Options
Optimal power flow : an introduction to predictive, distributed and stochastic control challenges
Publikationstyp
Journal Article
Date Issued
2018-07-26
Sprache
English
Author(s)
Journal
Volume
66
Issue
7
Start Page
573
End Page
589
Citation
At-Automatisierungstechnik 66 (7): 573-589 (2018)
Publisher DOI
Scopus ID
Publisher
De Gruyter
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.
Subjects
distributed optimization
model predictive control
optimal power flow
stochastic uncertainties
DDC Class
333.7: Natural Resources, Energy and Environment
004: Computer Sciences
510: Mathematics