کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5001040 | 1460863 | 2017 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Applying modern portfolio theory for a dynamic energy portfolio allocation in electricity markets
ترجمه فارسی عنوان
اعمال تئوری نمونه کارها مدرن برای تخصیص نمونه کارهای پویای انرژی در بازارهای برق
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کلمات کلیدی
تئوری نمونه کارها، بازار برق واریانس متوسط، ارزش شرطی در معرض خطر،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
چکیده انگلیسی
In deregulated electricity markets, a Generation Company (Genco) has to optimally allocate their energy among different markets including spot, local and bilateral contract markets. Modern portfolio theory (MPT) allows a Genco to achieve their goal by maximizing their profit and decreasing their associated risk. Combining MPT with an adequate tool to forecast energy prices makes it possible for a Genco to vary the optimal allocation of their portfolio even on a daily basis. This paper proposes two MPT models, one applying the Mean Variance Criterion (MVC) and the other one the Conditional Value at Risk (CVaR). The MPT models are combined with a generalized autoregressive conditional heteroskedastic (GARCH) prediction technique for a Genco to optimally diversify their energy portfolio. The two models are applied to a real PJM electricity market showing not only their capabilities but also useful comparisons between them in order to help decision makers to use them as decision-aid tools.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 150, September 2017, Pages 11-23
Journal: Electric Power Systems Research - Volume 150, September 2017, Pages 11-23
نویسندگان
Reinaldo C. Garcia, Virginia González, Javier Contreras, Janiele E.S.C. Custodio,