Power System Modeling & Simulation: Key Techniques for Modern Grid Studies

What This Webinar Covers

This webinar provides a comprehensive overview of power system modeling and simulation techniques across multiple timescales. Topics include:

• Quasi-static 8760-hour analysis
• Electromagnetic transient (EMT) studies
• Fault classification and detection
• Inverter-based resource (IBR) grid integration

Key Learning Objectives

Programmatic Network Construction & Multi-Fidelity Modeling

Attendees will learn how to:

• Construct power system networks programmatically from standard data formats
• Configure models for specific engineering objectives
• Work across fidelity levels, from quasi-static phasor simulation to switched-linear and nonlinear EMT analysis

Quasi-Static and EMT Simulation Workflows

Explore two critical simulation workflows:

• Quasi-static simulation: 8760-hour analysis on an IEEE 123-node distribution feeder for annual energy studies
• EMT simulation: Transmission system benchmarks including generator trip dynamics and asset relocation without network remodeling

Comprehensive Fault Studies & Machine-Learning Classification

Understand how to:

• Systematically inject faults at every node in a distribution system using EMT simulation
• Generate datasets to train machine-learning algorithms for automated fault detection and classification

Grid Integration of Inverter-Based Resources (IBRs)

Learn advanced techniques for IBR integration, including:

• Frequency scanning using admittance-based voltage perturbation in the DQ reference frame
• Simulation-based grid code compliance testing for grid-forming converters
• Assessment against published interconnection standards

How to Participate

This webinar is free to attend. Register now to secure your spot and gain insights into modern power system modeling and simulation techniques.