Solving reactive power control problems in a stressed power system network using evolutionary computation technique

  • Authors:

  • N. R. H. Abdullah;I. Musirin;M. M. Othman;T. K. A. Rahman

  • Affiliations:

  • Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pahang, Malaysia;Centre of Electrical Power Engineering Studies, Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Centre of Electrical Power Engineering Studies, Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Centre of Electrical Power Engineering Studies, Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

  • Venue:
  • AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
  • Year:
  • 2009

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Abstract

Lack in reactive power support in a power system network has led to low voltage level at a load bus. This can also occur in a stressed power system network despite no contingency is subjected to the system. Therefore, reactive power support must be properly established in the system in order to secure the system from possible voltage collapse occurrence. This paper presents Evolutionary Computing technique for solving reactive power control (RPC) problem in the attempt to enhance voltage stability, while minimizing transmission loss and maintaining voltage level at an acceptable level. In this study, evolutionary programming (EP) was chosen as the Evolutionary Computing (EC) technique for solving the RPC; taking into consideration two separate objective functions. Static voltage stability enhancement and minimization of real power loss are implemented separately on a reliability test system. Comparative studies performed with respect to Artificial Immune System (AIS) have highlighted that EP outperformed AIS for both objective functions.