Service restoration for distribution network with DGs based on stochastic response surface method

Wang, Feng; Xiao, Xuanyi; Sun, Qiuqin; Chen, Chun; Chen, She; Fan, Jingmin

doi:10.1016/j.ijepes.2018.12.015

Cited by 23 publications

(15 citation statements)

References 30 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).…”

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

“…The shape of the rotor slots of the EV induction motor was optimized by Jeon et al (2011), in which the authors reported that the dynamic characteristics of the machine obtained through the application of RSM are most suited to EV. RSM has been reported to be effective in voltage stability analysis in power distribution system planning problems (Haesen et al 2009, Wang et al 2019and Ren et al 2016 as well. Two categories of RSMs, viz.…”

Section: Introductionmentioning

confidence: 99%

“…the 2 nd order polynomial and the Kriging method, were applied to evaluate reliability and efficiency in transformer cooling system design optimization (Zhang et al 2018). To manage the vulnerability of sustainable dispersed generators and the burden under fault conditions of the power distribution system, an assistance rebuilding technique dependent on stochastic RSM is proposed in Wang et al (2019).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel methodology for the planning of charging infrastructure in the scenario of high EV penetration

et al. 2022

View full text Add to dashboard Cite

This article presents a novel methodology for distribution network expansion planning (DNEP) considering the inclusion of electric vehicles (EV), especially, electric bus (EB) charging loads. The proposed methodology addresses network congestion through an optimum time of charging, cost optimization, new charging infrastructure, and minimization of losses under a set of technical and physical constraints, which represents practical uncertainties. Along with load flow analysis, selection of the number of ports and technology at the host charging station is obtained through the application of response surface methodology. The proposed methodology provides a coordinated planning for the development of EB charging station infrastructure that takes into account the effects of both the power dispersion framework and transportation framework. The effectiveness of the proposed methodology is investigated by applying it on 69-node IEEE modified distribution test system considering three charging technologies viz. fast charging, ultra-fast charging, and battery swapping. The results of the proposed model are compared with the direct statistical method and it revealed that the right selection of technology for EB charging and the right planning of the charging infrastructure can effectively optimize the cost of EV charging infrastructure and thereby catalyze the decarbonization of the transportation sector.

show abstract

“…Unpredictable interruptions that occur in a distribution system may hinder the task to bring back the power system immediately to its healthy state. Therefore, service restoration by switching operation needs to be done immediately in the loss area to guarantee load demand is met [2][3][4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Power system restoration in distribution network using minimum spanning tree - Kruskal’s algorithm

Mohamad

Zalnidzham

Salim

et al. 2019

IJEECS

View full text Add to dashboard Cite

<span>Events such as natural and manmade interference, line, transformer and feeder outages that occur in electric power distribution system negatively impact the continuity of power supply, thus affecting the power demand supply as well as customer’s satisfaction. In that cases, the restoration of power needs to be carried out immediately in order to guarantee the system’s reliability. The power flow path identification is considered as a difficult task especially in a huge system due to large number of switches. Kruskal’s algorithm is presented in this paper to find the minimum power flow path in a power distribution network. The comparison of performance between presented Kruskal’s algorithm and Binary Particle Swarm Optimization (BPSO) was made in solving a problem regarding network reconfiguration. The proposed load restoration approach is tested on IEEE 33-bus single feeder radial distribution system using MATLAB software. From the results, it is found that the presented Kruskal’s algorithm was able to search for the minimal power flow path that contribute to loss reduction for power restoration after the occurrence of fault.</span>

show abstract

Service restoration for distribution network with DGs based on stochastic response surface method

Cited by 23 publications

References 30 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

A novel methodology for the planning of charging infrastructure in the scenario of high EV penetration

Power system restoration in distribution network using minimum spanning tree - Kruskal’s algorithm

Contact Info

Product

Resources

About