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Congestion Management In Deregulated Power System Using Heuristic Search Algorithm

Author

Listed:
  • Vishal P Kalas
  • Dhanush S
  • Kallappa A
  • Kumudeesh K C

Abstract

The impact of restructuring in the field of communication sector has brought an evolutionary change in power sector too. This revolutionary idea has brought about competition in this sector with an aim of reduction in the electricity price. The competitive environment not only benefits the utilities and customers however it kindles some of the technical issues, typical one being the transmission congestion. It is considered to be tenacious since it admonish system security and may result in inflation of electricity prices effecting in feeble market condition. The explication to the dispute of congestion has been furnished in this paper. To minimize the congestion cost, an effective multi objective approach is proposed to endorse generator rescheduling and FACTS technology using a metaheurisitc optimization algorithm, symbiotic organic search algorithm. The choice of most sensitive generators to reschedule real and reactive power is realized using real power transmission congestion distribution factor

Suggested Citation

  • Vishal P Kalas & Dhanush S & Kallappa A & Kumudeesh K C, 2018. "Congestion Management In Deregulated Power System Using Heuristic Search Algorithm," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(6), pages 1061-1065, May.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit1846201
    Note: Article URL: https://ijsrcseit.com/CSEIT1846201
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