Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/3915
Title: Influence of demand response programs in microgrids facing photovoltaic and battery integration
Authors: Ramos, Bruno P.
Vahid-Ghavidel, Morteza
Osório, Gerardo J.
Shafie-khah, Miadreza
Erdinç, Ozan
Catalão, João P. S.
Keywords: Demand response aggregator
Energy storage
Robust optimization
Smart grid
Solar photovoltaic generation
Issue Date: 21-Oct-2021
Publisher: IEEE
Citation: Ramos, B. P., Vahid-Ghavide, M., Osório, G. J., Shafie-khah, M., Erdinç, O., & Catalão, J. P. S. (2021). Influence of demand response programs in microgrids facing photovoltaic and battery integration. In Proceedings of the 10th International Conference on Power Science and Engineering (ICPSE 2021), Istanbul, Turkey, 21th-23th October 2021 (pp. 1-7). doi: 10.1109/ICPSE53473.2021.9656829. Disponível no Repositório UPT, http://hdl.handle.net/11328/3915
Abstract: Yearly, the number of Distributed Energy Resources (DER) integrated into the power grid increases has increased, having a large impact on power generation globally, promoting the introduction of renewable energy resources (RER). To increase the flexibility of the power system with integrated RER, the introduction of energy storage systems (ESS) is essential. Demand response (DR) programs also help to increase grid flexibility, resulting in increased grid reliability as grid congestion and losses decrease. However, this new paradigm shift needs further research and careful analysis. In this work, two types of DR programs are addressed to promote greater participation by different consumers features. To interconnect the different consumers, DR aggregators are inserted to ensure that individual consumers have influence on the power market. All these aspects, if accompanied by information, measurement, communication, and control systems, give rise to the smart grids, playing an essential role. The results show, considering the worst uncertainty case scenario, that there is a suitable total RER of 2151.50 kW, against 3227.30 kW, by not considering the RER uncertainty.
URI: http://hdl.handle.net/11328/3915
ISBN: 978-1-6654-0598-0
Appears in Collections:REMIT - Publicações em Livros de Atas Internacionais / Papers in International Proceedings

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