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Banca de DEFESA: LINDENBERG ISAC DA SILVA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : LINDENBERG ISAC DA SILVA
DATA : 01/09/2020
HORA: 14:00
LOCAL: Santo André
TÍTULO:

Real-time electrical distribution systems reconfiguration based on graph theory combined with adapted optimal power flow.


PÁGINAS: 147
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
ESPECIALIDADE: Transmissão da Energia Elétrica, Distribuição da Energia Elétrica
RESUMO:

Due to the irreversible depletion of non-renewable energy sources, such as fossil and nuclear fuels, as well as the damage they cause to the environment, renewable sources should be more efficiently used. Electricity consumption is uninterrupted and even a small reduction in losses promotes a significant amount of savings. In electrical distribution systems, reconfiguration is an optimization technique that aims, among other objectives, to minimize active power losses. With the expansion of intelligent electrical networks (smart grids) and the increasing introduction of remote-controlled equipment, it is desirable to perform the reconfiguration in real-time. Among the optimization techniques available, reconfiguration is the most economical because it does not require expenses with new equipment. However, when trying to reconfigure arises an inconvenient phenomenon of combinatorial explosion due to the characteristics of the problem. Several metaheuristics to reduce the search space do not have the capacity to provide a real-time response, being more suitable for planning. Moreover, the uncertainty inherent in probabilistic methods prevents the guarantee of obtaining the best solution. In this work, a real-time reconfiguration method based on Graph Theory is exposed. Due to the deterministic characteristic with conservative results, but without exhaustive search, the disadvantage of random statistical fluctuations inherent to probabilistic methods was eliminated. Additionally, in addition to minimizing active power losses, it is possible to restore operation in the event of faults. Computational preprocessing from an adapted optimal power flow directs the analysis of the topology graph generating tree to the optimized solution. The algorithm was tested in systems containing 7, 21, 37, 74, 96, 114 and 156 switches, obtaining the best solution available in the scientific literature, with computational times of tens of milliseconds.


MEMBROS DA BANCA:
Presidente - Interno ao Programa - 1671333 - EDMARCIO ANTONIO BELATI
Membro Titular - Examinador(a) Interno ao Programa - 2286312 - JOEL DAVID MELO TRUJILLO
Membro Titular - Examinador(a) Externo ao Programa - 2236209 - RICARDO DA SILVA BENEDITO
Membro Titular - Examinador(a) Externo à Instituição - IVO CHAVES DA SILVA JUNIOR - UFJF
Membro Titular - Examinador(a) Externo à Instituição - RUBÉN AUGUSTO ROMERO LÁZARO - UNESP
Membro Suplente - Examinador(a) Interno ao Programa - 1545354 - RICARDO CANELOI DOS SANTOS
Notícia cadastrada em: 31/07/2020 00:29
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