Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems
The impact of Type 4 wind turbine generator (WTG)-based 10 million megawatt clusters (TMMC) on small-signal dynamics of power systems was investigated using the second-generation generic models (GM) of Western Electricity Coordinating Council (WECC). A WTG participation index (WTG PI) was defined to...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/6/1486 |
| _version_ | 1828116040256585728 |
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| author | Wuhui Chen Zaixing Teng Junhua Zhao Jing Qiu |
| author_facet | Wuhui Chen Zaixing Teng Junhua Zhao Jing Qiu |
| author_sort | Wuhui Chen |
| collection | DOAJ |
| description | The impact of Type 4 wind turbine generator (WTG)-based 10 million megawatt clusters (TMMC) on small-signal dynamics of power systems was investigated using the second-generation generic models (GM) of Western Electricity Coordinating Council (WECC). A WTG participation index (WTG PI) was defined to investigate the impact of Type 4 WTGs on the traditional interarea electromechanical modes. To identify the new electromechanical modes dominated by Type 4 WTGs, an identification factor (IF) was also defined using participation factors. Given the increasing penetration of Type 4 WTGs replacing synchronous generators, the changed law of damping and frequencies of the traditional interarea modes was also investigated using the WTG PI. One new type of electromechanical mode dominated by Type 4 WTGs was identified by using the defined IF. These new modes can be divided into two categories: strong-interaction modes and weak-interaction modes, depending on the number of participating WTGs. The strong-interaction modes dominated by Type 4 WTGs can result in widely spread power oscillations in power systems. The results of small-signal analysis were validated by time domain simulation and mode detection. |
| first_indexed | 2024-04-11T12:49:51Z |
| format | Article |
| id | doaj.art-70141079346e461c914b3abb0137452a |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:49:51Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-70141079346e461c914b3abb0137452a2022-12-22T04:23:14ZengMDPI AGEnergies1996-10732018-06-01116148610.3390/en11061486en11061486Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power SystemsWuhui Chen0Zaixing Teng1Junhua Zhao2Jing Qiu3School of Electrical and Information Engineering, The Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, The Jiangsu University, Zhenjiang 212013, ChinaSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518100, ChinaSchool of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, AustraliaThe impact of Type 4 wind turbine generator (WTG)-based 10 million megawatt clusters (TMMC) on small-signal dynamics of power systems was investigated using the second-generation generic models (GM) of Western Electricity Coordinating Council (WECC). A WTG participation index (WTG PI) was defined to investigate the impact of Type 4 WTGs on the traditional interarea electromechanical modes. To identify the new electromechanical modes dominated by Type 4 WTGs, an identification factor (IF) was also defined using participation factors. Given the increasing penetration of Type 4 WTGs replacing synchronous generators, the changed law of damping and frequencies of the traditional interarea modes was also investigated using the WTG PI. One new type of electromechanical mode dominated by Type 4 WTGs was identified by using the defined IF. These new modes can be divided into two categories: strong-interaction modes and weak-interaction modes, depending on the number of participating WTGs. The strong-interaction modes dominated by Type 4 WTGs can result in widely spread power oscillations in power systems. The results of small-signal analysis were validated by time domain simulation and mode detection.http://www.mdpi.com/1996-1073/11/6/1486generic model (GM)wind turbine generators (WTGs)damping ratiosmall-signal stability |
| spellingShingle | Wuhui Chen Zaixing Teng Junhua Zhao Jing Qiu Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems Energies generic model (GM) wind turbine generators (WTGs) damping ratio small-signal stability |
| title | Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems |
| title_full | Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems |
| title_fullStr | Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems |
| title_full_unstemmed | Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems |
| title_short | Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems |
| title_sort | small signal performance of type 4 wind turbine generator based clusters in power systems |
| topic | generic model (GM) wind turbine generators (WTGs) damping ratio small-signal stability |
| url | http://www.mdpi.com/1996-1073/11/6/1486 |
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