Service Restoration of Distribution Networks Considering Switching Operation Costs and Actual Status of the Switching Equipment

Dimitrijevic, Srdjan; Rajaković, Nikola

doi:10.1109/tsg.2014.2385309

Cited by 48 publications

(33 citation statements)

References 28 publications

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“…Therefore, the SR problem can be considered as a problem of finding spanning trees that represent possible radial structures of the network and satisfy operating constraints. Different techniques have been proposed in [22]- [26] to generate spanning trees. A cut set theory based spanning tree search algorithm was proposed in [22], in which a new tree can be generated by operating a pair of switches (a normally closed switch and a normally open switch) and the power flow calculation is conducted to evaluate all newly formed trees.…”

Section: ) Graph Theorymentioning

confidence: 99%

“…After evaluating all "interested trees", the best full restoration plan can be reached. In [26], instead of substations, the nodes that are in energized areas and connect de-energized areas are considered as roots of trees, which means that the process of restoring faulted areas can be treated as a process of identifying multiple spanning trees.…”

Section: ) Graph Theorymentioning

confidence: 99%

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Review of Service Restoration Methods in Distribution Networks

Shen

Huang

et al. 2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Service restoration (SR) is one of the most important strategies to improve the resilience of the modern distribution network. After the fault location is identified and isolated, a proper SR plan should be determined to resupply out-of-service areas. This paper reviews the existing methods for SR in distribution networks, which can be categorized into two types, namely centralized methods and decentralized methods, according to their implementation. These methods utilize one or more techniques to derive the SR plan. The used techniques consist of expert systems, heuristic algorithms, meta-heuristic algorithms, graph theory, multi-agent systems and mathematical programming.

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Section: ) Graph Theorymentioning

confidence: 99%

Section: ) Graph Theorymentioning

confidence: 99%

Review of Service Restoration Methods in Distribution Networks

Shen

Huang

et al. 2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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“…On the other hand, the switching cost is considered to be infinity in this study, similar to the previous ones. It is preferred that multiple instances of energization and de‐energization of distribution feeders are avoided during the restoration process . Hence, it is assumed that once a feeder is energized, it will remain connected for the rest of the restoration period.…”

Section: Deterministic Load Restoration Problemmentioning

confidence: 99%

“…It is preferred that multiple instances of energization and de-energization of distribution feeders are avoided during the restoration process. 24 Hence, it is assumed that once a feeder is energized, it will remain connected for the rest of the restoration period. This constraint is modeled in 8:…”

Section: Constraintsmentioning

confidence: 99%

A dynamic programing‐based framework for distribution system restoration considering load uncertainties

Riahinia

Abbaspour

Farzin

et al. 2017

Int Trans Electr Energ Syst

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Summary This paper presents a stochastic framework to properly involve the uncertainties associated with demand in distribution system restoration (DSR) problem. To reach this goal, these uncertainties are represented as probabilistic scenarios corresponding to different load levels. Subsequently, the associated stochastic optimization problem is formulated such that it can be readily solved using dynamic programming approach. Moreover, a clustering technique is presented that enables the dynamic programming approach to find near‐optimal solutions for the stochastic load restoration problem with reasonable computational effort. The proposed framework is implemented on a real‐world test system, and its efficiency and effectiveness are demonstrated through extensive case studies. The results suggest that incorporation of load uncertainties in the DSR problem would significantly affect the optimal sequence of feeder restoration, and therefore, appropriate treatment of load uncertainties in DSR problem is essential.

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“…proposto o uso da reconfiguração para reduzir perdas técnicas. Apesar de não tratar do problema de restabelecimento diretamente, é um dos pioneiros no uso da técnica de reconfiguração de redes para tratamento de problemas de SDs, que viria a ser aplicada para o restabelecimento em vários trabalhos que tiram proveito do desenvolvimento computacional observado desde então (NGUYEN et al, 2012;SANCHES, 2013;SANCHES et al, 2014;PRADO et al, 2014;ROMERO et al, 2015;DIMITRIJEVIC et al, 2015).…”

Section: Justificativaunclassified

Restabelecimento de energia com busca local e corte de cargas

Fernandes¹

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Aos meus pais, Marcus e Beatriz, meus irmãos, Marcus Jr. e João Augusto, e toda minha família pelo apoio e compreensão todos esses anos. Aos meus irmãozinhos, Joe, a quem dedico este trabalho, Zora, Zelda e Jack por tantos anos de diversão. A Ebony por todo o seu amor e apoio que me fazem tão feliz. A todos os meus amigos que me acompanharam e incentivaram a seguir os estudos. Aos professores João Bosco, Madeleine e Virgílio, que tanto contribuíram em minha formação. A todos os demais professores e colegas da Universidade de São Paulo e da Universidade Federal do Triângulo Mineiro que contribuíram na realização deste trabalho.

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Service Restoration of Distribution Networks Considering Switching Operation Costs and Actual Status of the Switching Equipment

Cited by 48 publications

References 28 publications

Review of Service Restoration Methods in Distribution Networks

Review of Service Restoration Methods in Distribution Networks

A dynamic programing‐based framework for distribution system restoration considering load uncertainties

Restabelecimento de energia com busca local e corte de cargas

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