Intentional Controlled Islanding Strategy for Wind Power Plant Integrated Systems
The concept of intentional controlled islanding (ICI) is introduced as a proactive measure to safeguard the power system against blackouts in the event of significant disturbances. It involves strategically partitioning the system into self-healing islands, thereby mitigating the impact of such dist...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/12/4572 |
| _version_ | 1797595093967831040 |
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| author | Mehdi Babaei Ahmed Abu-Siada |
| author_facet | Mehdi Babaei Ahmed Abu-Siada |
| author_sort | Mehdi Babaei |
| collection | DOAJ |
| description | The concept of intentional controlled islanding (ICI) is introduced as a proactive measure to safeguard the power system against blackouts in the event of significant disturbances. It involves strategically partitioning the system into self-healing islands, thereby mitigating the impact of such disturbances. This study introduces a new framework for creating stable, controlled islands in power systems with large-scale wind power plants. The proposed islanding strategy takes into account the impact of wind power plants on the coherency grouping of generators as a constraint in the ICI problem. The proposed algorithm employs the Virtual Synchronous Motion Equation (VSME) model of asynchronous generators to replace wind power plants in power systems and groups all generators, including synchronous generators and wind turbine generators, based on their dynamic coupling. Support Vector Clustering is employed in the ICI problem to determine the coherent generator clusters as the cores of the formed islands. The algorithm can identify the optimal number of islands without prior information about the number of clusters. In this study, a Mixed Integer Linear Programming (MILP) model is formulated to address the ICI problem with the objective of minimising the power imbalance in each island after splitting while ensuring the transient stability and dynamic frequency stability of ICI. Simulation results on modified 39-bus and 118-bus test power systems demonstrate that integrating a Virtual Inertia Controller into the wind-integrated power systems results in a high-inertia power system that behaves similarly to a conventional power system with only synchronous generators during the islanding procedure. |
| first_indexed | 2024-03-11T02:31:34Z |
| format | Article |
| id | doaj.art-4aa533b3232346389ec5f25b0794e73c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T02:31:34Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4aa533b3232346389ec5f25b0794e73c2023-11-18T10:11:14ZengMDPI AGEnergies1996-10732023-06-011612457210.3390/en16124572Intentional Controlled Islanding Strategy for Wind Power Plant Integrated SystemsMehdi Babaei0Ahmed Abu-Siada1School of Electrical Engineering, Computing, Mathematical Sciences, Curtin University, Bentley, WA 6102, AustraliaSchool of Electrical Engineering, Computing, Mathematical Sciences, Curtin University, Bentley, WA 6102, AustraliaThe concept of intentional controlled islanding (ICI) is introduced as a proactive measure to safeguard the power system against blackouts in the event of significant disturbances. It involves strategically partitioning the system into self-healing islands, thereby mitigating the impact of such disturbances. This study introduces a new framework for creating stable, controlled islands in power systems with large-scale wind power plants. The proposed islanding strategy takes into account the impact of wind power plants on the coherency grouping of generators as a constraint in the ICI problem. The proposed algorithm employs the Virtual Synchronous Motion Equation (VSME) model of asynchronous generators to replace wind power plants in power systems and groups all generators, including synchronous generators and wind turbine generators, based on their dynamic coupling. Support Vector Clustering is employed in the ICI problem to determine the coherent generator clusters as the cores of the formed islands. The algorithm can identify the optimal number of islands without prior information about the number of clusters. In this study, a Mixed Integer Linear Programming (MILP) model is formulated to address the ICI problem with the objective of minimising the power imbalance in each island after splitting while ensuring the transient stability and dynamic frequency stability of ICI. Simulation results on modified 39-bus and 118-bus test power systems demonstrate that integrating a Virtual Inertia Controller into the wind-integrated power systems results in a high-inertia power system that behaves similarly to a conventional power system with only synchronous generators during the islanding procedure.https://www.mdpi.com/1996-1073/16/12/4572intentional controlled islandinggenerator coherencyvirtual inertiadoubly fed induction generator |
| spellingShingle | Mehdi Babaei Ahmed Abu-Siada Intentional Controlled Islanding Strategy for Wind Power Plant Integrated Systems Energies intentional controlled islanding generator coherency virtual inertia doubly fed induction generator |
| title | Intentional Controlled Islanding Strategy for Wind Power Plant Integrated Systems |
| title_full | Intentional Controlled Islanding Strategy for Wind Power Plant Integrated Systems |
| title_fullStr | Intentional Controlled Islanding Strategy for Wind Power Plant Integrated Systems |
| title_full_unstemmed | Intentional Controlled Islanding Strategy for Wind Power Plant Integrated Systems |
| title_short | Intentional Controlled Islanding Strategy for Wind Power Plant Integrated Systems |
| title_sort | intentional controlled islanding strategy for wind power plant integrated systems |
| topic | intentional controlled islanding generator coherency virtual inertia doubly fed induction generator |
| url | https://www.mdpi.com/1996-1073/16/12/4572 |
| work_keys_str_mv | AT mehdibabaei intentionalcontrolledislandingstrategyforwindpowerplantintegratedsystems AT ahmedabusiada intentionalcontrolledislandingstrategyforwindpowerplantintegratedsystems |