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Title	Mpc-Based Optimal Operation Of Smart City Considering Multi Energy Storage
ID_Doc	38006
Authors	Ishibashi T.; Uehara A.; Krishna N.; Hemeida A.M.; Takahashi H.; Senjyu T.
Year	2024
Published	13th International Conference on Renewable Energy Research and Applications, ICRERA 2024
DOI	http://dx.doi.org/10.1109/ICRERA62673.2024.10815324
Abstract	Cities are transitioning to smart cities to achieve a decarbonized society. Energy management that integrates renewable energy (RES) and combined cooling heat and power (CCHP) is being studied with the goal of improving energy use and eliminating carbon emissions. To deal with uncertainty in RES, model predictive control (MPC), which iteratively predicts and optimises to solve the problem, has attracted attention. In addition, cooling and heating tanks are also important components in reducing the required capacity of batteries and improving the flexibility of cooling and heating. This study proposes an optimal MPC-based operation in a smart city with cooling/heating storage and verifies its effectiveness by comparing costs and carbon emissions through simulation. © 2024 IEEE.
Author Keywords	Combined cooling heat and power; Energy management; Model predictive control; Renewable energy source; Smart city

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