proposed for state recognition in microgrids, which utilises the growing massive data streams in smart grids. Based on the state recognition in the algorithm, adaptive reconfigurations can be implemented with enhanced decision-making to modify the protective settings and the network topology to ensure the reliability of the intelligent operation. The effectiveness of the proposed methods is demonstrated on a microgrid model in Aalborg, Denmark and an IEEE 9 bus model, respectively.
OriginalsprogEngelsk
TidsskriftIET Generation, Transmission and Distribution
Vol/bind13
Udgave nummer6
Sider (fra-til)770-779
Antal sider10
ISSN1751-8687
DOI
StatusUdgivet - mar. 2019

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Learning systems
Adaptive algorithms
Support vector machines
Data mining
Automation
Decision making
Topology
Neural networks

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keywords = "Power engineering computing, Support vector machines, Neural nets, Smart power grids, Learning (artificial intelligence), Data mining, Distributed power generation",
author = "Hengwei Lin and Kai Sun and Tan, {Zheng Hua} and Chengxi Liu and Guerrero, {Josep M.} and Vasquez, {Juan C.}",
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Adaptive protection combined with machine learning for microgrids. / Lin, Hengwei; Sun, Kai; Tan, Zheng Hua; Liu, Chengxi; Guerrero, Josep M.; Vasquez, Juan C.

I: IET Generation, Transmission and Distribution, Bind 13, Nr. 6, 03.2019, s. 770-779.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Adaptive protection combined with machine learning for microgrids

AU - Lin, Hengwei

AU - Sun, Kai

AU - Tan, Zheng Hua

AU - Liu, Chengxi

AU - Guerrero, Josep M.

AU - Vasquez, Juan C.

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KW - Support vector machines

KW - Neural nets

KW - Smart power grids

KW - Learning (artificial intelligence)

KW - Data mining

KW - Distributed power generation

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