A Framework for Transmission Planning in a Competitive Electricity Market

Lu, M., Dong, Z. Y. and Saha, T. K. (2005). A Framework for Transmission Planning in a Competitive Electricity Market. In: IEEE Power Engineering Society, Proceedings of the 2005 IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific. 2005 IEEE/PES Transmission and Distribution Conference & Exhibition: Asia Pacific, Dalian, China, (). 14-18 August, 2005.

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Author Lu, M.
Dong, Z. Y.
Saha, T. K.
Title of paper A Framework for Transmission Planning in a Competitive Electricity Market
Conference name 2005 IEEE/PES Transmission and Distribution Conference & Exhibition: Asia Pacific
Conference location Dalian, China
Conference dates 14-18 August, 2005
Proceedings title Proceedings of the 2005 IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific
Place of Publication Dalian, China
Publisher IEEE
Publication Year 2005
Sub-type Fully published paper
ISBN 0-7803-9115-2
Editor IEEE Power Engineering Society
Volume CD
Total pages 6
Collection year 2005
Language eng
Abstract/Summary In this paper, a framework for optimal transmission system expansion planning in a competitive electricity market environment has been proposed. Open access transmission has created a deregulated power market and brought new challenges to system planning. The goal of transmission planning is to determine an optimal planning strategy for the transmission company. From the planner's view, planning is the process for balancing the multiple conflicting objectives with many constraints. The primary objective of transmission planning is to ensure the reliable supply to the demand as economically as possible. The new approach in this paper is formed to minimize the Expected Energy Not Supplied (EENS), investment cost and maximize the benefit-cost ratio - subject to the power flow and security constraints. The computer program for reliability evaluation of bulk power systems CRUSE is used to perform reliability evaluation of the transmission system with predetermined outages. An advanced genetic algorithms (GAs) is utilized to solve the multi-objective optimisation problem. The advantages of the new approach include 1) it achieves the possible highest reliability with less cost; 2) it maximizes the cost efficiency, which increases the competitive advantage of a transmission company; and 3) the resulting plans contain the planner's preference which is easy to adjust. The planning approach has been illustrated on the Roy Billinton Test System (RBTS).
Subjects 290901 Electrical Engineering
E1
660304 Energy systems analysis
660301 Electricity transmission
Keyword genetic algorithms
least-cost planning
reliability
risk analysis
power system transmission
planning
Q-Index Code E1

 
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Created: Thu, 15 Jun 2006, 10:00:00 EST by Tapan Kumar Saha on behalf of School of Information Technol and Elec Engineering