Optimal operation of active distribution networks hosting hybrid hydrogen‐electricity refuelling stations considering water demand under a stochastic‐IGDT approach
Abstract This paper deals with the real‐time optimal operation of active distribution networks (ADNs) hosting hybrid hydrogen‐electricity refuelling stations by benefiting from renewable energy sources (RESs), conversion facilities, and energy storage systems. The hybrid refuelling stations, which a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-04-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.12752 |
| _version_ | 1797852035840737280 |
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| author | Yasin Pezhmani Morteza Zare Oskouei Navid Rezaei Hasan Mehrjerdi |
| author_facet | Yasin Pezhmani Morteza Zare Oskouei Navid Rezaei Hasan Mehrjerdi |
| author_sort | Yasin Pezhmani |
| collection | DOAJ |
| description | Abstract This paper deals with the real‐time optimal operation of active distribution networks (ADNs) hosting hybrid hydrogen‐electricity refuelling stations by benefiting from renewable energy sources (RESs), conversion facilities, and energy storage systems. The hybrid refuelling stations, which are controlled by ADN operator, supply electricity and hydrogen for electric vehicles (EVs) and hydrogen vehicles (HVs), respectively. In addition, the deployment of water equipment technologies in the ADNs, is considered by utilizing water well pumps in the hybrid stations to serve water demand. The principal aim is to minimize the expected operation cost, including the cost of purchasing power from the upstream grid and maintenance and operation costs of each hybrid refuelling station. Various technical and physical constraints are considered to ensure the reliable operation and realistic scheduling of ADNs in the presence of hybrid refuelling stations. This study employs a hybrid information gap decision theory (IGDT)‐stochastic approach to address the uncertain behaviour of wholesale market price, electricity demand of EVs in refuelling stations, RESs output power and nodal demand of ADN to reach a risk‐averse strategy. The developed approach is coded under GAMS software and the effectiveness of the approach is validated by testing on the modified IEEE 33‐bus test system. |
| first_indexed | 2024-04-09T19:27:31Z |
| format | Article |
| id | doaj.art-3b5927cfd5ff4e69b71ee3ce0d627730 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-09T19:27:31Z |
| publishDate | 2023-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-3b5927cfd5ff4e69b71ee3ce0d6277302023-04-05T05:48:27ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952023-04-011771461147610.1049/gtd2.12752Optimal operation of active distribution networks hosting hybrid hydrogen‐electricity refuelling stations considering water demand under a stochastic‐IGDT approachYasin Pezhmani0Morteza Zare Oskouei1Navid Rezaei2Hasan Mehrjerdi3Department of Electrical Engineering University of Kurdistan Sanandaj IranFaculty of Electrical Engineering Sahand University of Technology Tabriz IranDepartment of Electrical Engineering University of Kurdistan Sanandaj IranDepartment of Electrical and Computer Engineering Royal Military College of Canada Kingston CanadaAbstract This paper deals with the real‐time optimal operation of active distribution networks (ADNs) hosting hybrid hydrogen‐electricity refuelling stations by benefiting from renewable energy sources (RESs), conversion facilities, and energy storage systems. The hybrid refuelling stations, which are controlled by ADN operator, supply electricity and hydrogen for electric vehicles (EVs) and hydrogen vehicles (HVs), respectively. In addition, the deployment of water equipment technologies in the ADNs, is considered by utilizing water well pumps in the hybrid stations to serve water demand. The principal aim is to minimize the expected operation cost, including the cost of purchasing power from the upstream grid and maintenance and operation costs of each hybrid refuelling station. Various technical and physical constraints are considered to ensure the reliable operation and realistic scheduling of ADNs in the presence of hybrid refuelling stations. This study employs a hybrid information gap decision theory (IGDT)‐stochastic approach to address the uncertain behaviour of wholesale market price, electricity demand of EVs in refuelling stations, RESs output power and nodal demand of ADN to reach a risk‐averse strategy. The developed approach is coded under GAMS software and the effectiveness of the approach is validated by testing on the modified IEEE 33‐bus test system.https://doi.org/10.1049/gtd2.12752active distribution networks (ADNs)hybrid IGDT‐stochastic approachhybrid refuelling stationswater‐energy nexus |
| spellingShingle | Yasin Pezhmani Morteza Zare Oskouei Navid Rezaei Hasan Mehrjerdi Optimal operation of active distribution networks hosting hybrid hydrogen‐electricity refuelling stations considering water demand under a stochastic‐IGDT approach IET Generation, Transmission & Distribution active distribution networks (ADNs) hybrid IGDT‐stochastic approach hybrid refuelling stations water‐energy nexus |
| title | Optimal operation of active distribution networks hosting hybrid hydrogen‐electricity refuelling stations considering water demand under a stochastic‐IGDT approach |
| title_full | Optimal operation of active distribution networks hosting hybrid hydrogen‐electricity refuelling stations considering water demand under a stochastic‐IGDT approach |
| title_fullStr | Optimal operation of active distribution networks hosting hybrid hydrogen‐electricity refuelling stations considering water demand under a stochastic‐IGDT approach |
| title_full_unstemmed | Optimal operation of active distribution networks hosting hybrid hydrogen‐electricity refuelling stations considering water demand under a stochastic‐IGDT approach |
| title_short | Optimal operation of active distribution networks hosting hybrid hydrogen‐electricity refuelling stations considering water demand under a stochastic‐IGDT approach |
| title_sort | optimal operation of active distribution networks hosting hybrid hydrogen electricity refuelling stations considering water demand under a stochastic igdt approach |
| topic | active distribution networks (ADNs) hybrid IGDT‐stochastic approach hybrid refuelling stations water‐energy nexus |
| url | https://doi.org/10.1049/gtd2.12752 |
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