An intelligent islanding detection of distribution networks with synchronous machine DG using ensemble learning and canonical methods

Author:

Hussain Arif1,Kim Chul‐Hwan1,Admasie Samuel1

Affiliation:

1. Department of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea

Funder

National Research Foundation of Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference45 articles.

1. Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: A review

2. IEEE Standard Association. IEEE Std. 1547–2018: Standard for Interconnection and Interoperability of Distributed Energy Resources with Associated Electric Power Systems Interfaces (2018).https://ieeexplore.ieee.org/abstract/document/8332112

3. Hudson R.M. et al.: Implementation and testing of antiislanding algorithms for IEEE 929–2000 compliance of single‐phase photovoltaic inverters. In:Conference Record of the 29th IEEE Photovoltaic Specialists Conference pp.1414–1419.IEEE Piscataway NJ(2002)

4. Distributed resources standards

5. Figueira H.H. et al.: Brazilian grid‐connected photovoltaic inverters standards: A comparison with IEC and IEEE. In:2015 IEEE 24th International Symposium on Industrial Electronics (ISIE) pp.1104–1109.IEEE Piscataway NJ(2015)

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