Distributionally Robust Solution to the Reserve Scheduling Problem With Partial Information of Wind Power

By Qiaoyan Bian, Huanhai Xin, Zhen Wang, D. Gan, Kit Po Wong. IEEE Transactions on Power Systems, 2015

74 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/2691308d95d6cef0cf5277756fd41330605a55f5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Shabbir Ahmed
2. Weijun Xie
3. J. Liu

In Management Science and Operations Research

1. Shabbir Ahmed
2. Weijun Xie
3. Yongpei Guan

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 [13]– [15], robust optimization [16]–[23], and chance constrained program approaches [5]–[8], [24]–[27] (see [28] for some discussions).”
• Data-driven Affinely Adjustable Distributionally Robust Unit Commitment (2018, methodology): “To better modeling and tackling uncertainties, in several very recent studies, distributionally robust optimization (DRO) has been introduced to power system optimization problems including unit commitment [13], [14], energy reverse dispatch [15], [16], reverse scheduling [17], [18] and DC optimal p”