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المؤلفAchour, Yasmine
المؤلفOuammi, Ahmed
المؤلفZejli, Driss
تاريخ الإتاحة2024-08-15T04:48:37Z
تاريخ النشر2021
اسم المنشورIEEE Access
المصدرScopus
الرقم المعياري الدولي للكتاب21693536
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ACCESS.2021.3132895
معرّف المصادر الموحدhttp://hdl.handle.net/10576/57729
الملخصThis paper presents an effective solution to manage the power flows exchanges in a campus integrated microgrid for peak reduction/shaving purposes. The campus integrated microgrid is composed of photovoltaic parking shades, an energy storage system, electric vehicles and bikes, loads, an advanced metering infrastructure, and a smart control unit. The latter is based on Model Predictive Control (MPC) whose objective is to reduce/shave the peak load of the campus while satisfying the Energy Storage System ESS, electrical Vehicles (EVs) and Electrical Bikes (EBs) state of charge. The proposed strategy aims to take the advantage of combining storage and photovoltaic (PV) systems to Vehicle to Campus (V2C) and Bike to Campus (B2C) concepts to support the microgrid to pay the minimum billing power while ensuring a good service quality to the EVs and EBs users. For that, the integration of the renewable energy sources and the different storage systems into the microgrid is modeled, and the MPC-based optimization framework is formulated. Besides, the results related to the application of the MPC to real case studies are presented, integrating the effects of static and dynamic weighting factors on the microgrid operation.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعCampus integrated microgrid
demand response
electric bikes
electric vehicles
model predictive control
peak reduction
renewable energy
العنوانModel Predictive Control Based Demand Response Scheme for Peak Demand Reduction in a Smart Campus Integrated Microgrid
النوعArticle
الصفحات162765-162778
رقم المجلد9
dc.accessType Open Access


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