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AuthorMehrjerdi, Hasan
AuthorHemmati, Reza
AuthorMahdavi, Sajad
AuthorShafie-Khah, Miadreza
AuthorCatalão, João P. S.
Available date2022-11-14T10:49:11Z
Publication Date2022
Publication NameIEEE Transactions on Industrial Informatics
ResourceScopus
Resource2-s2.0-85118280671
URIhttp://dx.doi.org/10.1109/TII.2021.3121333
URIhttp://hdl.handle.net/10576/36343
AbstractThe microgrid operation is addressed in this article based on a multicarrier energy hub. Natural gas, electricity, heating, cooling, hydrogen, carbon dioxide, and renewable energies are considered as the energy carriers. The designed microgrid optimizes and utilizes a wide range of resources at the same time including renewables, electrical storage, hybrid storage, heating-cooling storage, electric vehicles (EVs) charging station, power to gas unit, combined cooling-heating-power, and carbon capture-storage. The purpose is to reduce the environmental pollutions and operating costs. The resilience and flexibility of the energy hub is also improved. Vehicle to grid and fully-partial charge models are incorporated for EVs to improve the system resilience and supplying the critical loads following events. Different events are modeled to evaluate the system resilience. The model is expressed as a stochastic mixed integer linear programming problem. Both active and reactive powers are modeled. The microgrid is simulated under four different cases. The results show that the multitype energy storages reduce the annual cost of energy while the integrated charging station can decrease the load shedding. 2005-2012 IEEE.
Languageen
PublisherIEEE Computer Society
SubjectCO2trading
electric vehicle charging station
multitype energy storage
power-to-gas (P2G), resilience
TitleMulticarrier Microgrid Operation Model Using Stochastic Mixed Integer Linear Programming
TypeArticle
Pagination4674-4687
Issue Number7
Volume Number18
dc.accessType Abstract Only


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