Distributionally Robust Co-Optimization of Energy and Reserve Dispatch

By Wei Wei, Feng Liu, ShengWei Mei. IEEE Transactions on Sustainable Energy, 2016

208 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b91a49989ad526a1d5899665ba0c076232bbe9d7

How researchers see this paper

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In Electrical and Electronic Engineering

1. Boming Zhang
2. Wenchuan Wu
3. Shabbir Ahmed
4. Weijun Xie
5. J. Liu

Citations in the corpus

• Distributionally Robust Chance Constrained Optimal Power Flow with Renewables: A Conic Reformulation (2018, background): “There are many works on solving OPF, unit commitment (UC) problem or reserve scheduling via stochastic programming [28, 32, 37], robust optimization [3, 11, 15, 16, 39, 40, 43, 49], and chance constrained program approaches [5, 4, 19, 27, 31, 35, 38, 44] (see [23] for some discussions).”
• Data-Driven DG Capacity Assessment Method for Active Distribution Networks (2017, methodology): “The DRO method has recently been successfully applied in power system optimization, including transmission congestion management [17], unit commitment [18], and reserve scheduling [19, 20].”
• Data-driven Affinely Adjustable Distributionally Robust Unit Commitment (2018, methodology): “For example, the DRO problems in [13] and [14] are reformulated as (mixed integer) linear programmings (LP) whereas those in [15]–[18] and [20] are reformulated as semidefinite programmings (SDP).”