IEEE PES Calendar

Blockchain technology is gaining momentum in revolutionizing power systems amidst the global transition towards renewable energy sources and climate change mitigation. As power systems evolve from large-scale, centralized systems to networks of small-sized, distributed electricity systems, blockchain's decentralized ledger capabilities offer efficient transaction management for small-scale power systems. With features like tamper-resistant data, privacy protection, […]

This tutorial covers the principles of load forecasting for distribution planning with a focus on the change in growth and characteristics of load introduced by electrification. The course begins with the planning process and load forecast as its first building block. It will cover the key requirements of a robust and defendable forecast via bottom-up […]

Grid-forming inverters and microgrids are helping to transform the electrical grid by enabling renewable energy integration and improving grid stability. Digital twins, or virtual models of these systems’ electrical and software components, are the key to optimize performance, monitor operations, and mitigate anomalies. Presenter(s): Jose Montoya Bedoya, Jose Montoya Bedoya

With the increasing adoption of renewables, decentralization of energy infrastructure, and the electrification of transportation, new challenges arise, including the need for enhanced reliability and efficiency. Presenter(s): Dr. Mohsen Aleenejad, MathWorks,

Sensors play a critical role in supporting day-today grid operations and they are essential to operator’s decision making process. Furthermore, sensors and sensor behaviors need to be emulated with grid simulations to perform modeling studies Presenter(s): • Burhan Hyder - PNNL- • Tse-Chun Chen - PNNL-

The DER functionalities specified in some grid codes (e.g. IEEE 1547 & Rule 21), and the associated communication interfaces are not suitable for direct integration with monitoring and control systems (e.g., DERMS). These functionalities were designed only to expose the raw, inherent capabilities of the DER, but (intentionally) omit additional logic, management features, and security […]

The changing landscape with the proliferation of distributed energy resources (DERs) introduces new challenges for utility operations and business as they face a large number of DERs with limited to no visibility and have to plan for infrastructure to accommodate their unpredictability. The traditional planning process is becoming less linear and more democratized, as modern […]

The increasing demand for advanced grid support functionality from a large number of DERs has sparked significant interest in that focuses on optimization methods for large-scale unbalanced power distribution systems, aimed at enhancing operational efficiency and resilience. Both the traditional mathematical optimization methods and machine-learning (ML) -based approaches are gaining traction to attain optimal solutions […]

The Automated Distributed Energy Resource Management System (DERMS) represents a groundbreaking advancement in grid management. By integrating demand response (DR) optimization into the DERMS engine’s objective function, the Automated DERMS enables efficient management of registered behind-the-meter (BTM) assets. These assets are pivotal in enhancing grid reliability, resiliency, and affordability. This tutorial will explore its integration […]