Electric vehicles reactive power management and reconfiguration of distribution system to minimise losses
This study investigates the optimal operation of distribution feeder reconfiguration (DFR) strategy in smart distribution system integrated with electric vehicles (EVs) and wind power generation. A two‐stage framework is proposed for real and reactive power management and DFR. In the first stage, de...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-12-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-gtd.2020.0375 |
| _version_ | 1817996016592355328 |
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| author | Jyotsna Singh Rajive Tiwari |
| author_facet | Jyotsna Singh Rajive Tiwari |
| author_sort | Jyotsna Singh |
| collection | DOAJ |
| description | This study investigates the optimal operation of distribution feeder reconfiguration (DFR) strategy in smart distribution system integrated with electric vehicles (EVs) and wind power generation. A two‐stage framework is proposed for real and reactive power management and DFR. In the first stage, demand dispatch of EVs is coordinated to utilise available wind power and minimise the total load variations. In the second stage, a comprehensive problem formulation is developed to minimise the losses in the system with simultaneous EVs reactive power management and DFR. A genetic algorithm is used to solve this two‐stage optimisation problem. A case study of 33‐bus radial distribution system is presented to highlight the efficacy of proposed approach. The obtained results are quantitatively assessed in terms of losses and node voltages. A comparative benchmarking analysis is presented to substantiate the role of DFR and reactive power capability of EVs in improving the system performance. |
| first_indexed | 2024-04-14T02:15:48Z |
| format | Article |
| id | doaj.art-c7d8f1fe287b452db65320f08b361ed6 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-14T02:15:48Z |
| publishDate | 2020-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-c7d8f1fe287b452db65320f08b361ed62022-12-22T02:18:12ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952020-12-0114256285629310.1049/iet-gtd.2020.0375Electric vehicles reactive power management and reconfiguration of distribution system to minimise lossesJyotsna Singh0Rajive Tiwari1Department of Electrical EngineeringMalaviya National Institute of TechnologyJaipurIndiaDepartment of Electrical EngineeringMalaviya National Institute of TechnologyJaipurIndiaThis study investigates the optimal operation of distribution feeder reconfiguration (DFR) strategy in smart distribution system integrated with electric vehicles (EVs) and wind power generation. A two‐stage framework is proposed for real and reactive power management and DFR. In the first stage, demand dispatch of EVs is coordinated to utilise available wind power and minimise the total load variations. In the second stage, a comprehensive problem formulation is developed to minimise the losses in the system with simultaneous EVs reactive power management and DFR. A genetic algorithm is used to solve this two‐stage optimisation problem. A case study of 33‐bus radial distribution system is presented to highlight the efficacy of proposed approach. The obtained results are quantitatively assessed in terms of losses and node voltages. A comparative benchmarking analysis is presented to substantiate the role of DFR and reactive power capability of EVs in improving the system performance.https://doi.org/10.1049/iet-gtd.2020.0375smart distribution systemwind power generationtwo‐stage frameworkDFRdemand dispatchwind power |
| spellingShingle | Jyotsna Singh Rajive Tiwari Electric vehicles reactive power management and reconfiguration of distribution system to minimise losses IET Generation, Transmission & Distribution smart distribution system wind power generation two‐stage framework DFR demand dispatch wind power |
| title | Electric vehicles reactive power management and reconfiguration of distribution system to minimise losses |
| title_full | Electric vehicles reactive power management and reconfiguration of distribution system to minimise losses |
| title_fullStr | Electric vehicles reactive power management and reconfiguration of distribution system to minimise losses |
| title_full_unstemmed | Electric vehicles reactive power management and reconfiguration of distribution system to minimise losses |
| title_short | Electric vehicles reactive power management and reconfiguration of distribution system to minimise losses |
| title_sort | electric vehicles reactive power management and reconfiguration of distribution system to minimise losses |
| topic | smart distribution system wind power generation two‐stage framework DFR demand dispatch wind power |
| url | https://doi.org/10.1049/iet-gtd.2020.0375 |
| work_keys_str_mv | AT jyotsnasingh electricvehiclesreactivepowermanagementandreconfigurationofdistributionsystemtominimiselosses AT rajivetiwari electricvehiclesreactivepowermanagementandreconfigurationofdistributionsystemtominimiselosses |