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دسته بندی:
مدیریت انرژی - Energy Management
سال انتشار:
2020
عنوان انگلیسی مقاله:
Risk-constrained stochastic power procurement of storage-based large electricity consumer
ترجمه فارسی عنوان مقاله:
منبع تغذیه تصادفی محدود شده در معرض خطر مصرف کننده بزرگ برق مستقر در انبار
منبع:
Sciencedirect - Elsevier - Journal of Energy Storage, 28 (2020) 101183. doi:10.1016/j.est.2019.101183
نویسنده:
Yan Caoa, Qiangfeng Wanga, Qingming Fana, Sayyad Nojavanb, Kittisak Jermsittiparsertc,⁎
چکیده انگلیسی:
Large electricity consumers can be either a large industrial consumer or a coalition of small electricity consumers.
Large consumers (LCs) confront with various uncertainties due to the use of various power resources in
the power procurement process, such as renewable resources, self-generation units, forward contracts, and pool
market. These uncertainties can be lead to many financial risks for LCs. In this paper, the stochastic power
procurement problem of large consumers is solved, and the new risk-measurement method is used to analyze the
large consumer risks in power procurement process. The mentioned risk-measurement method is called downside
risk constraints (DRC) method, which is used to model the financial risk imposed from uncertain parameters
along with the stochastic problems. According to obtained results, it can be concluded that DRC method is a nonequilibrium
method, which is applied clearly as a constraint to the optimization problem. In addition by using
the DRC, LC can experience lower-risk strategy in the power procurement problem. Also, using DRC can make
the total cost of large consumer independent of scenarios, which led to the lower-risk experiencing by the large
consumer. Finally, results are expressed that lower-risk cost in DRC is less than the cost of the worst scenario in
stochastic programming.
Keywords: Large electricity consumer | Risk-measuring | Energy trading and business | Energy storage management | Stochastic programming | Downside risk constraints
قیمت: رایگان
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