Stochastic Robust Mathematical Programming Model for Power System Optimization

Journal Article · Fri Jan 01 04:00:00 EST 2016 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/TPWRS.2015.2394320· OSTI ID:1249512

Liu, Cong; Changhyeok, Lee; Haoyong, Chen; Mehrotra, Sanjay

This paper presents a stochastic robust framework for two-stage power system optimization problems with uncertainty. The model optimizes the probabilistic expectation of different worst-case scenarios with ifferent uncertainty sets. A case study of unit commitment shows the effectiveness of the proposed model and algorithms.

• Research Organization: Argonne National Laboratory (ANL)
• Sponsoring Organization: USDOE Office of Electricity Delivery and Energy Reliability
• DOE Contract Number: AC02-06CH11357
• OSTI ID: 1249512
• Journal Information: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 1 Vol. 31; ISSN 0885-8950
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

distributionally robust
power system optimization
robust optimization
stochastic
unit commitment