@CONFERENCE{Giorgio20193216,
author={Giorgio, A.D. and Giuseppi, A. and Germana, R. and Liberati, F.},
title={Decentralised model predictive control of electric vehicles charging},
journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
year={2019},
volume={2019-October},
pages={3216-3222},
doi={10.1109/SMC.2019.8914040},
art_number={8914040},
abstract={This paper presents a decentralised control strategy for the management of simultaneous charging sessions of electric vehicles. The proposed approach is based on the model predictive control methodology and the Lagrangian decomposition of the constrained optimization problem which is solved at each sampling time. This strategy allows the computation of the charging profiles in a decentralised way, with limited information exchange between the electric vehicles. The simulation results show the potential of the proposed approach in relation to the problem of shaving the aggregated power withdrawal from the electricity distribution grid, while still satisfying drivers' preferences for charging. © 2019 IEEE.},
keywords={Charging (batteries);  Constrained optimization;  Decentralized control;  Electric utilities;  Electric vehicles, Charging profiles;  Constrained optimi-zation problems;  Decentralised;  Decentralised control;  Electricity distribution;  Lagrangian decomposition;  Limited information;  Sampling time, Model predictive control},
document_type={Conference Paper},
}

{"_id":"KWXzWDPintfdQmwir","bibbaseid":"giorgio-giuseppi-germana-liberati-decentralisedmodelpredictivecontrolofelectricvehiclescharging-2019","authorIDs":["cnSbkZ6mcMEB5wsJn"],"author_short":["Giorgio, A.","Giuseppi, A.","Germana, R.","Liberati, F."],"bibdata":{"bibtype":"conference","type":"conference","author":[{"propositions":[],"lastnames":["Giorgio"],"firstnames":["A.D."],"suffixes":[]},{"propositions":[],"lastnames":["Giuseppi"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Germana"],"firstnames":["R."],"suffixes":[]},{"propositions":[],"lastnames":["Liberati"],"firstnames":["F."],"suffixes":[]}],"title":"Decentralised model predictive control of electric vehicles charging","journal":"Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics","year":"2019","volume":"2019-October","pages":"3216-3222","doi":"10.1109/SMC.2019.8914040","art_number":"8914040","abstract":"This paper presents a decentralised control strategy for the management of simultaneous charging sessions of electric vehicles. The proposed approach is based on the model predictive control methodology and the Lagrangian decomposition of the constrained optimization problem which is solved at each sampling time. This strategy allows the computation of the charging profiles in a decentralised way, with limited information exchange between the electric vehicles. The simulation results show the potential of the proposed approach in relation to the problem of shaving the aggregated power withdrawal from the electricity distribution grid, while still satisfying drivers' preferences for charging. © 2019 IEEE.","keywords":"Charging (batteries); Constrained optimization; Decentralized control; Electric utilities; Electric vehicles, Charging profiles; Constrained optimi-zation problems; Decentralised; Decentralised control; Electricity distribution; Lagrangian decomposition; Limited information; Sampling time, Model predictive control","document_type":"Conference Paper","bibtex":"@CONFERENCE{Giorgio20193216,\nauthor={Giorgio, A.D. and Giuseppi, A. and Germana, R. and Liberati, F.},\ntitle={Decentralised model predictive control of electric vehicles charging},\njournal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},\nyear={2019},\nvolume={2019-October},\npages={3216-3222},\ndoi={10.1109/SMC.2019.8914040},\nart_number={8914040},\nabstract={This paper presents a decentralised control strategy for the management of simultaneous charging sessions of electric vehicles. The proposed approach is based on the model predictive control methodology and the Lagrangian decomposition of the constrained optimization problem which is solved at each sampling time. This strategy allows the computation of the charging profiles in a decentralised way, with limited information exchange between the electric vehicles. The simulation results show the potential of the proposed approach in relation to the problem of shaving the aggregated power withdrawal from the electricity distribution grid, while still satisfying drivers' preferences for charging. © 2019 IEEE.},\nkeywords={Charging (batteries); Constrained optimization; Decentralized control; Electric utilities; Electric vehicles, Charging profiles; Constrained optimi-zation problems; Decentralised; Decentralised control; Electricity distribution; Lagrangian decomposition; Limited information; Sampling time, Model predictive control},\ndocument_type={Conference Paper},\n}\n\n","author_short":["Giorgio, A.","Giuseppi, A.","Germana, R.","Liberati, F."],"key":"Giorgio20193216","id":"Giorgio20193216","bibbaseid":"giorgio-giuseppi-germana-liberati-decentralisedmodelpredictivecontrolofelectricvehiclescharging-2019","role":"author","urls":{},"keyword":["Charging (batteries); Constrained optimization; Decentralized control; Electric utilities; Electric vehicles","Charging profiles; Constrained optimi-zation problems; Decentralised; Decentralised control; Electricity distribution; Lagrangian decomposition; Limited information; Sampling time","Model predictive control"],"metadata":{"authorlinks":{"giuseppi, a":"https://967274320-atari-embeds.googleusercontent.com/embeds/16cb204cf3a9d4d223a0a3fd8b0eec5d/inner-frame-minified.html"}},"downloads":0},"bibtype":"conference","biburl":"https://raw.githubusercontent.com/AGiuseppi/AGiuseppi.github.io/master/pubs.bib","creationDate":"2021-02-05T21:34:02.540Z","downloads":0,"keywords":["charging (batteries); constrained optimization; decentralized control; electric utilities; electric vehicles","charging profiles; constrained optimi-zation problems; decentralised; decentralised control; electricity distribution; lagrangian decomposition; limited information; sampling time","model predictive control"],"search_terms":["decentralised","model","predictive","control","electric","vehicles","charging","giorgio","giuseppi","germana","liberati"],"title":"Decentralised model predictive control of electric vehicles charging","year":2019,"dataSources":["LnFruMKQos7repGrF","pNu9oaGWEHH7o22SP","5EzEYy34nHSRYHdGQ","gfA6sQjmaq9WsWFdK","iGZjjyKe2m2P6Gg4W","ZZdxNsgmnZu3pHpvP"]}