Stochasticity agnostic solution to the AC optimal power flow by recursive bound tightening with top‐down heuristically inducted binary decision trees-Reference-Cited by-同舟云学术

Stochasticity agnostic solution to the AC optimal power flow by recursive bound tightening with top‐down heuristically inducted binary decision trees

Published:2022-11-17 Issue:1 Volume:17 Page:102-115
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation Trans & Dist

Author:

Moutis Panayiotis¹^ORCID,Thakar Parth¹²

Affiliation:

1. Wilton E. Scott Institute for Energy Innovation Carnegie Mellon University Pittsburgh Pennsylvania USA

2. Enphase Energy Fremont California USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12666

Reference57 articles.

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3. Duthaler C. Emery M. Andersson G. Kurzidem M.:Analysis of the use of power transfer distribution factors (PTDF) in the UCTE transmission grid. In:Power System Computation Conference.Glasgow Scotland UK(2008)

4. Bloom J.:Optimization applications in the energy and power industries.IBM Software Group pp.1–14(2009)

5. Optimal power flow (2020).www.digsilent.de/en/optimal‐power‐flow.html(Accessed on: 22 arch 2020)

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