Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Controlled islanding schemes for interconnected power systems based on coherent generator group identification and wide-area measurements
Author:
Affiliation:

1. School of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China 2. Department of Electrical & Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, 1410, Brunei 3. School of Science and Engineering, Chinese University of Hong Kong (Shenzhen), Shenzhen, 518172, China 4. State Grid Electric Power Research Institute, Nanjing, 211106, China

Fund Project:

National Key Research Program of China (No. 2016YFB0900105),?National Natural Science Foundation of China (No. 51377005) and Specialized Research Fund for the Doctoral Program of Higher Education (No. 20120101110112)

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    Abstract:

    A reasonable islanding strategy of a power system is the final resort for preventing a cascading failure and/or a large-area blackout from occurrence. In recent years, the applications of wide area measurement systems (WAMS) in emergency control of power systems are increasing. Therefore, a new WAMS-based controlled islanding scheme for interconnected power systems is proposed. First, four similarity indexes associated with the trajectories of generators are defined, and the weights of these four indexes are determined by using the well-developed entropy theory. Then, a coherency identification algorithm based on hierarchical clustering is presented to determine the coherent groups of generators. Secondly, an optimization model for determining controlled islanding schemes based on the coherent groups of generators is developed to seek the optimal cutset. Finally, a 16-generator 68-bus power system and a reduced WECC 29-unit 179-bus power system are employed to demonstrate the proposed WAMS-based controlled islanding schemes, and comparisons with existing slow coherency based controlled islanding strategies are also carried out.

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  • Received:
  • Revised:
  • Adopted:
  • Online: July 27,2016
  • Published: