Artificial intelligence in diagnosis and supply restoration for a distribution network

Teo, C.Y.; Gooi, Hoay Beng

doi:10.1049/ip-gtd:19982091

Cited by 14 publications

(5 citation statements)

References 3 publications

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“…On the contrary, the traveling wave method was affected by the presence of laterals and load taps [62]. Artificial intelligent based methods such as an artificial neural network (ANN), Fuzzy Logic (FL), Expert System (ES), and hybrid method were discussed in [69][70][71].…”

Section: Fdir Algorithms Based On Masmentioning

confidence: 99%

A review: Smart Distribution Grid Management using Agents

Esmail¹,

Elsadd

Elkalashy

et al. 2020

Wseas Transactions on Systems

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This paper focuses on the main features of the smart distribution grid (grid management using agents). The fault management is consisting of three stages including faulted section identification, faulted section isolation, and restoration. The probable control strategies utilized in the smart grid are either centralized, decentralized, or autonomous control. Multi-Agent System (MAS) based model uses both centralized and decentralized strategies. The fault management process is usually carried out based on MAS. A literature survey on fault management control schemes is investigated. Furthermore, the reliability is estimated for both centralized, decentralized, autonomous, and modified centralized control strategies. This paper presents reliability modeling and analysis of all considered control strategies. In this paper, comprehensive detailed reliability models of considered control strategies are developed. Using this equivalent reliability model, various reliability indices are calculated.

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Section: Fdir Algorithms Based On Masmentioning

confidence: 99%

A review: Smart Distribution Grid Management using Agents

Esmail¹,

Elsadd

Elkalashy

et al. 2020

Wseas Transactions on Systems

View full text Add to dashboard Cite

show abstract

“…Teo and Gooi [79] presented the development of a PC-based integrated system, to illustrate the application of AI in the fault diagnosis and supply restoration for an interconnected distribution network. The intelligent process utilized the post-fault network status, a list of the tripped breakers, main protection alarm, and the conventional event log.…”

Section: Artificial Intelligence (Ai) [76-79]mentioning

confidence: 99%

Restoration of power network - a bibliographic survey

Sudhakar

Srinivas

2010

Euro. Trans. Electr. Power

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SUMMARYWith the fast-paced changing technologies in the power industry, new power references addressing new technologies are coming to the market. So there is an urgent need to keep track of international experiences and activities taking place in the field of modern power system restoration problem. This paper gives a bibliographic survey, mathematical formulations, and general background of research and developments in the field of restoration problem for past 35 years, based on more than 150 published articles. The collected literature has been divided into many sections, so that new researchers do not face any difficulty in carrying out research in the area of next-generation restoration problem under any environment.

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“…Por outro lado, os sistemas de distribuição não são tão bem monitorados. Em muitos sistemas de distribuição existentes, não há a disponibilidade de registradores de seqüência de eventos e tomadas de tempos precisas sobre a operação de relés e disjuntores (Teo & Gooi, 1998). A monitoração destes sistemas geralmente se restringe a relés e disjuntores até a saída de baixa tensão das subestações.…”

Section: Diagnóstico De Faltas Em Siste-mas De Distribuição: Uma Brevunclassified

Diagnóstico de faltas em sistemas de potência: definição do problema e abordagens via inteligência artificial

Cardoso

Rolim

Zurn

2004

Sba Controle & Automação

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O constante aumento na demanda, sem o correspondente aumento na capacidade de geração e transmissão de energia elétrica, tem levado os sistemas de potência a operarem cada vez mais próximos dos seus limites. Este fato torna imprescindível o uso de ferramentas de apoio à operação, capazes de aumentar a confiabilidade do sistema, reduzindo o número e/ou duração de paradas não programadas das instalações. Na tentativa de reduzir a duração das interrupções, têm sido publicados trabalhos envolvendo ferramentas desenvolvidas para uso na operação em tempo real, com a finalidade de dar apoio ao diagnóstico de faltas. Tais ferramentas seriam empregadas após contingências com desligamentos definitivos, antes de dar início ao processo de recomposição da rede. Este artigo discute aspectos importantes do diagnóstico de faltas e as técnicas mais utilizadas para modelar e tratar este problema.
Due to the continuous increase in energy demand, without the corresponding investment in generation and transmission capacity, power systems have been operating close to their limits. Thus, the use of tools for supporting the operation is essential in order to increase reliability, reducing the number and/or duration of non-programmable interruptions, optimizing the use of assets. Aiming to reduce the duration of interruptions, several research works have been published describing tools developed to support the fault diagnosis task. These tools would be used during real time operation, after contingencies with definitive interruptions before starting the restoration process. This paper discusses important aspects of the fault diagnosis problem and the techniques more frequently employed to model and tackle this problem

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Artificial intelligence in diagnosis and supply restoration for a distribution network

Cited by 14 publications

References 3 publications

A review: Smart Distribution Grid Management using Agents

A review: Smart Distribution Grid Management using Agents

Restoration of power network - a bibliographic survey

Diagnóstico de faltas em sistemas de potência: definição do problema e abordagens via inteligência artificial

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