The depletion of conventional energy sources and the spread of renewable distributed ones are rapidly drawing attentions towards new smart systems and solutions for energy efficiency and saving energy cost in residential sector. In order to meet these needs, a model predictive control based energy management algorithm has been proposed and applied to a residential hybrid AC-DC nanogrid in this paper. Residential hybrid AC-DC nanogrid is characterized by an innovative conductive flat tape, while a mixed-integer linear programming approach has been considered in the design of proposed algorithm. Furthermore, the simulation tests have been performed to check the effectiveness of proposed algorithm for residential hybrid AC-DC nanogrid by considering various kinds AC and DC loads.

Predictive Control Based Energy Management of a Residential Hybrid AC-DC Nanogrid / Bruno, S.; Giannoccaro, G.; Islam, M. M.; Iurlaro, C.; La Scala, M.; Menga, M.; Rodio, C.. - (2022), pp. 1183-1187. (Intervento presentato al convegno 4th International Conference on Electrical Engineering and Control Technologies, CEECT 2022 tenutosi a chn nel 2022) [10.1109/CEECT55960.2022.10030693].

Predictive Control Based Energy Management of a Residential Hybrid AC-DC Nanogrid

Bruno S.;Giannoccaro G.;Islam M. M.;Iurlaro C.;La Scala M.;Menga M.;Rodio C.
2022-01-01

Abstract

The depletion of conventional energy sources and the spread of renewable distributed ones are rapidly drawing attentions towards new smart systems and solutions for energy efficiency and saving energy cost in residential sector. In order to meet these needs, a model predictive control based energy management algorithm has been proposed and applied to a residential hybrid AC-DC nanogrid in this paper. Residential hybrid AC-DC nanogrid is characterized by an innovative conductive flat tape, while a mixed-integer linear programming approach has been considered in the design of proposed algorithm. Furthermore, the simulation tests have been performed to check the effectiveness of proposed algorithm for residential hybrid AC-DC nanogrid by considering various kinds AC and DC loads.
2022
4th International Conference on Electrical Engineering and Control Technologies, CEECT 2022
978-1-6654-9899-9
Predictive Control Based Energy Management of a Residential Hybrid AC-DC Nanogrid / Bruno, S.; Giannoccaro, G.; Islam, M. M.; Iurlaro, C.; La Scala, M.; Menga, M.; Rodio, C.. - (2022), pp. 1183-1187. (Intervento presentato al convegno 4th International Conference on Electrical Engineering and Control Technologies, CEECT 2022 tenutosi a chn nel 2022) [10.1109/CEECT55960.2022.10030693].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/248381
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