PPGENE PÓS-GRADUAÇÃO EM ENERGIA FUNDAÇÃO UNIVERSIDADE FEDERAL DO ABC Phone: Not available http://propg.ufabc.edu.br/ppgene

Banca de QUALIFICAÇÃO: PRISCILA ROSSONI

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : PRISCILA ROSSONI
DATA : 11/03/2020
HORA: 14:00
LOCAL: sala 302A, 3º andar, Bloco B, Campus SA da Fundação Universidade Federal do ABC, localizada na Avenida dos Estados, 5001, Santa Terezinha, Santo André, SP
TÍTULO:

HYBRID BIOINSPIRED OPTIMIZATION ALGORITHM FOR DISTRIBUTION NETWORKS WITH PHOTOVOLTAIC GENERATION


PÁGINAS: 68
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
ESPECIALIDADE: Transmissão da Energia Elétrica, Distribuição da Energia Elétrica
RESUMO:

The increase in the Distributed Deneration connection (DG), combined with the introduction of the concept of smart grids and the growing search for minimizing technical losses in electrical power systems (EPS), opens up a range of opportunities that should result in a more efficient operation and flexible power systems. Among the DG sources, the photovoltaic generation (PG) deserves mention, which, in recent years, has shown exponential growth, with prospects of maintaining this trajectory. To inject the power supplied by the PG into the network, inverters are used, which, depending on the technology used, can inject both active and reactive power, improving the power fator and controlling the voltage profile of the network. In this project a hybrid approach is developed, which associates an exact technique with a bioinspired metaheuristic technique, to optimize the distribution network with GF penetration. This optimization considers the possibility of network reconfiguration (RDS) and the adjustment of the inverters in relation to the supply of reactive power. The solution to the problem points to the grid configuration and the settings of the inverters that minimize the active power losses of the grid. The proposed model was implemented on the AMPL platform and resolved using the KNITRO software. The tests were performed using the system of 33 bus available in the literature and the results show the quality and validity of the proposed model with the assertiveness of the metaheuristic.


MEMBROS DA BANCA:
Presidente - Interno ao Programa - 1671333 - EDMARCIO ANTONIO BELATI
Membro Titular - Examinador(a) Interno ao Programa - 1669195 - AHDA PIONKOSKI GRILO PAVANI
Membro Titular - Examinador(a) Interno ao Programa - 1544340 - PATRICIA TEIXEIRA LEITE ASANO
Membro Suplente - Examinador(a) Externo ao Programa - 3066952 - EDUARDO WERLEY SILVA DOS ANGELOS
Membro Suplente - Examinador(a) Externo ao Programa - 2236209 - RICARDO DA SILVA BENEDITO
Notícia cadastrada em: 27/02/2020 14:51
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