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arXiv · 1711.00906

Variance-Aware Optimal Power Flow

Daniel Bienstock·Apurv Shukla
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Abstract

The incorporation of stochastic loads and generation into the operation of power grids gives rise to an exposure to stochastic risk. This risk has been addressed in prior work through a variety of mechanisms, such as scenario generation or chance constraints, that can be incorporated into OPF computations. Nevertheless, numerical experiments reveal that the resulting operational decisions can produce power flows with very high variance. In this paper we introduce a variety of convex variants of OPF that explicitly address the interplay of (power flow) variance with cost minimization, and present numerical experiments that highlight our contributions.

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Daniel Bienstock, Apurv Shukla. 2017-11-02. Variance-Aware Optimal Power Flow. https://arxiv.org/abs/1711.00906

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