Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids

被引：65

作者：

Konstantelos, Ioannis ^{[1
]}

Jamgotchian, Geoffroy ^{[4
]}

Tindemans, Simon H. ^{[2
]}

Duchesne, Philippe ^{[5
]}

Cole, Stijn ^{[6
]}

Merckx, Christian ^{[6
]}

Strbac, Goran ^{[3
]}

Panciatici, Patrick ^{[4
]}

机构：

[1] Imperial Coll London, London SW7 2AZ, England

[2] Imperial Coll London, Control & Power Res Grp, London SW7 2AZ, England

[3] Imperial Coll London, Elect Energy Syst, London SW7 2AZ, England

[4] RTE, Res & Dev Dept, F-78005 Versailles, France

[5] Pepite, B-4000 Liege, Belgium

[6] Tractebel, B-1200 Brussels, Belgium

来源：

IEEE TRANSACTIONS ON SMART GRID | 2017年 / 8卷 / 03期

基金：

英国工程与自然科学研究理事会;

关键词：

High performance computing; Monte Carlo methods; power system simulation; power system stability;

D O I：

10.1109/TSG.2016.2606888

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：

This paper presents a computational platform for dynamic security assessment (DSA) of large electricity grids, developed as part of the iTesla project. It leverages high performance computing to analyze large power systems, with many scenarios and possible contingencies, thus paving the way for pan-European operational stability analysis. The results of the DSA are summarized by decision trees of 11 stability indicators. The platform's workflow and parallel implementation architecture is described in detail, including the way commercial tools are integrated into a plug-in architecture. A case study of the French grid is presented, with over 8000 scenarios and 1980 contingencies. Performance data of the case study (using 10 000 parallel cores) is analyzed, including task timings and data flows. Finally, the generated decision trees are compared with test data to quantify the functional performance of the DSA platform.

引用

页码：1417 / 1426

页数：10

共 24 条

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