Aygun, A.I.Kamalasadan, S.2024-08-232024-08-232023979-835031057-3https://doi.org/10.1109/PESGRE58662.2023.10404229https://hdl.handle.net/20.500.12684/14721Centre for Development of Advanced Computing (C-DAC); et al.; Kerala Development and Innovation Strategic Council (K-DISC); MathWorks; OPAL-RT Technologies; RTDS Technologies2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023 -- 17 December 2023 through 20 December 2023 -- Trivandrum -- 196985This work introduces a convex optimization for the management of demand response and home appliances using electric vehicles during a power outage. The algorithm manages the power distribution based on vehicle availability and ensures complete demand during a power outage or supply shortage. In addition, the paper demonstrates an algorithm that reduces peak demand by controlling home devices without violating consumer comfort. Various household appliances, such as air conditioner (AC), water heater (WH), clothes dryer (CD), and dish washer (DW) are developed to achieve more precise results. This algorithm's primary objective is not only to minimize or distribute power consumption but also to move it to a better pricing period based on the flexibility rate. The results demonstrate that with the proposed control architecture the total load are more balanced (more than 40%) when compared to without the control and the usable temperature can be controlled more effectively. © 2023 IEEE.en10.1109/PESGRE58662.2023.10404229info:eu-repo/semantics/closedAccessdemand response (DR)economic dispatchElectric vehicles (EVs)load dispatchload priorityAir conditioningConvex optimizationElectric load dispatchingElectric load sheddingElectric power plant loadsElectric power system economicsElectric vehiclesOutagesDemand responseEconomic DispatchElectric vehicleLoad dispatchLoad priorityOptimal energyPower gridsPower outageVehicle loadDomestic appliancesConference Object2-s2.0-85185796562N/A