Wholesale and retail energy markets model for the energy networks in the presence of the energy hubs
In this paper, the formulation of the energy market in two wholesale and retail models for different energy networks such as electric, gas and thermal networks in the presence of energy hubs according to the two-layer energy management system is presented. In the first layer of EMS, the coordination...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723001233 |
| _version_ | 1797781941934620672 |
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| author | Mahmoud Zadehbagheri Mohammad Javad Kiani Omid Kohansal |
| author_facet | Mahmoud Zadehbagheri Mohammad Javad Kiani Omid Kohansal |
| author_sort | Mahmoud Zadehbagheri |
| collection | DOAJ |
| description | In this paper, the formulation of the energy market in two wholesale and retail models for different energy networks such as electric, gas and thermal networks in the presence of energy hubs according to the two-layer energy management system is presented. In the first layer of EMS, the coordination of resources and ALs with the operator of EHs is considered, and in the second layer of EMS, the coordination of the operator of EHs with ENOs is considered. In the proposed design, the mentioned networks have participated in the wholesale market as private distribution companies or DisCo and then buy energy from it. These companies have shared the purchased energy in the retail energy market environment between consumers and EHs connected to itself. This design is expressed in the form of two-level optimization, the upper level of which is the minimization of the expected energy cost of ENs in the mentioned markets, and the other level is the minimization of the expected energy losses of ENs in the retail market. In the following, the Karush–Kuhn–Tucker (KKT) method and Pareto optimization technique based on epsilon constraint method were used to derive the single-level and single-objective problem. Then, the unscented transformation (UT) method was used to model the uncertainties of load, energy price, renewable power and EV energy demand. Finally, based on the numerical results, it was observed that the proposed plan achieves the highest profit for EHs in proportion to the time-varying energy price. Also, with the optimal energy management of EHs, it has been able to reduce the energy cost of ENs by about 12% compared to load flow studies. |
| first_indexed | 2024-03-13T00:04:04Z |
| format | Article |
| id | doaj.art-9812448371a0495d90d3ee0f0890093e |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T00:04:04Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-9812448371a0495d90d3ee0f0890093e2023-07-13T05:29:23ZengElsevierEnergy Reports2352-48472023-12-01928392851Wholesale and retail energy markets model for the energy networks in the presence of the energy hubsMahmoud Zadehbagheri0Mohammad Javad Kiani1Omid Kohansal2Corresponding authors.; Department of Electrical Engineering, Yasuj Branch, Islamic Azad University, Yasuj, IranCorresponding authors.; Department of Electrical Engineering, Yasuj Branch, Islamic Azad University, Yasuj, IranDepartment of Electrical Engineering, Yasuj Branch, Islamic Azad University, Yasuj, IranIn this paper, the formulation of the energy market in two wholesale and retail models for different energy networks such as electric, gas and thermal networks in the presence of energy hubs according to the two-layer energy management system is presented. In the first layer of EMS, the coordination of resources and ALs with the operator of EHs is considered, and in the second layer of EMS, the coordination of the operator of EHs with ENOs is considered. In the proposed design, the mentioned networks have participated in the wholesale market as private distribution companies or DisCo and then buy energy from it. These companies have shared the purchased energy in the retail energy market environment between consumers and EHs connected to itself. This design is expressed in the form of two-level optimization, the upper level of which is the minimization of the expected energy cost of ENs in the mentioned markets, and the other level is the minimization of the expected energy losses of ENs in the retail market. In the following, the Karush–Kuhn–Tucker (KKT) method and Pareto optimization technique based on epsilon constraint method were used to derive the single-level and single-objective problem. Then, the unscented transformation (UT) method was used to model the uncertainties of load, energy price, renewable power and EV energy demand. Finally, based on the numerical results, it was observed that the proposed plan achieves the highest profit for EHs in proportion to the time-varying energy price. Also, with the optimal energy management of EHs, it has been able to reduce the energy cost of ENs by about 12% compared to load flow studies.http://www.sciencedirect.com/science/article/pii/S2352484723001233Wholesale and retail marketsEnergy hubDisCoTwo-level optimizationEnergy managementFlexibility |
| spellingShingle | Mahmoud Zadehbagheri Mohammad Javad Kiani Omid Kohansal Wholesale and retail energy markets model for the energy networks in the presence of the energy hubs Energy Reports Wholesale and retail markets Energy hub DisCo Two-level optimization Energy management Flexibility |
| title | Wholesale and retail energy markets model for the energy networks in the presence of the energy hubs |
| title_full | Wholesale and retail energy markets model for the energy networks in the presence of the energy hubs |
| title_fullStr | Wholesale and retail energy markets model for the energy networks in the presence of the energy hubs |
| title_full_unstemmed | Wholesale and retail energy markets model for the energy networks in the presence of the energy hubs |
| title_short | Wholesale and retail energy markets model for the energy networks in the presence of the energy hubs |
| title_sort | wholesale and retail energy markets model for the energy networks in the presence of the energy hubs |
| topic | Wholesale and retail markets Energy hub DisCo Two-level optimization Energy management Flexibility |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723001233 |
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