Distributionally robust chance-constrained minimum variance beamforming

Zhang, Xiao; Feng, Qiang; Ge, Ning; Lu, Jianhua

doi:10.1109/icassp.2016.7472204

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Cited by 6 publications

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“…However, the ambiguity set in (7), which is adopted from [4], is more generic. Besides, the constraints in (5) are added in the model to express the adjustment capability limits of the units. arXiv:1801.03652v1 [eess.SP] 11 Jan 2018…”

Section: Problem Formulationsmentioning

confidence: 99%

A Linear Solution Method of Generalized Robust Chance Constrained Real-Time Dispatch

An-ping

Yang

Wang

et al. 2018

IEEE Trans. Power Syst.

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In this letter, a novel solution method of generalized robust chance constrained real-time dispatch (GRCC-RTD) considering wind power uncertainty is proposed. GRCC models are advantageous in dealing with distributional uncertainty, however, they are difficult to solve because of the complex ambiguity set. By constructing traceable counterparts of the robust chance constraints and using the reformulation linearization technique, the model is equivalently transformed into a deterministic linear programming problem, which can be solved efficiently by offthe-shelf solvers. Numerical results verify the effectiveness and efficiency of the approach.

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Section: Problem Formulationsmentioning

confidence: 99%