Avaliação do impacto econômico da conexão de veículos elétricos e da geração eólica em redes inteligentes de energia
This master dissertation presents a power management tool of a power system operating in a Smart Grid that contains Electric Vehicles inserted as loads and Wind Power Generation. The optimization technique used was Simulated Annealing, in order to minimize the total energy cost of the network bei...
| Autor principal: | VIEGAS, Marcel Augusto Alvarenga |
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| Grau: | Dissertação |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Pará
2018
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.ufpa.br/jspui/handle/2011/10011 |
| Resumo: |
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This master dissertation presents a power management tool of a power system
operating in a Smart Grid that contains Electric Vehicles inserted as loads and Wind
Power Generation. The optimization technique used was Simulated Annealing, in order
to minimize the total energy cost of the network being studied. Three charging strategies
were adopted: Peak Charging, Off-peak Charging and Smart Charging besides Demand
Side Management techniques. In addition to the charging process will also be studied the
Discharging of the battery electric vehicles, preferably at the peak of the load curve, as
well as the possibility of supplying grid power through the wind farm to supply both loads
in the topology of the system as for the loads of electric vehicles inserted through the
creation of a charging/ discharging station. The system used is the IEEE - 39 bus New
England power system. The results proved the effectiveness of the proposed method and
the importance of considering besides distribution as well as generation and transmission
in studies of planning, expansion, and operation of Smart Grids that contain Electric
Vehicles and Wind Power Generation. |