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Realistic Scheduling Mechanisms for Smart Homes
Abstract and Figures
Achieving the goal of the decarbonized economy by 2050, the smart grid as future power networked grid tends to reshape the entire power sector. The transition from traditional power sources to renewable power generation sources is on its pace, however, within this transition period, being resourceful in energy consumption is the only option. This thesis deals with energy management within the residential sector and is in threefold. Literature reports the gap between laboratory results and actual results regarding an Energy Management Systems (EMSs). Hence, there is a need for a numerical definition of user comfort that can predict the impact of EMS under user preferences. This problem forms the first part of this thesis i.e., orchestrating a performance metric regarding the optimum selection of EMS. Based on the comparative analysis of the state of the art work in Home EMS (HEMS), certain problems are identified and to overcome these problems a realistic load shifting mechanism that can reduce the peaks, maximize user convenience and tends to reduce energy eficiency gap, is modeled afterward. Proposed management system develops a balance amongst a trade off i.e., cost saving and delay in Time of Use (ToU) of appliances. Finally, concerning a smart community, an energy management model is presented inducing the concept of sharing economy without heavy investments. To achieve this, a highly distributed, intelligent and scalable solution is presented, proposing the idea of Power Distribution Hub (PDH) to minimize individual bills and power consumption from utility at crucial hours. Hence, major contributions in this dissertation are; devising a performance metric \User Comfort Level (UCL)", formulating a realistic EMS for a smart home and a realistic power sharing mechanism for a smart community. While, the major focus is to reduce the use of power from the utility at crucial hours and achieve financial gains.
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