The Development of a Joint Modelling Framework for Operational Flexibility in Power Systems

被引：0

作者：

Voropai, Nikolai ^{[1
]}

Rehtanz, Christian ^{[2
]}

Kippelt, Stefan ^{[2
]}

Tomin, Nikita ^{[1
]}

Haeger, Ulf ^{[2
]}

Efimov, Dmitry ^{[1
]}

Kurbatsky, Victor ^{[1
]}

Kolosok, Irina ^{[1
]}

机构：

[1] Energy Syst Inst, Irkutsk, Russia

[2] TU Dortmund Univ, Dortmund, Germany

来源：

2019 16TH CONFERENCE ON ELECTRICAL MACHINES, DRIVES AND POWER SYSTEMS (ELMA) | 2019年

基金：

俄罗斯科学基金会;

关键词：

electric power system; flexibility; machine learning; artificial intelligence; power system security;

D O I：

10.1109/elma.2019.8771685

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The TU Dortmund University (Germany) and the Energy Systems Institute of the Russian Academy of Sciences (Russia) launched a joint research project to develop a unified modelling approach for distributed flexibility options. While recent approaches for distributed flexibility fail at common understanding of flexibility in the different layers of the power system, the participants will develop a modelling framework that allows the detailed quantification of flexibility potentials with a distribution-oriented perspective as well as on a system-wide view.

引用

页数：6

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