| Summary: | 碩士 === 國立臺北科技大學 === 電機工程系所 === 104 === A smart home energy management system (HEMS) aiming to consider the demand response (DR) program deployed by the utility company, i.e., the price-based program, and facilitate the bidirectional communication between the utility and residential customers without violating the latter’s privacy using the advanced metering infrastructure (AMI) is implemented to achieve the economic benefits of both parties. To achieve the energy saving purpose, both of the photovoltaic system (PVs) and energy storage system (ESS) are installed in the proposed HEMS to satisfy the demand of residential loads apart from using the electricity power provided by the utility grids. The electricity power flow between PVs, ESS, and utility grids in the proposed HEMS is coordinated using a control module consists of an embedded system, human machine interaction (HMI) web interface, and a fuzzy logic based power dispatch algorithm which aims to determine the amount of electricity purchased from the utility grid. Different with the conventional approach, the proposed fuzzy logic based power dispatch algorithm employs a modulating membership function (MMF) that can be fine tuned based on the historical data of power consumption in HEMS using the genetic algorithm (GA). Extensive simulation and experimental studies show that the proposed HEMS is able to achieve both energy saving and cost reduction purposes by responding to the price-based DR program of utility, exploiting the local generation capability of PVs, and leveraging the energy storage capability of ESS in satisfying the household electricity demands.
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