TY - GEN
T1 - A framework for transmission planning in a competitive electricity market
AU - Lu, M.
AU - Dong, Z. Y.
AU - Saha, T. K.
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2005
Y1 - 2005
N2 - 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 λ 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). © 2005 IEEE.
AB - 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 λ 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). © 2005 IEEE.
KW - And power system transmission planning
KW - Genetic algorithms
KW - Least-cost planning
KW - Reliability
KW - Risk analysis
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33751369339&origin=recordpage
U2 - 10.1109/TDC.2005.1547025
DO - 10.1109/TDC.2005.1547025
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780391144
SN - 9780780391147
VL - 2005
T3 - Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
SP - 1
EP - 6
BT - Proceedings - 2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific
T2 - 2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific
Y2 - 15 August 2005 through 18 August 2005
ER -