Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G
The previously proposed algorithms for preventing cascading failures, which lead to a blackout event, involve specific load shedding schemes, which introduce incurring losses in the power system network. In this paper, a cooperative control based algorithm using a vehicle to grid (V2G) technology ba...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8854072/ |
| _version_ | 1818935923116605440 |
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| author | Muhammad Adnan Mansoor Ali Anas Basalamah Muhammad Tariq |
| author_facet | Muhammad Adnan Mansoor Ali Anas Basalamah Muhammad Tariq |
| author_sort | Muhammad Adnan |
| collection | DOAJ |
| description | The previously proposed algorithms for preventing cascading failures, which lead to a blackout event, involve specific load shedding schemes, which introduce incurring losses in the power system network. In this paper, a cooperative control based algorithm using a vehicle to grid (V2G) technology based on a fuzzy logic approach is proposed to prevent cascading failures without loss incurrence. The algorithm is implemented on a standard IEEE-30 bus system, and it uses mathematical combinations heuristically to identify the critical nodes through the use of a self-propagation graph to dispatch the optimum power from V2G. For the enhancement of computational speed, a network operator considers only those vulnerable nodes, which are identified by a self-propagating graph. Through this, a network operator can easily detect critical nodes by rooting straight to the vulnerable transmission lines in the IEEE-30 bus network. The probabilistic modeling in this paper is performed in such a way that network operators will mitigate cascading failures events (CFEs) after the occurrence of (N -1) and (N -1-1) contingencies/blackout events without performing load shedding. The detailed experimental analysis provides better visualization of the impact of CFEs on power grids to the power network operators and therefore significantly improves the accuracy of taking necessary actions to compensate these CFEs. |
| first_indexed | 2024-12-20T05:27:53Z |
| format | Article |
| id | doaj.art-756b5551fd464d7bb5d7d2841455188b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T05:27:53Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-756b5551fd464d7bb5d7d2841455188b2022-12-21T19:51:50ZengIEEEIEEE Access2169-35362019-01-01714260714262210.1109/ACCESS.2019.29448488854072Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2GMuhammad Adnan0https://orcid.org/0000-0001-5035-7567Mansoor Ali1Anas Basalamah2https://orcid.org/0000-0001-7420-109XMuhammad Tariq3Department of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, PakistanDepartment of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, PakistanDepartment of Computer Engineering, Umm Al Qura University, Makkah, Saudi ArabiaDepartment of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, PakistanThe previously proposed algorithms for preventing cascading failures, which lead to a blackout event, involve specific load shedding schemes, which introduce incurring losses in the power system network. In this paper, a cooperative control based algorithm using a vehicle to grid (V2G) technology based on a fuzzy logic approach is proposed to prevent cascading failures without loss incurrence. The algorithm is implemented on a standard IEEE-30 bus system, and it uses mathematical combinations heuristically to identify the critical nodes through the use of a self-propagation graph to dispatch the optimum power from V2G. For the enhancement of computational speed, a network operator considers only those vulnerable nodes, which are identified by a self-propagating graph. Through this, a network operator can easily detect critical nodes by rooting straight to the vulnerable transmission lines in the IEEE-30 bus network. The probabilistic modeling in this paper is performed in such a way that network operators will mitigate cascading failures events (CFEs) after the occurrence of (N -1) and (N -1-1) contingencies/blackout events without performing load shedding. The detailed experimental analysis provides better visualization of the impact of CFEs on power grids to the power network operators and therefore significantly improves the accuracy of taking necessary actions to compensate these CFEs.https://ieeexplore.ieee.org/document/8854072/Cascading failure eventsvehicle to grid technologyIEEE-30 bus networkfuzzy controller |
| spellingShingle | Muhammad Adnan Mansoor Ali Anas Basalamah Muhammad Tariq Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G IEEE Access Cascading failure events vehicle to grid technology IEEE-30 bus network fuzzy controller |
| title | Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G |
| title_full | Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G |
| title_fullStr | Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G |
| title_full_unstemmed | Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G |
| title_short | Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G |
| title_sort | preventing cascading failure through fuzzy co operative control mechanism using v2g |
| topic | Cascading failure events vehicle to grid technology IEEE-30 bus network fuzzy controller |
| url | https://ieeexplore.ieee.org/document/8854072/ |
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