با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Harnessing demand-side management benefit towards achieving a 100% renewable energy microgrid
بهره برداری از مدیریت تقاضا برای دستیابی به سود 100٪ میکروگرید انرژی تجدید پذیر-2020 Optimal sizing with energy management strategy as a transition pathway towards a sustainable 100% renewable energy-based
microgrid is investigated in this paper. Due to the challenges of intermittency of renewable energy, microgrid operations are
complicated. Hence, in order to overcome some of the challenges facing microgrid planning and operations, optimal capacity
sizing incorporated with energy management strategy considering time-ahead generation prediction is proposed. The system
model consists of wind turbine (WT), solar photovoltaic (PV) and battery energy storage system (BESS). The generation
forecasting output is used to reschedule the flexible demand resources (FDR) to reduce the mismatch between power demand
and supply, and optimal sizing of components is performed jointly to determine the optimal capacity values of the PV, WT, and
BESS for minimal investment costs. The optimization results for the scenarios with and without load shifting effects of FDRs
are determined and analyzed for the case study. From the results obtained, the application of demand scheduling program using
the generation forecasting outputs resulted in a cost-saving of 12.41%. The forecasting model is implemented using a random
forest algorithm on python platform and the mixed-integer linear program on MATLAB® environment is used to model and
solve the capacity sizing problem. Keywords: Flexible demand resources (FDR) | Random forest (RF) | Wind turbine (WT) | Photo-voltaic (PV) | Battery energy storage (BESS) |
مقاله انگلیسی |