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access icon free Wide-area coherency identification of generators in interconnected power systems with renewables

  • Author(s): Zhenzhi Lin 1 1 ; Fushuan Wen 1, 2 1, 2 ; Yi Ding 1 1 ; Yusheng Xue 3 3
    • View affiliations
    • Affiliations: 1: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China ;
      2: Department of Electrical & Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei ;
      3: State Grid EPRI, Nanjing 210003, People's Republic of China
  • Source: Volume 11, Issue 18, 21 December 2017, p. 4444 – 4455
    DOI:  10.1049/iet-gtd.2016.2053 , Print ISSN 1751-8687, Online ISSN 1751-8695
© The Institution of Engineering and Technology
Received 22/12/2016, Accepted 23/03/2017, Revised 05/03/2017, Published 29/03/2017

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.

Inspec keywords: power system interconnection; renewable energy sources; entropy

Other keywords: coherent generator identification; wide-area coherency identification; coherency identification method; Guangdong power system; agglomerative hierarchical clustering algorithm; Spearman's rank correlation coefficient; widearea coherency identification methodology; Western Interconnection power system; entropy; aggregated renewable sources; wide-area measurement system; oscillation; New England–New York interconnected power system; criteria importance through intercriteria correlation; WAMS; North America; islanding strategies; interconnected power systems

Subjects: Energy resources and fuels; Energy resources

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