Tutorial Descriptions, Schedule, Pricing, & Instructors

TUTORIALS WILL BE PRESENTED ONLINE
Please check back later for additional information.

 

Upcoming Tutorials


High Renewable Energy Penetration in Remote and Isolated Power Systems

Dates & Sessions: 

  • Session 1: International Case Studies
    August 10, 2020 8-10 AM EDT 
    – On-Demand Coming Soon
  • Session 2: Design and Delivery of Isolated and Remote Area Power Systems Development
    August 10, 2020 11 AM-1 PM EDT – On-Demand Coming Soon

Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Professor Michael Negnevitsky Chair in Power Engineering and Computational Intelligence Director of the Centre for Renewable Energy and Power Systems University of Tasmania
Instructors: Professor Nikos Hatziargyriou Chairman and CEO Hellenic Distribution Network Operator, Professor Richard Rocheleau Director, Hawaii Natural Energy Institute, Gwen Holdmann, Director, Alaska Centre for Energy and Power

The proposed IEEE PES tutorial will include a 4-hour professional development course on the implementation of renewable and energy storage technologies within remote and isolated power systems. The course will provide the opportunity for participants to build capacity across the core capabilities required to design, assess and successfully implement renewable integration. While every island power system project is unique, the proposed tutorial identifies common skills required across projects, building capability and knowledge via a range of interactive exercises. The tutorial will use the extensive knowledge and experience to bring a pragmatic approach to integration of new technologies within remote and isolated systems. Participants will gain insights into issues specific to these technologies via interactive exercises and will have an opportunity to discuss a range of international case studies in detail.

 

Distribution System Optimization

Dates & Sessions:

  • Session 1: Volt-VAr Optimization and Control and Feeder PV/EV Hosting Capacity and Mitigation
    August 17, 2020 1PM EDT – Register Now
  • Session 2: Session 2: FLISR, Reconfiguration and Switching Optimization and Optimum Capacitor-Regulator Placement, Battery Modeling-Optimization-Sizing
    August 19, 2020 1PM EDT – Register Now

Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Jose Luis Rueda Torres, PhD, Associate Professor, Delft University of Technology, Netherlands
Instructors: Ahmed Y. Saber, PhD, Principal Power Engineer (R&D), Manager of Smart Power System Optimization Group (T&D), ETAP Global Research

Power system is the most complex network in the world. After increasing computational power and available sensory data, users want to model their power systems in detail using GIS. A distribution system is an example. Distribution system is unbalance. Moreover, new discrete and non-linear complex elements are being added every day, e.g., renewables, smart inverters, storages, electric vehicles and so on. Those intelligent devices and bi-directional power flows make the distribution network more complex. Thus distribution systems cannot be handled efficiently without using proper intelligence and optimization. Modern utilities are putting priories on distribution system optimization for operations and planning. Industries are looking for fast non-linear optimization tools. This tutorial mainly covers available distribution system optimization studies, methods and tools with practical examples. Distribution system optimization studies include Volt-Var Optimization, Feeder PV/EV Hosting Capacity, Switching Optimization, Optimum Capacitor-Regulator Placement, Battery Modeling-Optimization-Sizing, etc.

 

Managing Uncertainties in the Future Grid- Evolution of EMS Control Centers – Synchrophasor Solutions - Keeping the Lights On – Yesterday, Today, Tomorrow

Date: August 25, 2020 10AM EDT - Register Now

Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Jay Giri, Former Director, GE Grid Solutions, Independent Consultant - GGM Consulting
Instructors: Mark Adamiak, Former Director, GE Energy Connection, Independent Consultant

Managing the future grid will require creative, innovative solutions. This is because of uncertainties being introduced by the growth of less predictable & reliable renewable generation resources, demand response programs, distributed generation, microgrids, potential cyber-security issues and the aging infrastructure. Energy Management Systems (EMS) have been deployed for decades at utility control centers to manage the electricity grid in real-time. Today these EMS capabilities are poised to be enhanced quite dramatically with growth of synchrophasor PMU measurements. Solutions to decentralize management of the grid are also being introduced – these include Distribution Management Systems, Substation Automation and advances in grid control devices. These new solutions will help us manage the uncertainties and challenges of the future smart grid.

 

Past Tutorials


Grid Energy Storage Technology and Applications

Dates & Sessions:

  • Session 1: Overview & Technologies
    July 21, 2020 8-10 AM EDT –
    On-Demand Coming Soon
  • Session 2: Applications and Valuation
    July 21, 2020 2-4 PM EDT –
    On-Demand Coming Soon
  • Session 3: Engineering Energy Storage Systems
    July 23. 2020 11 AM-2 PM EDT –
    On-Demand Coming Soon
  • Session 4: A Closer Look at Safety, Codes and Regulations
    July 23, 2020 2-4 PM EDT –
    On-Demand Coming Soon

Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Dr. Babu Chalamala, Sandia National Laboratories, ESSB vice-chair
Instructors: Curtis Ashton, Ampowersys, Ray Byrne, Sandia National Labs, Bill Cantor, TPI Engineering, Jim McDowall, SAFT Batteries, Tu Nguyen, Sandia National Laboratories, Yuliya Preger, Sandia National Labs, Chris Searles, BAE Batteries, Vince Sprenkle, PNNL, Charlie Vartanian, PNNL

This multi-presenter tutorial covers the basics of electrical energy storage (primarily for the grid), including the factors driving the need for electrical energy storage; the various energy storage applications; various present and potential future battery energy storage technologies (BESS), e.g., Li-based, advanced lead-acid, flow batteries, sodium-based batteries, metal-air batteries, and zinc-based rechargeable batteries; commissioning of energy storage systems; engineering of energy storage systems, interconnection with the grid (e.g., IEEE 1547); energy management systems, commissioning, system safety and reliability, and finally, code compliance.

 

Building the Next Generation of Synchrophasor Systems

Date: July 28 2020 10 AM EDT - On-Demand Coming Soon

Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Yi Hu, Quanta Technology LLC
Instructors: Damir Novosel, Quanta Technology LLC, Yi Hu, Quanta Technology LLC, Tariq Rahman, San Diego Gas & Electric, David Schooley, ComEd/Exelon

Deployment of synchrophasor systems are driven by major challenges of reliably operating the future power system, and the benefits of the synchrophasor technology have been well recognized by the industry. Many synchrophasor systems have been deployed for data analysis as well as for control room real-time operational use. However, integrating the synchrophasor technology into real-time control room operations, and expanded its application to various protection, automation, and control applications and to distribution systems, would require next generation of synchrophasor systems to be deployed to overcome the limitations of the currently deployed synchrophasor systems. This tutorial will provide an overview of the success and the benefits of synchrophasor technology application to date, review the main limitations of the currently deployed synchrophasor systems, and discuss the drivers for and the main requirements and characteristics of the next generation synchrophasor systems. Case studies and best practices will also be presented and discussed.

 

Grid Architecture: Methods and Concepts for Modernizing Electric Power Systems

Date: July 30, 2020, 11 AM EDT - On-Demand Coming Soon

Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Ron Melton, Pacific Northwest National Laboratory
Instructor: Jeffrey Taft, Pacific Northwest National Laboratory

Grid Architecture is the application of system architecture, network theory, and control theory to the electric power grid. A grid architecture is the highest-level description of the complete grid and is a key tool to help understand and define the many complex interactions that exist in present and future grids. Grid architecture can be used to: help manage complexity (and therefore risk); assist communication among stakeholders around a shared vision of the future grid; identify and remove barriers and define essential limits; define interfaces and platforms, identify gaps in theory, technology, organization, regulation; and provide a framework for complex grid-related development activities.
The discipline of grid architecture provides a modern set of methods to assist in thinking about grid complexities, to aid in understanding interactions and technical gaps, to enable new capabilities and remove old unnecessary limits, and to support communication among stakeholders. This is increasingly important as we modernize the electric power system moving to an increasingly distributed system most usefully viewed as a network of structures. This tutorial will introduce the basic tools of grid architecture with examples of how to apply them, and a discussion of advanced grid architecture concepts.

 

Cybersecurity of the Electric Power Transmission and Distribution System

Dates & Sessions:

  • Session 1: Introduction
    July 31, 2020 8-10 AM EDT –
    On-Demand Coming Soon
  • Session 2: Cybersecurity Implementation Examples and Utility Perspective on the Cyber Security
    July 31, 2020 12-2 PM EDT –
    On-Demand Coming Soon

Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Dr. Murty V.V.S. Yalla, President, Beckwith Electric Co., Inc.
Instructors: Dr. Nathan Wallace, Director of Cyber Operations, Ampirical, Steven A. Kunsman, Director Product Management and Applications, ABB

The Future is Now for the 21st Century Distribution Management and Operation systems. The 21st Century smart grid systems involve the complete chain of energy delivery from generation to transmission to distribution to the customers. Many of the smart grid applications will occur at the distribution level since this is where new communication infrastructure will enable new automation schemes, integration of distributed generation, and integration of customer systems with the operation of the power delivery system. Smart grid applications such as VVO and FLISR will incorporate Distributed Energy Resources (DER) to improve the functionalities. Distributed Energy Resources Management systems (DERMs) with the growing use of storage are advancing the 21st Century smart grid systems. New emerging technologies include electric vehicles and EV Management to supplement the improved system efficiencies. The modern power system organizations will exploit these technologies in concert with the impact of microgrids and potential TSO/DSO interactions.

 

Machine Learning and Big Data Analytics in Smart Grid

Dates & Sessions: 

  • Session 1: Data-driven Analytics for Power System Dynamics 
    July 28, 2020 2-4 PM EDT – On-Demand Coming Soon
  • Session 2: Overview & Reinforcement Learning-based Control in Power Distribution Systems 
    July 29, 2020 10 AM-12 PM EDT – On-Demand Coming Soon
  • Session 3: Estimation of System State and Behind-the-Meter Solar Generation 
    August 3, 2020 2-4 PM EDT – On-Demand Coming Soon
  • Session 4: Streaming Analytics and Machine Learning Design for Smart Grid and Power Systems 
    August 3, 2020 5-7 PM EDT – On-Demand Coming Soon

Price: PES Member $50, IEEE Member $74. Non-member $99 (per session)
Lead Instructor: Nanpeng Yu, Associate Professor, University of California
Instructors: Lang Tong, Cornell University, Ram Rajagopal, Stanford University, Le Xie, Texas A&M University, Yingchen Zhang, National Renewable Energy Laboratory, Hao Zhu, The University of Texas at Austin, Yang Weng, Arizona State University, Ning Zhou, Binghamton University

This course provides background information, real-world development experience, and in-depth discussions of big data analytics and machine learning in smart grid. The value, velocity, volume, and variety of big data in the smart grid will be discussed. The basics of machine learning algorithms such as unsupervised learning, supervised learning, and reinforcement learning algorithms will be delivered in good depth for working professionals. Important real-world applications of big data analytics and machine learning in the transmission system, distribution system, and electricity market will be presented. These applications include: 1) behind-the-meter solar estimation, 2) load modeling & monitoring, 3) PMU data analytics, 4) high impedance fault identification, 5) topology identification, 6) distribution system state estimation, 7) oscillation detection and analysis, 8) data-driven distribution system management, and 9) topology identification.

 


After the Tutorial:

  • Educational Credits will be available on the registration web page in the IEEE PES Resource Center  for purchase within seven (7) business days.
  • All tutorial recordings and corresponding slides will be available for download on the IEEE PES Resource Center within seven (7) business days.
  • NOTE:The slides will be made available before the live event

For any questions, please contact LaToya Gourdine at This email address is being protected from spambots. You need JavaScript enabled to view it.