Load service restoration in active distribution network based on stochastic approach

Riahinia, Shahin; Abbaspour, Ali; Moeini‐Aghtaie, Moein; Khalili, Sajjad

doi:10.1049/iet-gtd.2017.0684

Cited by 19 publications

(13 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Observou-se que muitos trabalhos utilizam sistemas da IEEE ou sistemas da IEEE modificados como Wang et al (2019) que trabalha com a inserção de GD, Prabawa e Choi 2020inserindo GDs e sistemas de armazenamento de energia, e P. , que adotam sistemas de 33 barras. Huang e Taylor 2013 A utilização de sistemas testes reais pode ser bem vista uma vez que aplica os métodos em situações mais condizentes com a realidade e não idealizadas ou, até mesmo, em sistemas que não condizem com a realidade nacional (Goulart et al, 2018;Hsiao e Chien, 2000;Chen, Lin e Tsai, 2002;Riahinia et al, 2018;Shen et al, 2020;Carvalho, Ferreira e Barruncho, 2007;Marques, Delbem e London, 2018;Garcia e França, 2008;Wang e Chiang, 2016;Camillo et al, 2016). No entanto, cabe ressaltar, novamente, que essa escolha costuma dificultar ou até impedir a comparação entre metodologias de resolução, pois majoritariamente os dados de redes reais não estão publicados integralmente.…”

Section: Sistemas-testeunclassified

Restabelecimento de Serviço: uma Revisão Crítica Quanto a Aplicação em Sistemas de Distribuição Brasileiros

Silva

Marchesan

Zonin

et al. 2020

Anais Do Congresso Brasileiro De Automática 2020

View full text Add to dashboard Cite

Este trabalho apresenta uma revisão crítica da literatura referente ao tema de restabelecimento de serviço, analisando a aplicabilidade das metodologias propostas em sistemas de distribuição brasileiros. O artigo destaca a relevância do tema, descreve o problema de reestabelecimento e apresenta a crítica com base nos seguintes tópicos: nível de automação da rede, tempos de atuação e reparo, sistemas de proteção, inserção de geração distribuída e sistemas teste. Por fim, são apresentadas algumas sugestões para trabalhos futuros.

show abstract

Section: Sistemas-testeunclassified

Restabelecimento de Serviço: uma Revisão Crítica Quanto a Aplicação em Sistemas de Distribuição Brasileiros

Silva

Marchesan

Zonin

et al. 2020

Anais Do Congresso Brasileiro De Automática 2020

View full text Add to dashboard Cite

show abstract

“…Some studies have considered the uncertainties in the service restoration. Riahinia et al [9] proposed a new stochastic framework for service restoration problem, and the uncertainties are modelled as some probabilistic scenarios. The dynamic programming technique is applied to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

Unified data‐driven stochastic and robust service restoration method using non‐parametric estimation in distribution networks with soft open points

Chen

Lou

Ding

et al. 2020

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

“…The second stage focuses on the optimization through reconfiguration and optimal DG placement. A dynamic programming based on a stochastic approach [21] was implemented to solve a distribution system restoration (DSR) problem, which positions different technologies of DGs and energy storage systems to improve the performance of the optimal searching. Service restoration under single and multiple faults through an integrated classical spanning tree search strategy was proposed in [22], where the critical loads could be served by the reconfiguration with the reduced number of switching, reduction in power loss, and out-of-service loads.…”

Section: Introductionmentioning

confidence: 99%

Cost-Effective Outage Management in Smart Grid under Single, Multiple, and Critical Fault Conditions through Teaching–Learning Algorithm

Srinivasan

Kim

2020

Energies

View full text Add to dashboard Cite

A distribution system becomes the most essential part of a power system as it links the utility and utility customers. Under abnormal conditions of the system, a definitive goal of the utility is to provide continuous power supply to the customers. This demands a fast restoration process and provision of optimal solutions without violating the power system operational constraints. The main objective of the proposed work is to reduce the service restoration cost (SRC) along with the elimination of the out-of-service loads. In addition, this work concentrates on the minimal usage and finding of optimal locations for additional equipment, such as capacitor placement (CP) and distributed generators (DGs). This paper proposes a two-stage strategy, namely, the service restoration phase and optimization phase. The first phase ensures the restoration of the system from the fault condition, and the second phase identifies the optimal solution with reconfiguration, CP, and DG placement. The optimization phase uses the teaching–learning algorithm (TLA) for optimal restructuring and optimal capacitor and DG placement. The robustness of the algorithm is validated by addressing the test cases under different fault conditions, such as single, multiple, and critical. The effectiveness of the proposed strategy is exhibited with the implementation to IEEE 33-bus radial distribution system (RDS) and 83-bus Taiwan Power Distribution Company (TPDC) System.

show abstract

Load service restoration in active distribution network based on stochastic approach

Cited by 19 publications

References 24 publications

Restabelecimento de Serviço: uma Revisão Crítica Quanto a Aplicação em Sistemas de Distribuição Brasileiros

Restabelecimento de Serviço: uma Revisão Crítica Quanto a Aplicação em Sistemas de Distribuição Brasileiros

Unified data‐driven stochastic and robust service restoration method using non‐parametric estimation in distribution networks with soft open points

Cost-Effective Outage Management in Smart Grid under Single, Multiple, and Critical Fault Conditions through Teaching–Learning Algorithm

Contact Info

Product

Resources

About