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دسته بندی:
مدیریت انرژی - Energy Management
سال انتشار:
2020
عنوان انگلیسی مقاله:
Optimal scheduling of a renewable based microgrid considering photovoltaic system and battery energy storage under uncertainty
ترجمه فارسی عنوان مقاله:
برنامه ریزی بهینه از یک میکروگرید مبتنی بر قابل تجدید با توجه به سیستم فتوولتائیک و ذخیره انرژی باتری در عدم قطعیت
منبع:
Sciencedirect - Elsevier - Journal of Energy Storage, 28 (2020) 101306. doi:10.1016/j.est.2020.101306
نویسنده:
Liang Luoa,b, Sarkew S. Abdulkareemc, Alireza Rezvanid,⁎, Mohammad Reza Mivehe, Sarminah Samadf, Nahla Aljojog, Mehdi Pazhooheshh
چکیده انگلیسی:
This paper suggests a new energy management system for a grid-connected microgrid with various renewable
energy resources including a photovoltaic (PV), wind turbine (WT), fuel cell (FC), micro turbine (MT) and
battery energy storage system (BESS). For the PV system operating in the microgrid, an innovative mathematical
modelling is presented. In this model, the effect of various irradiances in different days and seasons on day-ahead
scheduling of the microgrid is evaluated. Moreover, the uncertainties in the output power of the PV system and
WT, load demand forecasting error and grid bid changes for the optimal energy management of microgrid are
modelled via a scenario-based technique. To cope with the optimal energy management of the grid-connected
microgrid with a high degree of uncertainties, a modified bat algorithm (MBA) is employed. The proposed
algorithm leads to a faster computation of the best location and more accurate result in comparison with the
genetic algorithm (GA) and particle swarm optimization (PSO) algorithm. The simulation results demonstrate
that the use of practical PV model in a real environment improve the accuracy of the energy management system
and decreases the total operational cost of the grid-connected microgrid.
Keywords: Photovoltaic | Energy management | Battery energy storage system | Uncertainty | Optimization | Microgrid
قیمت: رایگان
توضیحات اضافی:
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