Intelligent Smart Grid Research Articles

Gestão da Informação e o Sistema Smart Grid: Um Estudo de Caso da UFRN

A eficiência energética e a confiabilidade na distribuição de energia elétrica são tendências de foco nesse tipo de serviço. O presente trabalho defende que uso de tecnologia de informação e automação em redes elétricas a fim de torná-las inteligentes (Smart Grid) melhora o processo de tomada de decisão. A metodologia adotada foi uma análise conceitual a partir da hierarquia de valor dos sistemas de informação, utilizando um estudo comparativo desse tipo de tecnologia com a usada na Universidade Federal do Rio Grande do Norte. Conclui que a automação de processos aumenta a eficiência do processo, bem como a eficiência da tomada decisão, mas exige uma estratégia voltada para a gestão do conhecimento.

A multi-agent based approach for intelligent smart grid management

The spread and globalization of distributed generation (DG) in recent years has should highly influence the changes that occur in Electricity Markets (EMs). DG has brought a large number of new players to take action in the EMs, therefore increasing the complexity of these markets. Simulation based on multi-agent systems appears as a good way of analyzing players' behavior and interactions, especially in a coalition perspective, and the effects these players have on the markets. MASCEM – Multi-Agent System for Competitive Electricity Markets was created to permit the study of the market operation with several different players and market mechanisms. MASGriP – Multi-Agent Smart Grid Platform is being developed to facilitate the simulation of micro grid (MG) and smart grid (SG) concepts with multiple different scenarios. This paper presents an intelligent management method for MG and SG. The simulation of different methods of control provides an advantage in comparing different possible approaches to respond to market events. Players utilize electric vehicles' batteries and participate in Demand Response (DR) contracts, taking advantage on the best opportunities brought by the use of all resources, to improve their actions in response to MG and/or SG requests.