A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids

The modern distribution system widely uses renewable energy sources (RESs) as a distributed generation that introduces some problems like unintentional islanding, protection concerns, and reverse power flow. Islanding or fault occurrences must be detected and treated to ensure system stability. The...

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Principais autores: Paiva, Sâmara Cavalcante, Ribeiro, Ricardo Lúcio de Araujo, Alves, Denis Keuton, Costa, Flávio Bezerra, Rocha, Thiago de Oliveira Alves
Formato: article
Idioma:English
Publicado em: Elsevier
Assuntos:
Continuous wavelet transform
Generation distributed
Islanding detection
Microgrids
Endereço do item:https://repositorio.ufrn.br/jspui/handle/123456789/29802
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spelling ri-123456789-298022023-02-07T19:51:47Z A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids Paiva, Sâmara Cavalcante Ribeiro, Ricardo Lúcio de Araujo Alves, Denis Keuton Costa, Flávio Bezerra Rocha, Thiago de Oliveira Alves Continuous wavelet transform Generation distributed Islanding detection Microgrids The modern distribution system widely uses renewable energy sources (RESs) as a distributed generation that introduces some problems like unintentional islanding, protection concerns, and reverse power flow. Islanding or fault occurrences must be detected and treated to ensure system stability. The literature presents several islanding detection methods classified as passive (PDM), active (ADM), or hybrid detection methods (HDM). HDMs present advantages of both PDM and ADM methods and overcome their inherent drawbacks. This paper proposes a modification on the CWT for accomplishing its real-time implementation (RT-CWT), and the use of its nonstationary signal analysis for implementing a wavelet-based hybrid islanding detection scheme (WB-HIDS). The evaluation of some power quality-related indices: power grid voltage, frequency deviation, grid impedance, and power angle enables the detection of islanding condition or fault occurrence. The simultaneous use of various indices mitigates the non-detection zone related to the PDM. Also, the use of a transient detection scheme for triggering the signal injection implementation minimizes undesired disturbances introduced by ADM schemes. Experimental results obtained from an ac microgrid laboratory setup validate the proposed solution and demonstrate its effectiveness 2020-08-11T19:45:55Z 2020-08-11T19:45:55Z 2020-03-18 article PAIVA, Sâmara Cavalcante; RIBEIRO, Ricardo Lúcio de Araujo; ALVES, Denis Keuton; COSTA, Flávio Bezerra; ROCHA, Thiago de Oliveira Alves. A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids. International Journal of Electrical Power & Energy Systems, [s.l.], v. 121, p. 106032, out. 2020. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0142061519340049?via%3Dihub. Acesso em: 08 ago. 2020. https://doi.org/10.1016/j.ijepes.2020.106032 0142-0615 https://repositorio.ufrn.br/jspui/handle/123456789/29802 en Elsevier
institution Repositório Institucional
collection RI - UFRN
language English
topic Continuous wavelet transform
Generation distributed
Islanding detection
Microgrids
spellingShingle Continuous wavelet transform
Generation distributed
Islanding detection
Microgrids
Paiva, Sâmara Cavalcante
Ribeiro, Ricardo Lúcio de Araujo
Alves, Denis Keuton
Costa, Flávio Bezerra
Rocha, Thiago de Oliveira Alves
A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids
description The modern distribution system widely uses renewable energy sources (RESs) as a distributed generation that introduces some problems like unintentional islanding, protection concerns, and reverse power flow. Islanding or fault occurrences must be detected and treated to ensure system stability. The literature presents several islanding detection methods classified as passive (PDM), active (ADM), or hybrid detection methods (HDM). HDMs present advantages of both PDM and ADM methods and overcome their inherent drawbacks. This paper proposes a modification on the CWT for accomplishing its real-time implementation (RT-CWT), and the use of its nonstationary signal analysis for implementing a wavelet-based hybrid islanding detection scheme (WB-HIDS). The evaluation of some power quality-related indices: power grid voltage, frequency deviation, grid impedance, and power angle enables the detection of islanding condition or fault occurrence. The simultaneous use of various indices mitigates the non-detection zone related to the PDM. Also, the use of a transient detection scheme for triggering the signal injection implementation minimizes undesired disturbances introduced by ADM schemes. Experimental results obtained from an ac microgrid laboratory setup validate the proposed solution and demonstrate its effectiveness
format article
author Paiva, Sâmara Cavalcante
Ribeiro, Ricardo Lúcio de Araujo
Alves, Denis Keuton
Costa, Flávio Bezerra
Rocha, Thiago de Oliveira Alves
author_facet Paiva, Sâmara Cavalcante
Ribeiro, Ricardo Lúcio de Araujo
Alves, Denis Keuton
Costa, Flávio Bezerra
Rocha, Thiago de Oliveira Alves
author_sort Paiva, Sâmara Cavalcante
title A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids
title_short A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids
title_full A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids
title_fullStr A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids
title_full_unstemmed A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids
title_sort wavelet-based hybrid islanding detection system applied for distributed generators interconnected to ac microgrids
publisher Elsevier
publishDate 2020
url https://repositorio.ufrn.br/jspui/handle/123456789/29802
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