Wide-area coherency identification of generators in interconnected power systems with renewables
Identification of coherent generators (CGs) in power systems is one of the key steps in determining controlled islanding strategies. In this study, a wide-area measurement system (WAMS) and agglomerative hierarchical clustering (AHC) algorithm based coherency identification method is presented for i...
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| Vydané v: | IET generation, transmission & distribution Ročník 11; číslo 18; s. 4444 - 4455 |
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| Jazyk: | English |
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The Institution of Engineering and Technology
21.12.2017
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| ISSN: | 1751-8687, 1751-8695 |
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| Abstract | Identification of coherent generators (CGs) in power systems is one of the key steps in determining controlled islanding strategies. In this study, a wide-area measurement system (WAMS) and agglomerative hierarchical clustering (AHC) algorithm based coherency identification method is presented for interconnected power systems with aggregated renewable sources. First, the trajectories measured by WAMS are transformed to the centre of inertia based ones for better representing the dynamic behaviour of a given power system, and ten trajectory dissimilarity indexes are presented for determining the similarity of the trajectories of any two generators. Second, a CRITIC (CRiteria Importance Through Intercriteria Correlation) based method, in which entropy and the Spearman's rank correlation coefficient are integrated for reflecting the differences and correlations among multiple indexes, respectively, is presented to integrate the trajectory dissimilarity indexes. Next, the AHC algorithm is utilised to identify CGs. Finally, a modified New England–New York interconnected power system with a large number of renewables, a simplified actual Western Interconnection power system in North America and the eastern part of Guangdong power system in China with a recorded oscillation event happened are utilised to demonstrate the proposed wide-area coherency identification methodology. |
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| AbstractList | Identification of coherent generators (CGs) in power systems is one of the key steps in determining controlled islanding strategies. In this study, a wide‐area measurement system (WAMS) and agglomerative hierarchical clustering (AHC) algorithm based coherency identification method is presented for interconnected power systems with aggregated renewable sources. First, the trajectories measured by WAMS are transformed to the centre of inertia based ones for better representing the dynamic behaviour of a given power system, and ten trajectory dissimilarity indexes are presented for determining the similarity of the trajectories of any two generators. Second, a CRITIC (CRiteria Importance Through Intercriteria Correlation) based method, in which entropy and the Spearman's rank correlation coefficient are integrated for reflecting the differences and correlations among multiple indexes, respectively, is presented to integrate the trajectory dissimilarity indexes. Next, the AHC algorithm is utilised to identify CGs. Finally, a modified New England–New York interconnected power system with a large number of renewables, a simplified actual Western Interconnection power system in North America and the eastern part of Guangdong power system in China with a recorded oscillation event happened are utilised to demonstrate the proposed wide‐area coherency identification methodology. |
| Author | Ding, Yi Lin, Zhenzhi Wen, Fushuan Xue, Yusheng |
| Author_xml | – sequence: 1 givenname: Zhenzhi surname: Lin fullname: Lin, Zhenzhi organization: 1School of Electrical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China – sequence: 2 givenname: Fushuan surname: Wen fullname: Wen, Fushuan email: fushuan.wen@gmail.com organization: 2Department of Electrical & Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei – sequence: 3 givenname: Yi surname: Ding fullname: Ding, Yi organization: 1School of Electrical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China – sequence: 4 givenname: Yusheng surname: Xue fullname: Xue, Yusheng organization: 3State Grid EPRI, Nanjing 210003, People's Republic of China |
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| Cites_doi | 10.1109/TEC.2015.2431258 10.1145/1247480.1247546 10.1109/TPWRS.2005.851911 10.1016/0305-0548(94)00059-H 10.1007/s40565-016-0215-6 10.1109/TPWRS.2014.2368078 10.1109/TPWRS.2010.2103369 10.1109/PESGM.2016.7741772 10.17775/CSEEJPES.2016.00018 10.1109/TPWRS.2013.2279881 10.1049/iet-gtd.2012.0091 10.1109/MPE.2015.2432372 10.1049/iet-gtd.2014.0865 10.1109/TPWRS.2012.2217511 10.1109/TPWRS.2010.2099672 |
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| Keywords | renewable energy sources coherent generator identification wide-area measurement system North America wide-area coherency identification Spearman's rank correlation coefficient New England–New York interconnected power system entropy Western Interconnection power system interconnected power systems aggregated renewable sources coherency identification method power system interconnection criteria importance through intercriteria correlation WAMS oscillation islanding strategies agglomerative hierarchical clustering algorithm widearea coherency identification methodology Guangdong power system |
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| SubjectTerms | agglomerative hierarchical clustering algorithm aggregated renewable sources coherency identification method coherent generator identification criteria importance through intercriteria correlation entropy Guangdong power system interconnected power systems islanding strategies New England–New York interconnected power system North America oscillation power system interconnection renewable energy sources Spearman's rank correlation coefficient Special Issue: New Trends in Wide-Area Monitoring and Control of Power Systems with Large Scale Renewables WAMS Western Interconnection power system widearea coherency identification methodology wide‐area coherency identification wide‐area measurement system |
| Title | Wide-area coherency identification of generators in interconnected power systems with renewables |
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