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Browsing by Author "Majidzadeh, Maryam"

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    Cloud Energy Storage System Enabled Interactive Scheduling of Smart Homes/Buildings and Microgrids To Maximize Photovoltaic Energy Harvesting
    (Taylor & Francis Ltd, 2025) Khoshniyyat, Saeid; Majidzadeh, Maryam
    This manuscript establishes an optimal model aiming at minimizing the energy consumption costs of microgrids (MGs) by incorporating the interactions between MGs and the main grid. The smart homes/buildings, inside the MGs, are hosting renewable photovoltaics (PVs), targeting their energy harvesting maximization. Based on data sharing possibility, higher flexibility is contemplated through cloud-based energy storage system (CESS). Thanks to CESS presence, a shared pool of energy charging and discharging is made economically justified for the MGs enabling interactive energy transactions. Here, PV energy exploitation is first dedicated for local loads, say as fixed loads and controllable appliances. Then, the PV surplus power is deemed to be sold to the main grid or stored in CESS to be used at peak time intervals. In the case of surplus energy toward the main grid, the reverse flow could instigate voltage rise in the point of common coupling of MG to the LVDS. This issue would jeopardize the MG's safe operation and lower the PV harvesting percentage. Proper technical constraints are hence included which would contribute to a wiser charging/discharging of CESS, the reverse flow intensity would be relieved, and the voltage rise would be diminished. Detailed simulation studies are tailored in depth.
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    Article
    Sharing Strategy Development of a Cloud Energy Storage System in Energy Management of a Microgrid Considering Sustainable and Telecommunication-Assisted Architecture
    (inst Engineering Technology-iet, 2023) Khoshniyyat, Saeid; Majidzadeh, Maryam
    This paper explores residential microgrids (MG) which not only deploy smart algorithms and energy management strategies for appliances scheduling but also make benefit of insulated wall structures and modern windows ending to smart buildings with sustainable architecture. This amendment is shown to have a remarkable effect on avoiding thermal energy losses and hence lowering energy consumption of heat, ventilation, and air conditioning system (HVAC) in smart and sustainable homes. Moreover, frequency selective surfaces applied in modern windows are shown to greatly improve in-service telecommunication signal transfer ratio, assuring a reliable communication for inhabitants. The proposed model adopts the most recent concept of cloud energy storage system (CESS) unit to provide a public access to charge/discharge capacity for smart home owners. Accordingly, a simple but applicable capacity sharing strategy of CESS is developed for the energy exchanges of smart homes in the MG. By establishing such an access to CESS, the proposed model allocates optimal shares of charge/discharge capacities for home owners, minimizes the daily operation cost of each home and grants an optimal operation of household appliances. The proposed model is formulated as a mixed integer linear programming (MILP) problem and is assessed in several operating strategies.