An advanced fuzzy C-mean algorithm for regional clustering of interconnected systems

  • Authors:

  • Sang-Hyuk Lee;Jin-Ho Kim;Se-Hwan Jang;Jong-Bae Park;Young-Hwan Jeon;Sung-Yong Sohn

  • Affiliations:

  • Sch. of Mech. Eng., Changwon Natl. Univ., Korea and Sch. of Elect. Eng., Kyungwon Univ., Korea and Sch. of Elect. Eng., Pusan Natl. Univ., Korea and School of Elect. Eng., Konkuk Univ., Seoul, Kor ...;Sch. of Mech. Eng., Changwon Natl. Univ., Korea and Sch. of Elect. Eng., Kyungwon Univ., Korea and Sch. of Elect. Eng., Pusan Natl. Univ., Korea and School of Elect. Eng., Konkuk Univ., Seoul, Kor ...;Sch. of Mech. Eng., Changwon Natl. Univ., Korea and Sch. of Elect. Eng., Kyungwon Univ., Korea and Sch. of Elect. Eng., Pusan Natl. Univ., Korea and School of Elect. Eng., Konkuk Univ., Seoul, Kor ...;Sch. of Mech. Eng., Changwon Natl. Univ., Korea and Sch. of Elect. Eng., Kyungwon Univ., Korea and Sch. of Elect. Eng., Pusan Natl. Univ., Korea and School of Elect. Eng., Konkuk Univ., Seoul, Kor ...;Sch. of Mech. Eng., Changwon Natl. Univ., Korea and Sch. of Elect. Eng., Kyungwon Univ., Korea and Sch. of Elect. Eng., Pusan Natl. Univ., Korea and School of Elect. Eng., Konkuk Univ., Seoul, Kor ...;Sch. of Mech. Eng., Changwon Natl. Univ., Korea and Sch. of Elect. Eng., Kyungwon Univ., Korea and Sch. of Elect. Eng., Pusan Natl. Univ., Korea and School of Elect. Eng., Konkuk Univ., Seoul, Kor ...

  • Venue:
  • PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
  • Year:
  • 2007

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Abstract

An advanced fuzzy C-mean(FCM) algorithm for the efficient regional clustering of multi-nodes interconnected systems is presented in this paper. Owing to physical characteristics of the interconnected systems, nodes or points in the interconnected systems have their own information indicating the network-related characteristics of the system. However, classification for the whole system into distinct several subsystems based on a similarity measure is typically needed for the efficient operation of the whole system. In this paper, therefore, a new regional clustering algorithm for interconnected systems based on the modified FCM is proposed. Moreover, the regional information on the system are taken into account in order to properly address the geometric misclustering problem such as grouping geometrically distant nodes with similar measures into a common cluster. We have presented that the proposed algorithm has produced proper classification for the interconnected system and the results are demonstrated in the example of IEEE 39-bus interconnected electricity system.