A Smart Grid Energy Management Problem for Data-driven Design with Probabilistic Reachability Guarantees

Autor:	Daniele Ioli, Marianne Hartung, Maria Prandini, Axel Busboom, Alessandro Falsone
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	0209 industrial biotechnology 020901 industrial engineering & automation Smart grid 020401 chemical engineering Energy management Reachability Distributed computing Probabilistic logic 02 engineering and technology Business 0204 chemical engineering 7. Clean energy Data-driven
Zdroj:	ARCH@CPSWeek EPiC Series in Computing volume 48
ISSN:	2398-7340
Popis:	In this paper we describe an energy management benchmark problem for a smart grid where electrical energy is supplied to a load via local power production from a solar PhotoVoltaic (PV) installation. The smart grid is connected with the main grid, which can eventually provide the energy needed for balancing demand and generation. The goal is to set the battery energy flow so as to keep the energy exchange with the main grid as close as possible to a nominal profile, within certified bounds, avoiding the fluctuations caused by the local PV energy production. Some energy production profiles of the PV installation and environmental data on irradiation and temperature are available for the design of the energy management strategy, together with a hybrid model for the battery and the electrical load profile. We describe a data-driven solution, pointing out its limits and providing some hint on possible direction for improvement.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f17cc48c61683d13d482097014928218 http://hdl.handle.net/11311/1030739 Zobrazit plný text záznamu