Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults Contingencies
Cascading overload failures occurred in power systems due to higher penetration of renewable energy resources (RERs), which causes uncertainty in a grid. To overcome these cascading overload failures, proper assessment in the form of load flow balancing and transients stability is required in renewa...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9448030/ |
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| author | Muhammad Adnan Muhammad Gufran Khan Arslan Ahmed Amin Muhammad Rayyan Fazal Wen-Shan Tan Mansoor Ali |
| author_facet | Muhammad Adnan Muhammad Gufran Khan Arslan Ahmed Amin Muhammad Rayyan Fazal Wen-Shan Tan Mansoor Ali |
| author_sort | Muhammad Adnan |
| collection | DOAJ |
| description | Cascading overload failures occurred in power systems due to higher penetration of renewable energy resources (RERs), which causes uncertainty in a grid. To overcome these cascading overload failures, proper assessment in the form of load flow balancing and transients stability is required in renewable integrated power grids (RIPGs). This problem becomes more critical in the occurrence of multiple intervals faults in multiple interconnected RIPGs, which causes the tripping of several RERs. Due to which outages occurred in various transmission lines, which lead the power system to cascading overload failures. To tackle this problem, hybrid probabilistic modeling is proposed in this paper for balancing load flow and an assessment of transients stability in multiple interconnected RIPGs. For balancing of load flow, a smart node transmission network topology is utilized along with integrating a unified power flow controller (UPFC), while transients instabilities are assessed through a UPFC alone. Contrary to the previously proposed algorithms, which are only suitable to compensate network instabilities in case of only a single interval fault, this work is supported by probabilistic modeling to compensate network instabilities under the occurrence of not only a single interval fault but also in case of more severe multiple intervals faults in multiple interconnected RIPGs that will lead the network to cascading failure outages. Simulation results verify that our proposed probabilistic algorithm achieved near an optimal performance by outperforming the existing proposed methodologies, which are only confined to mitigate the effect of network instabilities only in case of single interval fault and fails to address these network instabilities under the occurrence of severe multiple interval faults, which leads the network to cascading failure outages. These simulation results are also validated through an industrial case study performed on a western Denmark transmission network to show the superiority of our proposed algorithm. |
| first_indexed | 2024-12-17T00:18:12Z |
| format | Article |
| id | doaj.art-95a3f598298c4bc8962aeda51dfadfd6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T00:18:12Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-95a3f598298c4bc8962aeda51dfadfd62022-12-21T22:10:38ZengIEEEIEEE Access2169-35362021-01-019822728228710.1109/ACCESS.2021.30871959448030Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults ContingenciesMuhammad Adnan0https://orcid.org/0000-0001-5035-7567Muhammad Gufran Khan1https://orcid.org/0000-0002-2199-1013Arslan Ahmed Amin2https://orcid.org/0000-0001-8035-595XMuhammad Rayyan Fazal3https://orcid.org/0000-0002-2064-4220Wen-Shan Tan4https://orcid.org/0000-0003-2424-7334Mansoor Ali5https://orcid.org/0000-0002-6694-4587Department 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 Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, PakistanDepartment of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, PakistanSchool of Engineering and Advance Engineering Platform, Monash University Malaysia, Subang Jaya, MalaysiaDepartment of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, PakistanCascading overload failures occurred in power systems due to higher penetration of renewable energy resources (RERs), which causes uncertainty in a grid. To overcome these cascading overload failures, proper assessment in the form of load flow balancing and transients stability is required in renewable integrated power grids (RIPGs). This problem becomes more critical in the occurrence of multiple intervals faults in multiple interconnected RIPGs, which causes the tripping of several RERs. Due to which outages occurred in various transmission lines, which lead the power system to cascading overload failures. To tackle this problem, hybrid probabilistic modeling is proposed in this paper for balancing load flow and an assessment of transients stability in multiple interconnected RIPGs. For balancing of load flow, a smart node transmission network topology is utilized along with integrating a unified power flow controller (UPFC), while transients instabilities are assessed through a UPFC alone. Contrary to the previously proposed algorithms, which are only suitable to compensate network instabilities in case of only a single interval fault, this work is supported by probabilistic modeling to compensate network instabilities under the occurrence of not only a single interval fault but also in case of more severe multiple intervals faults in multiple interconnected RIPGs that will lead the network to cascading failure outages. Simulation results verify that our proposed probabilistic algorithm achieved near an optimal performance by outperforming the existing proposed methodologies, which are only confined to mitigate the effect of network instabilities only in case of single interval fault and fails to address these network instabilities under the occurrence of severe multiple interval faults, which leads the network to cascading failure outages. These simulation results are also validated through an industrial case study performed on a western Denmark transmission network to show the superiority of our proposed algorithm.https://ieeexplore.ieee.org/document/9448030/Multiple interconnected renewable integrated power gridtransient stability analysiscascading overload failuressingle and multiple interval faults |
| spellingShingle | Muhammad Adnan Muhammad Gufran Khan Arslan Ahmed Amin Muhammad Rayyan Fazal Wen-Shan Tan Mansoor Ali Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults Contingencies IEEE Access Multiple interconnected renewable integrated power grid transient stability analysis cascading overload failures single and multiple interval faults |
| title | Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults Contingencies |
| title_full | Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults Contingencies |
| title_fullStr | Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults Contingencies |
| title_full_unstemmed | Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults Contingencies |
| title_short | Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults Contingencies |
| title_sort | cascading failures assessment in renewable integrated power grids under multiple faults contingencies |
| topic | Multiple interconnected renewable integrated power grid transient stability analysis cascading overload failures single and multiple interval faults |
| url | https://ieeexplore.ieee.org/document/9448030/ |
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