PPGEEL PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA FUNDAÇÃO UNIVERSIDADE FEDERAL DO ABC Phone: Not available http://propg.ufabc.edu.br/ppgeel

Banca de QUALIFICAÇÃO: BYRON ORLANDO PALATE MOYOLEMA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : BYRON ORLANDO PALATE MOYOLEMA
DATA : 31/10/2019
HORA: 14:00
LOCAL: sala 301,3º andar, Bloco B, Campus SA, Av.dos Estados, 5001, Sta.Terezinha,Santo André-SP.
TÍTULO:

ALLOCATION OF AGGREGATORS UNITS IN POWER DISTRIBUTION SYSTEMS WITH PHOTOVOLTAIC GENERATION


PÁGINAS: 70
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
ESPECIALIDADE: Transmissão da Energia Elétrica, Distribuição da Energia Elétrica
RESUMO:

The implementation of a Smart Grid requires an adequate communication infrastructure. In general, this infrastructure is composed of a measurement center, data concentrators and electronic meters installed in consumers. The consumption and generation of the users are recorded in their electronic meters, being transmitted to the data concentrators for their storage and processing. Thus, such concentrators are information gathering devices, connected to several meters, allowing the sending of information to measurement centers, system operators, traders and end consumers. The identification of the locations for the installation of the concentrators ant their communication coverage area will help the power grid operators in the actions of: interruption, power supply recovery, demand management, among other operational functions defined for Smart Grid. In recent years several works have been proposed to define the concentrator sites considering the values of the electric power demand, but without analyzing the unbalance of the electric grid because of the distributed generation installed in the low voltage end users. In order to define the places of installation of data concentrators in low voltage electrical networks with photovoltaic solar generation, this work presents a methodology for allocating data concentrators. The proposed methodology is composed of two phases. In the first phase, the best locations are determined from a Particle Swarm Optimization (PSO) algorithm. In the second part, the aggregation of the electronic meters is performed to the points found in the first step. The proposed methodology can be applied in extensive low-voltage distribution networks, in order to have a greater observability of the electrical system, allowing the flow of information in the communication structure of the Smart Grid. The proposal was applied to find the best installation sites in a low voltage distribution network in Denmark. In this scenario, the implementation of smart grids enables consumers and utilities to efficiently monitor real-time power consumption, reduce power losses and improve power supply quality indicators


MEMBROS DA BANCA:
Presidente - Interno ao Programa - 2286312 - JOEL DAVID MELO TRUJILLO
Membro Titular - Examinador(a) Interno ao Programa - 1671333 - EDMARCIO ANTONIO BELATI
Membro Titular - Examinador(a) Interno ao Programa - 1876380 - THALES SOUSA
Membro Suplente - Examinador(a) Interno ao Programa - 1907748 - ALFEU JOAOZINHO SGUAREZI FILHO
Membro Suplente - Examinador(a) Interno ao Programa - 1545701 - IVAN ROBERTO SANTANA CASELLA
Notícia cadastrada em: 14/10/2019 17:27
SIGAA | UFABC - Núcleo de Tecnologia da Informação - ||||| | Copyright © 2006-2024 - UFRN - sigaa-2.ufabc.int.br.sigaa-2-prod