LR Stochastic SCUC

This set of codes implements Lagrangian Relaxation to solve the the stochastic unit commitment problem. This problem considers two types of generators: (i) slow generators that cannot change their on/off status in real-time; (ii) fast generators that can change their on/off status in real-time. Note that the network capacity constraints (branch thermal limits) are not considered in this work, which is an improvement to be made in the future.

Test systems:

• The test cases used here include (i) a modified IEEE RTS-96 reliability test system (73-bus). The reference is: “The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee” and link is here.

Citation:

If you use any of our codes for your work, please cite the following as a reference:

• Xingpeng Li, “Stochastic Unit Commitment using Lagrangian Relaxation in AMPL”, Mar. 2023, [Online]. Available at: https://rpglab.github.io/resources/LR-SUC-AMPL/

Contact:

Dr. Xingpeng Li

University of Houston

Email: xli83@central.uh.edu

Website: https://rpglab.github.io/

License:

This work is licensed under the terms of the Creative Commons Attribution 4.0 (CC BY 4.0) license.

Disclaimer:

The author doesn’t make any warranty for the accuracy, completeness, or usefulness of any information disclosed; and the author assumes no liability or responsibility for any errors or omissions for the information (data/code/results etc) disclosed.