Title :
Security-constrained unit commitment with AC constraints
Author :
Fu, Yong ; Shahidehpour, Mohammad ; Li, Zuyi
Author_Institution :
Electr. & Comput. Eng. Dept., Illinois Inst. of Technol., Chicago, IL, USA
fDate :
5/1/2005 12:00:00 AM
Abstract :
In a restructured power market, the independent system operator (ISO) executes the security-constrained unit commitment (SCUC) program to plan a secure and economical hourly generation schedule for the day-ahead market. This paper introduces an efficient SCUC approach with ac constraints that obtains the minimum system operating cost while maintaining the security of power systems. The proposed approach applies the Benders decomposition for separating the unit commitment (UC) in the master problem from the network security check in subproblems. The master problem applies the augmented Lagrangian relaxation (LR) method and dynamic programming (DP) to solve UC. The subproblem checks ac network security constraints for the UC solution to determine whether a converged and secure ac power flow can be obtained. If any network violations arise, corresponding Benders cuts will be formed and added to the master problem for solving the next iteration of UC. The iterative process will continue until ac violations are eliminated and a converged optimal solution is found. In this paper, a six-bus system and the IEEE 118-bus system with 54 units are analyzed to exhibit the effectiveness of the proposed approach.
Keywords :
dynamic programming; iterative methods; load flow; power generation economics; power generation scheduling; power markets; power system security; AC constraint; Benders decomposition; Lagrangian relaxation method; ac power flow security; day-ahead market; dynamic programming; economical hourly generation schedule; independent system operator; iterative process; power system security; restructured power market; security-constrained unit commitment; Costs; Dynamic programming; ISO; Lagrangian functions; Power generation; Power generation economics; Power markets; Power system dynamics; Power system economics; Power system security; Augmented Lagrangian relaxation; Benders decomposition; network security constraints; security-constrained unit commitment (SCUC); testructured power markets;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2005.846076