OpenDSS Time-Series Power Flow Simulations

"OpenDSS Time-Series Power Flow Simulations" is a complete course designed for power system students, engineers, researchers, and professionals who want to master time-series (QSTS) simulations in OpenDSS. This course teaches you how to configure, run, and analyze time-series simulations to evaluate system behavior over time — a critical capability for modern distribution system studies.

You’ll begin by setting up your simulation environment, including both the OpenDSS standalone version and the Python-based py-dss-interface package. Then, you’ll understand how to simulate and analyze hourly, sub-hourly, and custom time-step scenarios using OpenDSS’s time-series modes.

As the course progresses, you’ll explore detailed result analysis using energymeter, monitor, and demand interval outputs, and learn to automate simulations using Python. You’ll also cover essential concepts such as loadshape configuration, control loop behavior, event logging, and how to simulate specific time steps or ranges of time.

Through hands-on exercises, you’ll develop the skills to conduct detailed feeder performance assessments, create custom automation workflows, and extract key metrics like voltages, losses, and power flows over time.

The course consists of 46 video lessons divided into 9 modules, with a total duration of approximately 5 hours. You'll be guided by Paulo Radatz, an experienced OpenDSS educator with over a decade of experience teaching and applying OpenDSS worldwide. All lessons are demonstrated on Windows to ensure smooth setup and usability.

By the end of this course, you’ll have a deep understanding of time-series simulation in OpenDSS and the confidence to use it for system studies, automation, and detailed analysis in academic, utility, or consulting environments.

This course offers lifetime access, a certificate of completion, and AI-generated subtitles in multiple languages, making it accessible and valuable to learners worldwide.