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CAMS Subcommittee Meeting

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Tuesday, July 23, 2024, 2:00 – 3:00 PM

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Room 328

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Computing and Analytical Methods Subcommittee

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Introduction

Chair:�Olivera Kotevska�Oak Ridge National Laboratory�Email: kotevskao@ornl.gov

Vice-Chair and TCPC:�Hantao Cui�NC State University�Email: hcui9@ncsu.edu

Secretary:�Rui Yao�Tapestry, X Development LLC�Email: ruiyao@ieee.org

Webmaster:�Yichen Zhang�University of Texas at Arlington�Email: yichen.zhang@uta.edu

IEEE PES Computing and Analytic Methods Subcommittee (CAMS)

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Our mission is to serve as a bridge between the technical areas of sophisticated

analytical modeling/algorithms and state-of-the-art information technologies, especially

the integration and computing methodologies.�

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Introduction

  • Attendee introduction

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Adopt Agenda

    • Approve minutes of the last CAMS meeting
    • Subcommittee leadership
    • Current membership
    • 2024 PESGM panel sessions
    • 2024 PESMG papers
    • Current working groups and task force updates
    • New CAMS activities
      1. Panel proposal
      2. Task force proposal intent
      3. Other planned activities and new business
    • Adjournment
      • Upcoming conferences
      • Next meeting

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Approve 2023 PESGM meeting minutes

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Subcommittee leadership

  • CAMS officers to rotate at year-end
  • Looking for a new CAMS webmaster

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~100 members on the CAMS mailing list

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Current membership

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2024 PESGM panel sessions

  • Novel Computing Platforms for Integration of Renewable Energy Sources (Taylor and Vaccaro)
    • Tuesday, 10:00 AM - 12:00 PM, Room 439

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  • Cybersecurity and Resiliency for EV Charging Infrastructure (Manimaran)
    • Wednesday, 10 AM - 12 PM, Room 439

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  • Application of CIM Standards in Enhancing Power System Interoperability (Bogen)
    • Wednesday, 3 PM- 5 PM, Room 439

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2024 PESMG papers

  • 2024: 33 papers received; 16 accepted
  • 2023: 42 papers received; 21 accepted
  • 2022: 41 papers received; 18 accepted

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Topics include

  • quantum computing, electromagnetic transient simulation, GPU computing, optimal power flow, etc.

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Current Working Group and Task Force updates

      • WG1: WG on the Understanding, Prediction, Prevention and Restoration of Cascading Failures. Chair: Emanuel Bernabeu, PJM.�
      • WG2: WG on High-Performance Computing for Grid Analysis. Chair: Zeb Tate, University of Toronto,

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      • WG3: WG on Cyber Security in Power Systems. Chair: Manimaran Govindarasu, Iowa State University.�
      • WG4: WG on Power System Modeling and Integration Using CIM Standards. Utility Co-Chair: David Bogen, Oncor

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      • WG5: WG on Computational Aspect of Distributed Optimization in the Power System. Co-chairs: Daniel Molzahn, Georgia Tech, Co-Chair: Anurag Srivastava, West Virginia University.

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Current Working Group and Task Force updates

      • TF1: New Tools for the operation of future Power Systems with very high penetration of renewable resources. Co-chair: Yuan Liu, PNNL, Co-chair: Mingguo Hong, ISO New England.�
      • TF2: Cloud Computing Applications for Power Systems. Chair: Yousu Chen, PNNL.�
      • TF3: Power System Uncertainty Quantification and Uncertainty-Aware Decision-Making. Chair: Lamine Mili, Virginia Tech�
      • TF4: Power System Analysis on GPU and Heterogeneous Computing Architectures. Chair: Shrirang Abhyankar, PNNL

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Topic suggestions for GM 25 panels

  1. Large language models – Shri and Jimmy
  2. Modeling of unbalanced three-phase systems and how CIM supports that
  3. AI-enabled cybersecurity for smart grid

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Intent to proposal Task Force

 

Two TFs have been proposed for the Big Data & Analytics

∙ Edge computing infrastructure for Grid edge sensing and control

∙ Data governance in the cloud for power system organizations

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AMPS suggested hosting them under CAMS, not BDA, based on the scope of the two subcommittees

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BDA

“The proposed subcommittee builds upon the task force activities in 2013-2015, and will serve as a professional society hub to enable collective efforts towards defining a big data-driven grid operation roadmap. This subcommittee will bring together leaders from industry, academia, and government and meet regularly (both face-to-face meeting and Web-based conference calls) to define the architectural, computational, and practical challenges and opportunities brought by the emerging big data in smart grid. Discussions will focus on the standards, management, and analytics of big multi-domain multi-resolution data (PMUs, SCADA, Weather, GIS, etc.) for power grid operations.”

CAMS

“Promote integration as well as development of analytical methodologies and computational techniques to enhance 1) utility system operation and planning, 2) energy transaction and system dispatch, and 3) power quality, reliability, and energy services. Encourage research and development of advanced analytical algorithms to solve power system problems. Investigate innovations in computer applications to facilitate implementation of the analytical algorithms. Advocate state-of-the-art information technology to integrate data, algorithms, and applications. Sponsor technical papers, panel sessions, and workshops to provide effective dissemination of advanced technologies related to the subcommittee activities. Coordinate such activities where appropriate with other IEEE committees and subcommittees.”

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Conclusions and Recommendations

What does your paper conclude?

What further research is required?

Are there any differences from what you expected?

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PLEASE DO NOT ADD SLIDES. YOU ARE ONLY ALLOWED 7 SLIDES TOTAL AND 7 MINUTES TO PRESENT THEM

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