Abstract
The intelligent management systems of the end consumers are endowed with advanced functions being one of them the interaction with external entities through the automatic participation in demand response programs. The development of the intelligent management systems is to reduce the energy consumption based on internal information and on the interaction with an external entity. Moreover, the management approaches results in an active participation of the consumers in the operation of the smart grids and microgrids concepts. The paper developed presents the application of a dynamic priority method in SCADA Office Intelligent Context Awareness Management system to manage the energy resources installed in an office building. The intelligent management method allows the dynamic active participation of the office building in the DR events considering the real data of consumption and generation of one building in Polytechnic of Porto. The main goal of the methodology is to obtain a dynamic scheduling for all energy resources with little interference in the comfort of users. The results of dynamic management model in office building are discussed for the participation in 8 hours demand response event. The power limit of the scenario depends on the consumption and micro-generation power of an October day.
The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); EUREKA - ITEA2 Project SEAS with project number 12004; AVIGAE Project (P2020 - 3401); UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT, and GECAD–EEA/00760.
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Fernandes, F., Gomes, L., Morais, H., Silva, M., Vale, Z., Corchado, J.M. (2016). Dynamic Energy Management Method with Demand Response Interaction Applied in an Office Building. In: de la Prieta, F., et al. Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. PAAMS 2016. Advances in Intelligent Systems and Computing, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-319-40159-1_6
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DOI: https://doi.org/10.1007/978-3-319-40159-1_6
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