DocumentCode
816596
Title
Security-Constrained Resource Planning in Electricity Markets
Author
Roh, Jae Hyung ; Shahidehpour, Mohammad ; Fu, Yong
Author_Institution
Electr. & Comput. Eng. Dept., Illinois Inst. of Technol., Chicago, IL
Volume
22
Issue
2
fYear
2007
fDate
5/1/2007 12:00:00 AM
Firstpage
812
Lastpage
820
Abstract
We propose a security-based competitive generation resource planning model in electricity markets. The objective of the model is to introduce the impact of transmission security in a multi-GENCO generation resource planning. The proposed approach is based on effective decomposition and coordination strategies. Lagrangian relaxation and Benders decomposition are applied to decompose the original planning problem into tractable optimization subproblems. Locational price signal and security signal are defined for the simulation of competition among GENCOs and the coordination of security between GENCOs and the regulatory body (ISO). The numerical examples exhibit the effectiveness of the proposed generation planning model in electricity markets
Keywords
numerical analysis; power generation economics; power generation planning; power generation protection; power markets; pricing; Benders decomposition; ISO; Lagrangian relaxation; electricity markets; locational price signal; multiGENCO; security signal; security-constrained resource planning; tractable optimization subproblems; transmission security; Costs; Electricity supply industry; ISO; Investments; Lagrangian functions; Meeting planning; Power generation; Power system modeling; Security; Technology planning; Benders decomposition; Lagrangian relaxation; competitive electricity markets; generation resource planning; mixed integer programming; transmission security;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2007.895174
Filename
4162617
Link To Document