A Solution for Risk Management of a Distribution Company in the Retail Market
In this paper, distributed generations for risk management of a distribution company (DisCo) in the competitive market environment are introduced. The proposed model for this problem considers a stochastic programming framework in the yearly horizon that is to maximize the expected profit considerin...
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| Format: | Article |
| Language: | English |
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OICC Press
2024-02-01
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| Series: | Majlesi Journal of Electrical Engineering |
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| Online Access: | https://oiccpress.com/mjee/article/view/5197 |
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| _version_ | 1850188103496499200 |
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| author | Forough Taki Ali Shishebori Ramtin Sadeghi |
| author_facet | Forough Taki Ali Shishebori Ramtin Sadeghi |
| author_sort | Forough Taki |
| collection | DOAJ |
| description | In this paper, distributed generations for risk management of a distribution company (DisCo) in the competitive market environment are introduced. The proposed model for this problem considers a stochastic programming framework in the yearly horizon that is to maximize the expected profit considering the uncertainties of the retail market such as the end user demand and the electricity pool price. In this study, the key point is modeling the uncertainties of distributed generations as a reliable source for DisCos. Finally, the approach suggests the optimal resources for procuring the customers' load. Also a basic carbon market is modeled to support the role of renewable energies. |
| format | Article |
| id | doaj-art-b6dfe17e2ca6408b87452d0d809639b9 |
| institution | OA Journals |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-b6dfe17e2ca6408b87452d0d809639b92025-08-20T02:15:58ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-0161A Solution for Risk Management of a Distribution Company in the Retail MarketForough Taki0Ali Shishebori1Ramtin Sadeghi2Member of Young Researchers Club, Majlesi Branch, Islamic Azad University, IranMember of Young Researchers Club, Majlesi Branch, Islamic Azad University, IranDepartment of Electrical Engineering, Majlesi Branch, Islamic Azad University, Isfahan, IranIn this paper, distributed generations for risk management of a distribution company (DisCo) in the competitive market environment are introduced. The proposed model for this problem considers a stochastic programming framework in the yearly horizon that is to maximize the expected profit considering the uncertainties of the retail market such as the end user demand and the electricity pool price. In this study, the key point is modeling the uncertainties of distributed generations as a reliable source for DisCos. Finally, the approach suggests the optimal resources for procuring the customers' load. Also a basic carbon market is modeled to support the role of renewable energies. https://oiccpress.com/mjee/article/view/5197Cloud computing, DDoS attacks, Machine Learning, deep learning techniques, . , |
| spellingShingle | Forough Taki Ali Shishebori Ramtin Sadeghi A Solution for Risk Management of a Distribution Company in the Retail Market Majlesi Journal of Electrical Engineering Cloud computing, DDoS attacks, Machine Learning, deep learning techniques, . , |
| title | A Solution for Risk Management of a Distribution Company in the Retail Market |
| title_full | A Solution for Risk Management of a Distribution Company in the Retail Market |
| title_fullStr | A Solution for Risk Management of a Distribution Company in the Retail Market |
| title_full_unstemmed | A Solution for Risk Management of a Distribution Company in the Retail Market |
| title_short | A Solution for Risk Management of a Distribution Company in the Retail Market |
| title_sort | solution for risk management of a distribution company in the retail market |
| topic | Cloud computing, DDoS attacks, Machine Learning, deep learning techniques, . , |
| url | https://oiccpress.com/mjee/article/view/5197 |
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