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


Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DATE: 15/12/2022
TIME: 14:00
LOCAL: https://conferenciaweb.rnp.br/events/banca-de-doutorado-energia-ufabc-priscila-rossoni

Bio-Inspired Hybrid Algorithm for Optimization of Distribution Networks with Photovoltaic Generation

BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
SPECIALTY: Transmissão da Energia Elétrica, Distribuição da Energia Elétrica

This work presents a hybrid approach, which combines an exact mathematical programming technique with a bioinspired metaheuristic technique, to optimize the distribution network with penetration of photovoltaic (PV) generation. The approach considers the Distribution Network Reconfiguration (DNR) and the adjustment of the power factor of the PV inverters, aiming at minimizing the losses in the network. The methodology uses the particle swarm optimization (PSO) PSO metaheuristic algorithm for DNR, in which the decision variables are discrete, and an optimal power flow (OPF) to adjust the power factor of the PV inverters and maintain the operating limits of the network, this set being formed by continuous variables. The hybrid approach provides good performance as it takes advantage of the best features of both techniques. The hybrid approach was compared with two proposals: exact technique, which uses an OPF associated with the Branch and Bound technique; and approximate technique, which uses the PSO meta-heuristic. The methodologies were implemented using the AMPL® a mathematical programming language and solved using the KNITRO® solver. The tests were carried out on a 33-bus distribution system with the addition of PV generation. The approach considers the variations in the powers generated by the photovoltaic systems and the variations in the loads throughout the day. The results indicate that the combination of photovoltaic inverter control and DNR can reduce active power losses, with a reduction of more than 37% being obtained in some cases.

Presidente - Interno ao Programa - 1671333 - EDMARCIO ANTONIO BELATI
Membro Titular - Examinador(a) Interno ao Programa - 1669195 - AHDA PIONKOSKI GRILO PAVANI
Membro Titular - Examinador(a) Externo ao Programa - 1671336 - HAROLDO DE FARIA JUNIOR
Membro Titular - Examinador(a) Externo à Instituição - CLAUDIONOR FRANCISCO DO NASCIMENTO - UFSCAR
Membro Titular - Examinador(a) Externo à Instituição - EDUARDO WERLEY SILVA DOS ANGELOS
Membro Suplente - Examinador(a) Interno ao Programa - 1544340 - PATRICIA TEIXEIRA LEITE ASANO
Membro Suplente - Examinador(a) Externo ao Programa - 1544371 - JORGE TOMIOKA
Notícia cadastrada em: 09/11/2022 16:45
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