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دسته بندی:
مدیریت انرژی - Energy Management
سال انتشار:
2020
عنوان انگلیسی مقاله:
Internet-of-things-based optimal smart city energy management considering shiftable loads and energy storage
ترجمه فارسی عنوان مقاله:
مدیریت انرژی بهینه شهر هوشمند مبتنی بر اینترنت اشیا با توجه به بارهای قابل تغییر و ذخیره انرژی
منبع:
Sciencedirect - Elsevier - Journal of Cleaner Production, 264 (2020) 121620. doi:10.1016/j.jclepro.2020.121620
نویسنده:
H^eris¸ Golpîra a, *, Salah Bahramara b
چکیده انگلیسی:
Formulating a novel mixed integer linear programing problem, this paper introduces an optimal
Internet-of-Things-based Energy Management (EM) framework for general distribution networks in
Smart Cities (SCs), in the presence of shiftable loads. The system’s decisions are optimally shared between
its two main designed layers; a “core cloud” and the “edge clouds”. The EM of a Microgrid (MG),
covered by an edge cloud, is directly done by its operator and the Distribution System Operator (DSO) is
responsible for optimising the EM of the core cloud. Changing the load consumption pattern, based on
market energy prices, for the edge clouds and their peak load hours, the framework results in decreasing
the total operation cost of the edge clouds. Using the optimal trading power of the MGs aggregators as
the input parameters of the core cloud optimisation problem, the DSO optimises the network’s total
operation cost addressing the optimal scheduling of the energy storages. The energy storages are charged
in low energy prices through the purchasing power from the market and discharged in high energy
prices to meet the demand of the network and to satisfy the energy required by the edge clouds. As a
result, the shiftable loads and the energy storages are used by the DSO and the MGs to meet the energy
balance with the minimum cost.
Keywords: Energy management | Internet-of-Things | Microgrids | Optimal scheduling | Renewable energy sources
قیمت: رایگان
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