Distributionally Robust Unit Commitment with Flexible Generation Resources Considering Renewable Energy Uncertainty
As the penetration of intermittent renewable energy increases in bulk power systems, flexible generation resources, such as quick-start gas units, become important tools for system operators to address the power imbalance problem. To better capture their flexibility, we proposed a distributionally robust unit commitment framework with both regular and flexible generation resources, in which the unit commitment decisions for flexible generation resources can be adjusted in the second stage to accommodate the renewable energy intermittency. In order to tackle this two-stage distributionally robust mixed-binary model, to which traditional separation algorithms wont apply, we designed an integer L-shaped algorithm with advanced cutting plane techniques. In comparison to the traditional distributionally robust unit commitment, the proposed approach can reduce the system cost through an improved flexible resource quantification in the modeling.
S. Wang et al., "Distributionally Robust Unit Commitment with Flexible Generation Resources Considering Renewable Energy Uncertainty," IEEE Transactions on Power Systems, Institute of Electrical and Electronics Engineers (IEEE), Jan 2022.
The definitive version is available at https://doi.org/10.1109/TPWRS.2022.3149506
Electrical and Computer Engineering
Keywords and Phrases
Costs; Distributionally Robust Optimization; Flexible Generation Resources; Measurement; Probability Distribution; Random Variables; Renewable Energy Sources; Renewable Energy Uncertainty; System Flexibility; Transmission Line Matrix Methods; Two-Stage Mixed-Binary Linear Program; Uncertainty; Unit Commitment
International Standard Serial Number (ISSN)
Article - Journal
© 2022 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jan 2022