Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration
Renewable energy sources and EV growth brings new challenges for grid stabilization. Smart grid techniques are required to reconfigure and compensate for load fluctuation and stabilize power losses and voltage fluctuation. Numerical tools are available to equip the smart grid to deal with such chall...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/19/3221 |
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| author | Farrukh Nagi Aidil Azwin Navaamsini Boopalan Agileswari K. Ramasamy Marayati Marsadek Syed Khaleel Ahmed |
| author_facet | Farrukh Nagi Aidil Azwin Navaamsini Boopalan Agileswari K. Ramasamy Marayati Marsadek Syed Khaleel Ahmed |
| author_sort | Farrukh Nagi |
| collection | DOAJ |
| description | Renewable energy sources and EV growth brings new challenges for grid stabilization. Smart grid techniques are required to reconfigure and compensate for load fluctuation and stabilize power losses and voltage fluctuation. Numerical tools are available to equip the smart grid to deal with such challenges. Distribution Feeder reconfiguration and reactive voltage injection to the disturbed grid are some of the techniques employed for the purpose. However, either reconfiguration or injection alone is used commonly for this purpose. In this study, both techniques are applied to EV penetration as load and compared. A balanced IEEE 33 Radial network is used in this study and selected branches with high power losses are targeted for the reactive voltage injection and Minimum Spanning tree techniques (MST). EV charging loads are usually modelled with time base distribution which requires times base power flow analysis for reactive power injection. A comparison between coordinated, reconfiguration, and reactive voltage injection shows differences in power losses, voltage distortion, and cost saving. The analysis is carried out with an integer linear programming technique for coordinated charging, a minimum spanning tree for network reconfiguration, and genetic optimization for reactive power injection. Besides, all power flow analyses are carried out with the Backward/Forward sweep method. The information would help lowering power losses, grid stabilization, and charging station infrastructure planning. |
| first_indexed | 2024-03-09T21:49:58Z |
| format | Article |
| id | doaj.art-86bd43062e8c424c8e8eae104e603152 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T21:49:58Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-86bd43062e8c424c8e8eae104e6031522023-11-23T20:08:23ZengMDPI AGElectronics2079-92922022-10-011119322110.3390/electronics11193221Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle PenetrationFarrukh Nagi0Aidil Azwin1Navaamsini Boopalan2Agileswari K. Ramasamy3Marayati Marsadek4Syed Khaleel Ahmed5Institute of Power Engineering, Universiti Tenaga Nasional, Kajang 4300, Selangor, MalaysiaDepartment of Electrical & Electronic Engineering, Universiti Tenaga Nasional, Kajang 4300, Selangor, MalaysiaDepartment of Electrical & Electronic Engineering, Universiti Tenaga Nasional, Kajang 4300, Selangor, MalaysiaDepartment of Electrical & Electronic Engineering, Universiti Tenaga Nasional, Kajang 4300, Selangor, MalaysiaInstitute of Power Engineering, Universiti Tenaga Nasional, Kajang 4300, Selangor, MalaysiaC3, Alsa Towers, EVR Periyar Salai, Chetpet, Chennai 600010, IndiaRenewable energy sources and EV growth brings new challenges for grid stabilization. Smart grid techniques are required to reconfigure and compensate for load fluctuation and stabilize power losses and voltage fluctuation. Numerical tools are available to equip the smart grid to deal with such challenges. Distribution Feeder reconfiguration and reactive voltage injection to the disturbed grid are some of the techniques employed for the purpose. However, either reconfiguration or injection alone is used commonly for this purpose. In this study, both techniques are applied to EV penetration as load and compared. A balanced IEEE 33 Radial network is used in this study and selected branches with high power losses are targeted for the reactive voltage injection and Minimum Spanning tree techniques (MST). EV charging loads are usually modelled with time base distribution which requires times base power flow analysis for reactive power injection. A comparison between coordinated, reconfiguration, and reactive voltage injection shows differences in power losses, voltage distortion, and cost saving. The analysis is carried out with an integer linear programming technique for coordinated charging, a minimum spanning tree for network reconfiguration, and genetic optimization for reactive power injection. Besides, all power flow analyses are carried out with the Backward/Forward sweep method. The information would help lowering power losses, grid stabilization, and charging station infrastructure planning.https://www.mdpi.com/2079-9292/11/19/3221distribution feeder reconfigurationminimum spanning treereactive power injectionforward/backward sweep power analysisIEEE 33 radial bus networkmixed integer linear |
| spellingShingle | Farrukh Nagi Aidil Azwin Navaamsini Boopalan Agileswari K. Ramasamy Marayati Marsadek Syed Khaleel Ahmed Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration Electronics distribution feeder reconfiguration minimum spanning tree reactive power injection forward/backward sweep power analysis IEEE 33 radial bus network mixed integer linear |
| title | Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration |
| title_full | Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration |
| title_fullStr | Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration |
| title_full_unstemmed | Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration |
| title_short | Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration |
| title_sort | comparison of grid reactive voltage regulation with reconfiguration network for electric vehicle penetration |
| topic | distribution feeder reconfiguration minimum spanning tree reactive power injection forward/backward sweep power analysis IEEE 33 radial bus network mixed integer linear |
| url | https://www.mdpi.com/2079-9292/11/19/3221 |
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