Benchmarking and Integrating Chance-Constrained Stochastic Unit Commitment Solution for Optimal Management of Uncertainty

PI:

Anderson, Lindsay

Project Status:

Completed

This project is exploring approximate optimization methods to improve security-constrained unit commitment (SCUC) by: (a) developing robust scenario-reduction methods with assessment of impact optimality of the SCUC solution; (b) including contingencies in the SCUC formulation in addition to wind uncertainty; and (c) implementing the approximate-solution method for larger systems, while maintaining reasonable solution times.

Related Publications

Liu, Jialin, Maria Gabriela Martinez, Bowen Li, Johanna L Mathieu, and C. Lindsay Anderson. "A Comparison of Robust and Probabilistic Reliability for Systems with Renewables and Responsive Demand." 2016 49th Hawaii International Conference on System Sciences (HICSS). Koloa, HI, USA: IEEE, 2016. 2373 - 2380.

Cardell, Judith B, and C. Lindsay Anderson. "Flexible Wind Dispatch, System Reliability and EPA's Clean Power Plan." 2016 49th Hawaii International Conference on System Sciences (HICSS). Koloa, HI, USA: IEEE, 2016. 2408 - 2417.

Martinez, Gabriela, and C. Lindsay Anderson. "A Risk-Averse Optimization Model for Unit Commitment Problems." 48th Annual Hawaii International Conference on System Sciences (HICSS). Kauai, HI: IEEE, 2015.

Martinez, Gabriela, and C. Lindsay Anderson. "Toward a scalable chance-constrained formulation for unit commitment to manage high penetration of variable generation." 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton). Monticello, IL, USA: IEEE, 2014. 723 - 730.