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.
Benchmarking and Integrating Chance-Constrained Stochastic Unit Commitment Solution for Optimal Management of Uncertainty
"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. .
"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. .
"A Risk-Averse Optimization Model for Unit Commitment Problems." 48th Annual Hawaii International Conference on System Sciences (HICSS). Kauai, HI: IEEE, 2015. .
"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. .