Integration of wind farm, energy storage and demand response for optimum management of generation and carbon emission
Abstract The optimal operation of power systems is one of the most critical issues for operators. Optimizing the operation of power systems while accommodating the increasing penetration of RES, owing to the intermittent and variable nature of these resources, stands as one of the most critical chal...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | The Journal of Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/tje2.12348 |
| _version_ | 1797347559765704704 |
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| author | Kasra Shafiei Mehrdad Tarafdar Hagh Ali Seifi |
| author_facet | Kasra Shafiei Mehrdad Tarafdar Hagh Ali Seifi |
| author_sort | Kasra Shafiei |
| collection | DOAJ |
| description | Abstract The optimal operation of power systems is one of the most critical issues for operators. Optimizing the operation of power systems while accommodating the increasing penetration of RES, owing to the intermittent and variable nature of these resources, stands as one of the most critical challenges for power systems. Numerous primary challenges, including fluctuations in load and nonlinear constraints, further complicate the issue, given its substantial dimensions. Therefore, this paper introduces an approach for improving the management of optimal generation and the associated carbon emissions costs of traditional power plants, which is achieved through integrating wind farms and incorporating battery energy storage. This enhancement is achieved by integrating wind farms and utilizing battery storage systems while considering the costs associated with traditional units using fossil fuels and the expenses related to carbon emissions. The simulation incorporates seven load customer types and five traditional generation sources integrated with wind farms and battery storage devices. The simulation results demonstrate that the new problem formulation has significantly improved the ability and performance of optimizing the scheduling of power plant generations. |
| first_indexed | 2024-03-08T11:50:31Z |
| format | Article |
| id | doaj.art-876548c898134efd9de35dc1c0ef2248 |
| institution | Directory Open Access Journal |
| issn | 2051-3305 |
| language | English |
| last_indexed | 2024-03-08T11:50:31Z |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Journal of Engineering |
| spelling | doaj.art-876548c898134efd9de35dc1c0ef22482024-01-24T13:52:30ZengWileyThe Journal of Engineering2051-33052024-01-0120241n/an/a10.1049/tje2.12348Integration of wind farm, energy storage and demand response for optimum management of generation and carbon emissionKasra Shafiei0Mehrdad Tarafdar Hagh1Ali Seifi2Department of Electrical and Computer Engineering University of Tabriz Tabriz IranDepartment of Electrical and Computer Engineering University of Tabriz Tabriz IranDepartment of Electrical and Computer Engineering University of Tabriz Tabriz IranAbstract The optimal operation of power systems is one of the most critical issues for operators. Optimizing the operation of power systems while accommodating the increasing penetration of RES, owing to the intermittent and variable nature of these resources, stands as one of the most critical challenges for power systems. Numerous primary challenges, including fluctuations in load and nonlinear constraints, further complicate the issue, given its substantial dimensions. Therefore, this paper introduces an approach for improving the management of optimal generation and the associated carbon emissions costs of traditional power plants, which is achieved through integrating wind farms and incorporating battery energy storage. This enhancement is achieved by integrating wind farms and utilizing battery storage systems while considering the costs associated with traditional units using fossil fuels and the expenses related to carbon emissions. The simulation incorporates seven load customer types and five traditional generation sources integrated with wind farms and battery storage devices. The simulation results demonstrate that the new problem formulation has significantly improved the ability and performance of optimizing the scheduling of power plant generations.https://doi.org/10.1049/tje2.12348battery storage plantsdemand side managementenergy management systemsenvironmental economicspower system economicsrenewable energy sources |
| spellingShingle | Kasra Shafiei Mehrdad Tarafdar Hagh Ali Seifi Integration of wind farm, energy storage and demand response for optimum management of generation and carbon emission The Journal of Engineering battery storage plants demand side management energy management systems environmental economics power system economics renewable energy sources |
| title | Integration of wind farm, energy storage and demand response for optimum management of generation and carbon emission |
| title_full | Integration of wind farm, energy storage and demand response for optimum management of generation and carbon emission |
| title_fullStr | Integration of wind farm, energy storage and demand response for optimum management of generation and carbon emission |
| title_full_unstemmed | Integration of wind farm, energy storage and demand response for optimum management of generation and carbon emission |
| title_short | Integration of wind farm, energy storage and demand response for optimum management of generation and carbon emission |
| title_sort | integration of wind farm energy storage and demand response for optimum management of generation and carbon emission |
| topic | battery storage plants demand side management energy management systems environmental economics power system economics renewable energy sources |
| url | https://doi.org/10.1049/tje2.12348 |
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