Earn Professional Development Hours (PDHs) or Continuing Education Hours (CEUs) upon attendance and completion of each tutorial course.

Note, a full or one-day conference registration plus an additional fee is required in order to attend any of these courses.  Please use the same event registration link to register and pay for tutorials.

Application of Model Heuristic Optimization to Dynamic Model Identification and Controller Tuning

Date: 17 July, 8:00 am-5:00 pm
Price: Early Bird $295, Regular $395; Student Early Bird $100, Student Regular $150
Lead Instructor: Jose Luis Rueda Torres, Ph.D., Delft University of Technology, Netherlands

Instructors Ahmed Y. Saber, Ph.D., ETAP Global Research, CA, Francisco Gonzalez-Longatt, Ph.D., University of South-Eastern Norway, Norway

Dynamic power system simulation can play an essential role in the stability of power systems. The dynamic response is susceptible to parameters. In some cases, the models’ parameters are changed over time, in others, some dynamic elements are kept out-of-service because of lacking proper knowledge of its applications and parameters. Therefore, the presenters will overview concepts for the dynamic model identification and controller tuning. It is assumed that the dynamic model of the system under consideration is given in terms of transfer functions or DAE, typical values of that model parameters and field recorded data using smart sensor devices like PMUs are known. It is a complex constraint optimization problem because the above-mentioned dynamic systems are highly non-linear with limiters (saturations) and are highly sensitive to parameters; they have multiple inputs/outputs (multi-objective), and there exist multiple solutions. The tuning of the response is accomplished by using an intelligent swarm-based optimization approach that automatically adjusts the tunable settings/parameters in the model to make the controller response match that of field recorded data.

Probabilistic Energy Forecasting: Methodologies, Implementations, and Applications

Date: 17 July, 8:00 am-5:00 pm
Price Early Bird $295, Regular $395; Student Early Bird $100, Student Regular $150
Lead Instructor Dr. Jethro Browell, University of Glasgow

Instructors Dr. Yi Wang, ETH Zurich, Dr. Tao Hong, the University of North Carolina at Charlotte, Dr. Bri-Mathias Hodge, National Renewable Energy Laboratory

The increasing integration of weather-dependent renewable energy and flexible loads introduces great complexity and uncertainty to power systems. Modern power systems rely on forecasts of many variables from minutes to weeks ahead to maintain reliable and economic operation. Probabilistic forecasts empower decision-makers with information about forecast uncertainty and play an important role in a growing number of power systems around the world. This tutorial introduces probabilistic forecasting, describes leading methods for load, price, wind, and solar forecasting, and explains how these forecasts are used in power systems. It is delivered by leading researchers who have developed these methods and supported their adoption energy industry in the US, Europe, and beyond.

VSC HVDC technology and application to enable the energy transition

Date: July 17, 8:00 am-12:00 pm
Price: Early Bird $195, Regular $240; Student Early Bird $50, Student Regular $75
Lead Instructor: Dirk Van Herten, KU Leuven, Belgium

Instructors Oriol Gomis-Bellmunt, CITCEA-UPC, Barcelona, Spain, Jef Beerten, KU Leuven, Belgium, Eduardo Prieto-Araujo, CITCEA-UPC, Barcelona, Spain

High Voltage Direct Current (HVDC) technology has seen a revival in the last decades and is increasingly chosen for the transmission of electric power. The revival has been driven by new technological developments with respect to power electronics (IGBT) realizing Voltage Source Converter (VSC) HVDC. The revival was equally driven by the changing system needs after liberalization, the massive deployment of renewable energy sources (in particular offshore), and new long-distance bulk power requirements.

The tutorial will present the VSC HVDC technology, its principal operations, and three new applications:

  1. Flexible HVDC transmission
  2. Large scale offshore deployment with HVDC links
  3. DC grid for the backbone of future power systems

The tutorial will end with an industry panel in which attendees can interact with representatives of HVDC equipment vendors and system operators.

Dynamic Modeling of Advanced – Pumped-Storage Hydropower (A-PSH) for Power System Studies

Date: July 17, 1:00 pm-5:00 pm
Price Early Bird $195, Regular $240; Student Early Bird $50, Student Regular $75
Lead Instructor Eduard Muljadi, Auburn University

Instructors Peter Donalek, Stantec, Om Nayak, Nayak Corporation, Shruti Dwarkanath Rao, GE, James Feltes, Siemens PTI, Xi Lin, Power Tech. Lab, Tom Overbye, PowerWorld

This tutorial will cover the tutorial of dynamic modeling of Advance PumpedStorage-Hydro (A-PSH) for power system studies. Both PSLF, PSSE, PowerWorld, PowerTechLab, and PSCAD software tools will be used. Examples and use cases will be prepared, simulated, and included in the tutorial. Participants are welcome to bring their laptops and the corresponding software of choice. Various contingency events (short circuits, ramp rates, loss of generation, loss of lines), will be included.

GridPACK: Framework and library for accelerating HPC in grid applications

Date: July 17, 8:00 am-12:00 pm
Price Early Bird $195, Regular $240; Student Early Bird $50, Student Regular $75
Lead Instructor Yousu Chen, Pacific Northwest National Laboratory

Instructors Zhenyu (Henry) Huang, Pacific Northwest National Laboratory, Bruce Palmer, Pacific Northwest National Laboratory, Renke Huang, Pacific Northwest National Laboratory, Shriang Abhyankar, Pacific Northwest National Laboratory, Shuangshuang Jin, Clemson University

This tutorial will introduce GridPACK (Parallel Advanced Computing Kernels for Power Grid), an open-source platform for developing power grid applications designed to run on high-performance computing (HPC) architectures, ranging from a few cores to many cores and medium- and large-scale clusters. The objective of GridPACK is to lower the threshold of parallel programming to allow power grid application developers to focus on algorithms, instead of parallel computing, to address the emerging challenges of renewables, decarbonization, and extreme weather by significantly increasing the computational speed of grid simulations.

The GridPACK framework provides strong support for a wide variety of parallel solvers and parallels linear algebra that can be tailored for different simulation problems, with a low threshold for HPC implementation. The framework can be used to develop new power grid applications with prebuilt modules. Multiple case studies will be discussed to show that GridPACK can significantly increase computational speed for applications such as transient analysis, contingency analysis, and dynamic security assessment, using both task-level parallelism and multi-level parallelism via the task manager framework. Improved computational performance can enable larger and more comprehensive calculations to improve grid reliability, efficiency and resilience.

Applying PDC standard (C37.247-2019) for a large-scale WAMS

Date: July 17, 1:00 pm-5:00 pm
Price: Early Bird $195, Regular $240; Student Early Bird $50, Student Regular $75

Lead Instructor Dr. Vasudev Gharpure, Quanta Technology

Instructors Dr. Mital Kanabar, GE Renewables Energy, Dr. Galina S. Antonova, Hitachi Power Grids

A phasor data concentrator (PDC) is a set of functions that may be performed on synchrophasor data, though the term is used interchangeably for devices hosting these functions. It is a part of a communication system that extends from a phasor measurement unit (PMU) to a data center or control room. PDC requirements used to be inferred indirectly from the synchrophasor standard (C37.118), resulting in different interpretations and problems with interoperability. IEEE published a guide (C37.244, in 2013) and a standard (C37.247, in 2019) to resolve these issues. This tutorial is aimed at elaborating the functions defined by the standard, their useful features, and the restrictions that users may be required to operate within. It finishes with some of the lessons learned during field installations

Distributed Optimization for Electric Power Systems: Needs, Algorithmic Developments, and Use Cases

Date: July 17, 8:00 am-12:00 pm
Price: Early Bird $195, Regular $240; Student Early Bird $50, Student Regular $75
Lead Instructor: John McDonald, GE

Instructors Anurag Srivastava, WVU, Na (Lina) Li, Harvard U, Anuradha Annaswamy, MIT, Karla Kvaternik, GE, Alyssa Kody, ANL, Daniel Molzahn, Georgia Tech, Patrick Panciatici, RTE France

The rapid growth of distributed energy resources (e.g., solar PV, batteries, electric vehicle charging, etc.) motivates the transition from centralized to distributed computations to cooperatively control these devices such that network efficiency and reliability are maximized.  Distributed optimization algorithms provide a number of potential advantages over centralized computations, including scalability via parallel computations, robustness to failure of individual computing agents, and data privacy. Accordingly, both academics and industry are looking towards distributed optimization algorithms to complement existing centralized computations through various use cases, such as volt/var control, solving optimal power flow, and managing retail electricity markets. To realize the potential advantages of distributed optimization, researchers have proposed various distributed optimization algorithms for these use cases, each with different advantages and disadvantages. This tutorial reviews various use cases for distributed optimization presents illustrative examples of several solution algorithms and discusses current limitations and future research needs

Modeling and Planning of Distributed Energy Resources in Distribution System with Open-Source Software

Date: July 17, 1:00 pm-5:00 pm
Price Early Bird $195, Regular $240; Student Early Bird $50, Student Regular $75
Lead Instructor Panitarn Chongfuangprinya, Hitachi America, Ltd.

Instructors David Chassin, PhD., Stanford University, Bo Yang, PhD., Hitachi America, Yanzhu Ye, PhD., Hitachi America

Because of distributed energy resources (DER), planning of the grid becomes more complex and dynamic for grid planners. Open-source software (OSS) is a flexible solution to supplement and interoperate with existing tools and processes. While there are many OSS tools used in different aspects of utilities, this tutorial focuses on distribution grid modeling and simulation. This tutorial will start with policy initiatives and trends of change for distribution resource planning. Tools for distribution grid simulation, resource planning, and DER modeling will be discussed along with real-world experience and lessons learned. Next, the pros and cons of using OSS in DER planning and operation will be discussed. Guidance on the adoption of OSS for distribution planning and simulation will be provided. Business benefits will be discussed as well. In addition, this tutorial will introduce example use cases and OSS tools to explore the impact of new loads, controls, and market structures.

PV Hosting Capacity of Distribution Systems: From Accommodation to Integration using Customer and Grid-side Solutions

Date: July 17, 1:00 pm-5:00 pm
Price Early Bird $195, Regular $240; Student Early Bird $50, Student Regular $75
Lead Instructor Prof Luis (Nando) Ochoa, The University of Melbourne, Australia

Instructors Matthew Rylander, Electric Power Research Institute (EPRI)

 Distribution companies in many countries are finding it challenging to allow residential and commercial customers to continue to install photovoltaic (PV) systems due to the potential technical impacts resulting from high penetrations. To remove these barriers, speed up connection times, and reduce costs, distribution companies are being asked by regulators to increase the PV hosting capacity of their low and medium-voltage feeders. Adequately exploiting the capabilities of the customer and grid-side solutions will be key.  This half-day tutorial will present and discuss different aspects required to assess the PV hosting capacity of distribution feeders. Furthermore, it will explain and demonstrate the benefits but also the potential challenges from exploiting the capabilities of the customer and grid-side solutions to move from an analysis that determines what can be accommodated by the grid to what can be integrated into the grid. Customer-side solutions include smart inverters (Volt-Watt, Volt-var, export limits) and storage systems. Real case studies from Australia, France, and the USA will be used to demonstrate the quantification of hosting capacity considering potential strategies to make the most of customer and grid-side solutions.

Aeolian Vibration, Galloping & Sub-span Oscillations and Conductor Motion Management

Date: July 21, 8:00 am-12:00 pm
Price Early Bird $195, Regular $240; Student Early Bird $50, Student Regular $75
Lead Instructor Dr. Jeff Wang, Engineering and Technology Solutions, Inc.

Overhead conductor motion (Aeolian vibration, galloping, and sub-span oscillations) has been an operation and maintenance issue for over eight decades, but conductor motion is still causing problems to utilities. This tutorial will review Aeolian vibration, galloping, and sub-span oscillations, conductor and hardware problems caused by conductor motion, and discuss the state-of-art of conductor motion mitigation technologies and methodologies; review lessons learned by utilities and the line design issues that cause conductor motion. Marker-ball caused shield wire motion is also included. This tutorial will discuss conductor motion management, mitigation measures, and preventive measures to improve the resilience of transmission lines.