Review of islanding detection schemes for utility interactive solar photovoltaic systems

Gupta, Nikita; Dogra, Rahul; Garg, Rachana; Kumar, Prashant

doi:10.1080/15435075.2021.1941048

Cited by 22 publications

(3 citation statements)

References 41 publications

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“…Before DG integration, the protection equipment should be selected by checking the short circuit resistance capacity and power transmission distances of lines and busbars through short circuit analyses [40]. Besides, islanding as the result of short circuits should be managed by controlling the safety of life and the system against the hazards in cases of controlled islanding [41,42]. DG causes flickers and harmonics during power generation and distribution using renewable energy sources.…”

Section: Main Challenges Associated With Integrating Res Into Dgmentioning

confidence: 99%

A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

Tercan,

Demirci,

Unutmaz

et al. 2023

IET Renewable Power Gen

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Distributed generation (DG) has a key role in enlarging the implementation of renewable energy resources (RES). However, the intermittent and uncontrollable nature of RES can lead to several severe power quality‐related issues. Therefore, many efforts have been made to overcome these issues by optimizing DG sizes and locations. Hence, optimal DG allocation (ODGA) is significant for DG performance and provides advantages to the power system, such as improved power quality, voltage stability, reliability, and profitability. This study reviews recent ODGA studies eliminating the main DG integration problems. Often used ODGA methods have been categorized, and the main differences have been discussed, giving the details of features of optimization methods such as convergence performance and computational burden. A deep analysis for categorizing the objectives of ODGA has been done. In addition, optimization methods applied in ODGA studies have been presented by comparing the superiorities of algorithms and validated test network models. The objectives and significant findings of the ODGA applications are summarized with the advantages and disadvantages. It can be concluded that ODGA has a critical role in RES integration on the DG side and in reducing carbon emissions. This paper leads and provides a perspective for researchers working on recent ODGA methods.

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Section: Main Challenges Associated With Integrating Res Into Dgmentioning

confidence: 99%

A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

Tercan,

Demirci,

Unutmaz

et al. 2023

IET Renewable Power Gen

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“…A large group of publications contains discussions on renewable energy sources (RES) and their cooperation with a power system [25][26][27][28][29]. Energy produced by wind and PV farms is transferred to distribution grids [30], while there can be adverse phenomena that reduce the reliability of a power system as a whole.…”

Section: Introductionmentioning

confidence: 99%

Method for Assessing Reliability of the Power Supply System for Electronic Security Systems of Intelligent Buildings Taking Into Account External Natural Interference

Rosiński,

Paś,

Białek

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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The article presents issues related to the reliability of power supply for electronic security devices in intelligent buildings. These systems function under varied environmental conditions and are exposed to external or internal natural and artificial interference; lightning, in particular. The authors conducted actual experimental tests of two surge arresters that are used to protect against a lightning impulse. As a result of conducted tests, followed by reliability and operational modelling, it was concluded that their use in internal connection structures increased the probability of a system staying in a state of full fitness. All of the deliberations included in the article enabled developing a new method for assessing the power supply continuity in electronic security systems of intelligent buildings, taking into account external natural interference. This method can also be applied to assess the power supply continuity in other electronic systems and devices.

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“…O ilhamento não intencional ocorre quando uma parte da rede, contendo cargas e GD, permanece energizada, porém isolada eletricamente da rede de distribuição, representando um dos problemas mais graves na geração distribuída, pois a concessionária não tem controle sobre tensão e frequência de a área ilhada (Gupta et al 2021). Segundo Wang et al (2015) e Kolli et al (2020), as principais implicações do ilhamento não intencional são: − equipes de manutenção estão em risco devido a áreas que permanecem energizadas sem o conhecimento da concessionária;…”

Section: Introductionunclassified

Metodologia de Treinamento de Redes Neurais Artificiais para Detecção de Ilhamento de Geradores Distribuídos Fotovoltaicos

Buscariolli

Santos

Pavani

2022

Proceedings IX Simpósio Brasileiro De Sistemas Elétricos

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The anti-islanding protection of distributed generators is typically performed by conventional protection schemes that monitor the magnitude and frequency of voltage signals. However, one of the main issues to setting these protection schemes is to identify and differentiate the magnitude and frequency variations of an islanding event from other disturbances that may occur along the system, such as voltage sag or swell. By using an Artificial Neural Network (ANN) based algorithm, it is possible to recognize existent patterns on the distributed generator voltage waveform, which makes possible to obtain an accurate response about islanding events. However, the ANN training process involves important issues such as the definition of the ANN architecture, the data window length, the sampling rate, and the selection of a representative training set for the analyzed power grid. In this context, this paper discusses the fundamental aspects for training an ANN used for islanding detection of photovoltaic distributed generators.Resumo: A proteção anti-ilhamento de geradores distribuídos é tipicamente realizada por esquemas de proteção convencionais que monitoram a magnitude e a frequência dos sinais de tensão. Uma das principais questões para definir esses esquemas de proteção é identificar e diferenciar as variações de magnitude e frequência de um evento de ilhamento de outros distúrbios que podem ocorrer no sistema, como aumento e diminuição de tensão. Utilizando um algoritmo baseado em Rede Neural Artificial (RNA), é possível reconhecer padrões existentes na forma de onda de tensão analisada, obtendo uma resposta precisa sobre eventos de ilhamento. No entanto, o processo de treinamento da RNA envolve questões importantes como definição da arquitetura da RNA, tamanho da janela de dados, taxa de amostragem e seleção de um conjunto de treinamento representativo do sistema analisado. Nesse contexto, este artigo discute os aspectos fundamentais para o treinamento de uma RNA utilizada para detecção de ilhamento de geradores distribuídos fotovoltaicos.

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Review of islanding detection schemes for utility interactive solar photovoltaic systems

Cited by 22 publications

References 41 publications

A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

Method for Assessing Reliability of the Power Supply System for Electronic Security Systems of Intelligent Buildings Taking Into Account External Natural Interference

Metodologia de Treinamento de Redes Neurais Artificiais para Detecção de Ilhamento de Geradores Distribuídos Fotovoltaicos

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