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Task Force: Application of Big Data Analytic on Transmission System Dynamic Security Assessment

Introduction

The Task Force Application of Big Data Analytic on Transmission System Dynamic Security Assessment belongs to the IEEE PES ​​Subcommittee on Big Data & Analytics for Power Systems and is part of the IEEE Power & Energy Society (IEEE PES).

The energy demand is continuously growing as result of a more digital and technological Society and energy transitions are pushing towards more sustainable societies demanding for modern and carbon-free energy grids.

Implementing measures to fulfil the energy demand mainly based on green energy sources involves technical and economic challenges such as dependency on cross border exchange, the reinforcement of the existing transmission capacity and the need of flexibility by means of creating new interconnections with border countries. As a consequence, the transmission system is becoming vulnerable and operates closer to its boundary conditions, hence becoming more difficult to operate in real time. Consequently, utilities require higher degree of observability in the network from of advance measuring infrastructure in order to improve the decision making and situational awareness of the transmission system.

Under this context, big data analytic (data mining, artificial intelligence and machine learning) unfolds new opportunities to develop sophisticated online and offline dynamic security assessment tools, particularly in bulk power systems where transmission system operators are struggling to cope with expanding data flows and computational demands.

Mission and Scope

Our task force pursues several goals. The following points describe what the Task Force will do in the coming years.

Planned Activities

The following activities are planned for the upcoming years:

Furthermore, several reports are scheduled for the future:

Upcoming Activities 2021

  • June 14th, 2021: Kick-off of the Second Technical Report “Application of data mining, artificial intelligence and machine learning algorithms to maintain the secure operation of transmission systems”
  • July 26th, 2021:  Panel Session “Advanced Data Analytics for Probabilistic Security Assessment”, IEEE PES GM 2021 (more info on conference website)
  • July 27th,2021:  TF Meeting (time or date subject to change due to overlap with other PES GM events), for connection details please contact any of the TF officers
  • August 29th, 2021: Deadline of the Special Issue open call  “Applications of machine learning for dynamic security assessment on transmission systems”, in Elsevier Journal Sustainable Energy, Grids and Networks SEGAN (link to call for papers)
  • September 13th, 2021: 5th International Workshop DynPOWER 2021 (link to website of event)
  • October 28th, 2021: TF Meeting, for connection details please contact any of the TF officers
  • December 9th, 2021: TF Meeting (aimed for leaders of Report 2, but open all TF members), for connection details please contact any of the TF officers

Past Activities

Core Members

Name Institution Country
Mario Paolone EPFL Switzerland
Vladimir Terzija Skoltech Russia
Hjörtur Jóhannsson DTU Denmark
Marcos Netto National Renewable Energy Laboratory USA
Venkat Krishnan National Renewable Energy Laboratory USA
Yingchen Zhang National Renewable Energy Laboratory USA
Yoshihiko Susuki Osaka Prefecture University Japan
Simon Tindemans TU Delft Netherlands
Jose Luis Rueda Torres TU Delft Netherlands
Jochen Cremer Imperial College London UK
Federica Bellizio Imperial College London UK
Balarko Chaudhuri Imperial College London UK
Mingyang Sun Zhejiang University China
Yajun Wang Dominion Energy USA
Robert Eriksson Svenska Kraftnät Sweden
Rusejla Sadikovic Swissgrid Switzerland
Mats Larsson ABB Corportate Research Switzerland
Hector Chavez University of Santiago de Chile Chile

Contact

If you are interested in the work of this group and want to receive information about the upcoming activities, please contact any of the officers of the Task Force.

Officers of the Task Force

The management of the Task Force consists of an international team of four people.