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A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Journal 01 Nov 2021Embargo end date: 01 Jan 2020Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Power Systems, volume 36, pages 5,948-5,951 (issn: 0885-8950, eissn: 1558-0679, Copyright policy )
Authors: Haizhou Liu; Lun Yang; Xinwei Shen; Qinglai Guo; Hongbin Sun; Mohammad Shahidehpour;

doi: 10.1109/tpwrs.2021.3107201 , 10.48550/arxiv.2012.10125

arXiv: http://arxiv.org/abs/2012.10125 , 2012.10125

A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow

Abstract

In this letter, we propose a data-driven warm start approach, empowered by artificial neural networks, to boost the efficiency of convex relaxations in optimal gas flow. Case studies show that this approach significantly decreases the number of iterations for the convex-concave procedure algorithm, and optimality and feasibility of the solution can still be guaranteed.

3 pages, 4 tables, submitted to IEEE PES Letter

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Keywords

Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
bronze
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