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arXiv · 1811.01163

Optimal Power Flow: An Introduction to Predictive, Distributed and Stochastic Control Challenges

Timm Faulwasser·Alexander Engelmann·Tillmann Mühlpfordt·Veit Hagenmeyer
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Abstract

The Energiewende is a paradigm change that can be witnessed at latest since the political decision to step out of nuclear energy. Moreover, despite common roots in Electrical Engineering, the control community and the power systems community face a lack of common vocabulary. In this context, this paper aims at providing a systems-and-control specific introduction to optimal power flow problems which are pivotal in the operation of energy systems. Based on a concise problem statement, we introduce a common description of optimal power flow variants including multi-stage-problems and predictive control, stochastic uncertainties, and issues of distributed optimization. Moreover, we sketch open questions that might be of interest for the systems and control community.

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Timm Faulwasser, Alexander Engelmann, Tillmann Mühlpfordt, Veit Hagenmeyer. 2018-11-03. Optimal Power Flow: An Introduction to Predictive, Distributed and Stochastic Control Challenges. https://doi.org/10.1515/auto-2018-0040

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