A hybrid Planning Method for Transmission Network in a Deregulated Enviroment

Zhao Xu, Zhaoyang Dong, Kit Poulsen

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The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using a multi-objective optimization (MOOP) technique, as well as human knowledge, to expand the transmission network in open-access schemes. The method starts with a candidate pool of feasible expansion plans. Consequent selection of the best candidates is carried out through a MOOP approach, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in context of a deregulated system. Human knowledge has been applied in both stages to ensure the selection with practical engineering and management concerns. The expansion plan from MOOP is assessed by reliability criteria before it is finalized. The proposed method has been tested with the IEEE 14-bus system, and relevant analyses and discussions have been presented.
Original languageEnglish
JournalI E E E Transactions on Power Systems
Issue number2
Pages (from-to)925 - 932
Publication statusPublished - 2006


  • Eletricity market
  • multi-objective optimization
  • transmission planning
  • goal programming

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