A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection Systems
The recent efforts to extend measurement and communication infrastructures in power grids have brought about new potentials for a more efficient and optimized grid operation using the data which become available. Due to this integration, on the other hand, not only the network expansion and planning...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Communications and Information Society (CCIS)
2018-03-01
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| Series: | Journal of Communications Software and Systems |
| Subjects: | |
| Online Access: | https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/444 |
| _version_ | 1818564845839056896 |
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| author | Halil Alper Tokel Rana Al Halaseh Gholamreza Alirezaei Rudolf Mathar |
| author_facet | Halil Alper Tokel Rana Al Halaseh Gholamreza Alirezaei Rudolf Mathar |
| author_sort | Halil Alper Tokel |
| collection | DOAJ |
| description | The recent efforts to extend measurement and communication infrastructures in power grids have brought about new potentials for a more efficient and optimized grid operation using the data which become available. Due to this integration, on the other hand, not only the network expansion and planning but also the development of new applications must be carried out under consideration of the interdependencies between the power grid and the underlying communication network. In this work, we present a co-simulation environment and tool chain to enable integrated planning and subsequent performance analysis of a wide area measurement system. In the first part of the paper, we investigate the performance of PMU-based state estimation techniques under several power system and communication network scenarios. In the second part of the paper, furthermore, the presented setup is extended for co-simulative investigations of the machine learning-based fault detection and classification techniques in power systems. The presented results not only validate the developed software solution for similar research studies but also scrutinize the impact of communication network performance on power system state estimation and PMU-based decision-making for fault detection and classification. |
| first_indexed | 2024-12-14T01:33:51Z |
| format | Article |
| id | doaj.art-98a7585fc14945edaf5919eb32f5c070 |
| institution | Directory Open Access Journal |
| issn | 1845-6421 1846-6079 |
| language | English |
| last_indexed | 2024-12-14T01:33:51Z |
| publishDate | 2018-03-01 |
| publisher | Croatian Communications and Information Society (CCIS) |
| record_format | Article |
| series | Journal of Communications Software and Systems |
| spelling | doaj.art-98a7585fc14945edaf5919eb32f5c0702022-12-21T23:21:57ZengCroatian Communications and Information Society (CCIS)Journal of Communications Software and Systems1845-64211846-60792018-03-011414050A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection SystemsHalil Alper TokelRana Al HalasehGholamreza AlirezaeiRudolf MatharThe recent efforts to extend measurement and communication infrastructures in power grids have brought about new potentials for a more efficient and optimized grid operation using the data which become available. Due to this integration, on the other hand, not only the network expansion and planning but also the development of new applications must be carried out under consideration of the interdependencies between the power grid and the underlying communication network. In this work, we present a co-simulation environment and tool chain to enable integrated planning and subsequent performance analysis of a wide area measurement system. In the first part of the paper, we investigate the performance of PMU-based state estimation techniques under several power system and communication network scenarios. In the second part of the paper, furthermore, the presented setup is extended for co-simulative investigations of the machine learning-based fault detection and classification techniques in power systems. The presented results not only validate the developed software solution for similar research studies but also scrutinize the impact of communication network performance on power system state estimation and PMU-based decision-making for fault detection and classification.https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/444cosimulationpower systemcommunication networkmachine learningfault detectionwide area measurement and protectionneural network |
| spellingShingle | Halil Alper Tokel Rana Al Halaseh Gholamreza Alirezaei Rudolf Mathar A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection Systems Journal of Communications Software and Systems cosimulation power system communication network machine learning fault detection wide area measurement and protection neural network |
| title | A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection Systems |
| title_full | A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection Systems |
| title_fullStr | A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection Systems |
| title_full_unstemmed | A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection Systems |
| title_short | A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection Systems |
| title_sort | co simulation framework for integrated planning and analysis of wide area measurement and protection systems |
| topic | cosimulation power system communication network machine learning fault detection wide area measurement and protection neural network |
| url | https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/444 |
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