Two-Stage Minimax Regret Robust Unit Commitment
By Ruiwei Jiang, Jianhui Wang, Muhong Zhang, Yongpei Guan. IEEE Transactions on Power Systems, 2013
224 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/68ee1ade43882b553fadff1a5e5d3e94bf1e59d7
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In Electrical and Electronic Engineering
- Zhaoyu Wang
- Bokan Chen
- Wei Wei
- Jianhui Wang
- ShengWei Mei
- Feng Liu
- Chongqing Kang
- Miroslav M. Begovic
Citations in the corpus
- Robust Optimization for Transmission Expansion Planning: Minimax Cost vs. Minimax Regret (2014, methodology): “A robust minimax regret model is proposed in [16] to solve the unit commitment problem under uncertainty.”
- Robust Optimization Based Optimal DG Placement in Microgrids (2014, methodology): “The robust optimization (RO) has been applied to solve the unit commitment (UC) problem [18]–[21].”
- A Convex Model of Risk-Based Unit Commitment for Day-Ahead Market Clearing Considering Wind Power Uncertainty (2015, background): “Reference [17] proposes a novel robust unit commitment model that minimizes the highest cost difference between the redisppatch of the day-ahead decision and the perfect dispatch that considers the actual realization of wind power generation.”
- Distributionally Robust Co-Optimization of Energy and Reserve Dispatch (2016, methodology): “BLP (A3) can be solved by the alternating direction method in [27] and [44], or can be reformulated as a MILP such as the method in [23], [31], and”
- Adaptive Robust Optimization With Dynamic Uncertainty Sets for Multi-Period Economic Dispatch Under Significant Wind (2014, background): “Hybrid models and alternative objectives have also been explored to mitigate the conservativeness of the robust solution [13], [38].”