Smart City Gnosys

Smart city article details

Title	Optimal Energy Management Of Cooperative Energy Communities Considering Flexible Demand, Storage And Vehicle-To-Grid Under Uncertainties
ID_Doc	40399
Authors	Tostado-Véliz M.; Kamel S.; Hasanien H.M.; Turky R.A.; Jurado F.
Year	2022
Published	Sustainable Cities and Society, 84
DOI	http://dx.doi.org/10.1016/j.scs.2022.104019
Abstract	With the advent of smart cities, residential consumers have evolved towards the concept of prosumers. This paradigm calls for new businesses like energy communities. Energy management of such frameworks is essential to maximize the collective welfare. This paper addresses this issue by developing an energy management framework that accounts for flexible demand, storage devices and electric vehicles. Its two-level structure allows to address the energy exchanging among prosumers in the 1st stage, while the 2nd stage focuses on optimally schedule the different collective assets. A novel stochastic-interval model is proposed to handle with uncertainties from demand, renewable generation, vehicles’ behaviour and energy pricing. A case study is performed on a six-prosumer community. Results serve to validate the new tool and analyse the importance of smart devices. In addition, the new proposal allows to adopt different operating strategies. Actually, the total operating cost may increase by 90% if a pessimistic point of view is adopted while the importance of the vehicle-to-grid capability is marginal otherwise. Furthermore, the energy purchased could be reduced by 7% when adopting a community arrangement, supposing an improvement in the economy and environmental indicators of the network. Other relevant aspects are identified and discussed in depth. © 2022 Elsevier Ltd
Author Keywords	Electric vehicle; Energy community; Energy storage; Renewable energy; Smart city

Similar Articles

Id	Similarity	Authors	Title	Published
46843	0.913	Tostado-Véliz M.; Giraldo J.S.; Icaza Álvarez D.; Cruz C.; Jurado F.	Robust Day-Ahead Scheduling Of Cooperative Energy Communities Considering Multiple Aggregators	Sustainable Cities and Society, 116 (2024)
40437	0.885	Cerna F.V.; Pourakbari-Kasmaei M.; Barros R.G.; Naderi E.; Lehtonen M.; Contreras J.	Optimal Operating Scheme Of Neighborhood Energy Storage Communities To Improve Power Grid Performance In Smart Cities	Applied Energy, 331 (2023)
57314	0.883	Ghaddar B.; Ljubić I.; Qiu Y.	Three Network Design Problems For Community Energy Storage	Networks, 84, 4 (2024)
40496	0.879	Alam S.E.; Shukla D.	Optimal Regulation Of Prosumers And Consumers In Smart Energy Communities	ISC2 2022 - 8th IEEE International Smart Cities Conference (2022)
3547	0.879	Tostado-Véliz M.; Rezaee Jordehi A.; Hasanien H.M.; Turky R.A.; Jurado F.	A Novel Stochastic Home Energy Management System Considering Negawatt Trading	Sustainable Cities and Society, 97 (2023)
40751	0.871	Hou L.; Tong X.; Chen H.; Fan L.; Liu T.; Liu W.; Liu T.	Optimized Scheduling Of Smart Community Energy Systems Considering Demand Response And Shared Energy Storage	Energy, 295 (2024)
4599	0.87	Dorahaki S.; Rashidinejad M.; MollahassaniPour M.; Pourakbari Kasmaei M.; Afzali P.	A Sharing Economy Model For A Sustainable Community Energy Storage Considering End-User Comfort	Sustainable Cities and Society, 97 (2023)
1127	0.867	Salmani Z.; Lasemi Imeni M.; Ghazizadeh M.S.; Lasemi M.A.	A Cost-Emission Based Scheme For Residential Energy Hub Management Considering Comfortable Lifestyle And Responsible Demand	Smart Science, 12, 1 (2024)
1729	0.867	Fatemi S.; Ketabi A.; Mansouri S.A.	A Four-Stage Stochastic Framework For Managing Electricity Market By Participating Smart Buildings And Electric Vehicles: Towards Smart Cities With Active End-Users	Sustainable Cities and Society, 93 (2023)
31841	0.866	Zhou F.; Li Y.; Wang W.; Pan C.	Integrated Energy Management Of A Smart Community With Electric Vehicle Charging Using Scenario Based Stochastic Model Predictive Control	Energy and Buildings, 260 (2022)