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Modelos de Energia Transitiva Para a ParticipaĆ§Ć£o Ativa de Sistemas de Armazenamento de Energia
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Abstract(s)
Este trabalho explora o uso e a aplicaĆ§Ć£o de modelos de negociaĆ§Ć£o de energia peer-to-peer
dentro de microrredes residenciais, com foco em comunidades constituĆdas por prossumidores
(consumidores que tambƩm produzem energia) e consumidores tradicionais. A pesquisa
aborda a crescente demanda por sistemas de energia descentralizados com produĆ§Ć£o
renovĆ”vel, especialmente por meio de sistemas fotovoltaicos prĆ³ximos aos centros de consumo,
otimizando o transporte de energia e reduzindo a sobrecarga nas linhas de transmissĆ£o durante
horĆ”rios de ponta, alĆ©m de mitigar problemas de fluxo de potĆŖncia na rede.
Para fins de simulaĆ§Ć£o, foi utilizada uma metodologia baseada em algoritmos heurĆsticos, que
replicam o comportamento do mercado sob diferentes condiƧƵes de demanda e oferta nos
mercados peer-to-peer. O estudo investiga quatro cenƔrios, variando a quantidade de
prossumidores e a presenƧa de baterias de armazenamento, que contribuem para estabilizar a
microrrede ao armazenar o excedente de produĆ§Ć£o para uso posterior.
Os resultados mostraram que, em um dos mercados analisados, onde prossumidores e
consumidores negociam diretamente entre si sem intermediƔrios, o consumo de energia da
rede externa caiu de 77 kWh para 8,34 kWh, uma reduĆ§Ć£o de aproximadamente 89%, ao
combinar trocas peer-to-peer e sistemas de armazenamento. O trabalho tambƩm aborda
brevemente os desafios regulatĆ³rios e tecnolĆ³gicos existentes, que precisam ser discutidos
para que estes modelos de mercado apresentados, cresƧam de maneira eficiente.
This work explores the use and application of peer-to-peer energy trading models within residential microgrids, focusing on communities composed of prosumers (consumers who also produce energy) and traditional consumers. The research addresses the increasing demand for decentralized energy systems with renewable production, especially through photovoltaic systems near consumption centers, optimizing energy transportation and reducing overload on transmission lines during peak hours, as well as mitigating power flow issues in the grid. For simulation purposes, a methodology based on heuristic algorithms was used, replicating market behavior under different demand and supply conditions in peer-to-peer markets. The study investigates four scenarios, varying the number of prosumers and the presence of storage batteries, which help stabilize the microgrid by storing excess production for later use. The results showed that, in one of the markets analyzed, where prosumers and consumers trade directly with each other without intermediaries, the network's external energy consumption decreased from 77 kWh to 8.34 kWh, a reduction of approximately 89%, when combining peer-to-peer exchanges and storage systems. The work also briefly addresses the existing regulatory and technological challenges that need to be discussed for these presented market models to grow efficiently.
This work explores the use and application of peer-to-peer energy trading models within residential microgrids, focusing on communities composed of prosumers (consumers who also produce energy) and traditional consumers. The research addresses the increasing demand for decentralized energy systems with renewable production, especially through photovoltaic systems near consumption centers, optimizing energy transportation and reducing overload on transmission lines during peak hours, as well as mitigating power flow issues in the grid. For simulation purposes, a methodology based on heuristic algorithms was used, replicating market behavior under different demand and supply conditions in peer-to-peer markets. The study investigates four scenarios, varying the number of prosumers and the presence of storage batteries, which help stabilize the microgrid by storing excess production for later use. The results showed that, in one of the markets analyzed, where prosumers and consumers trade directly with each other without intermediaries, the network's external energy consumption decreased from 77 kWh to 8.34 kWh, a reduction of approximately 89%, when combining peer-to-peer exchanges and storage systems. The work also briefly addresses the existing regulatory and technological challenges that need to be discussed for these presented market models to grow efficiently.
Description
Keywords
P2P Energy Market Prosumers Residential Microgrids Energy Storage Renewable Energy Mercado de energia P2P Prossumidores Microrredes residenciais Armazenamento de energia Energia renovƔvel
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Without CC licence