Overview

This intensive industry training workshop, hosted at the Siemens Swinburne Energy Transition Hub, will help you expand your expertise and gain practical skills to address evolving challenges in the energy sector.

It builds upon the foundation established in Industrial Training Course: PSS®E Module 1 to further equip you with advanced PSS®E skills.

Who should attend

This course is ideal for industry professionals, faculty members and students with an intermediate background in power systems and familiarity with PSS®E software, including those who have completed Industrial Training Course: PSS®E Module 1.

*The course fee is subject to discount for the students and clients of Swinburne, Siemens and the Siemens Swinburne Energy Transition Hub.

Skills you’ll learn

  • Advanced power system understanding
  • Advanced power flow analysis
  • Comprehensive fault analysis
  • Dynamic simulation expertise
  • Effective contingency analysis
  • Proficiency in power system software
  • Python API integration
  • Regulatory knowledge
  • Problem solving
  • Delivering solutions

Learning outcomes

  • Develop in-depth knowledge of advanced power system concepts and principles
  • Master the use of specialised power system software to create complex network projects
  • Conduct advanced power flow studies to optimise energy distribution and voltage profiles in power systems
  • Acquire advanced skills in fault analysis, including data management and key system properties calculation
  • Gain proficiency in dynamic simulations, including initialisation, disturbance application and simulation execution
  • Learn techniques for contingency analysis, ranking scenarios and system resilience improvement
  • Explore integration of Python APIs for automation and enhanced data analysis
  • Deepen understanding of industry regulations and their practical applications

About your instructors

  • Associate Professor Mehdi Seyedmahmoudian

    Professor Mehdi Seyedmahmoudian is a Professor at the SoSCET at Swinburne University of Technology, Australia. His research interests include renewable Energy systems, Artificial Intelligence, and application of emerging technologies, like VR-AR, in Complex Engineering problems. He strongly believes in industry engagement research initiatives and has stablished several research partnerships with external industries during his academic career. Mehdi has been chief/partner investigator of more than $15.7M funding application submission, including $6.4 successfully funded projects. He is among the top 2% researchers in the world based on his research performance within in EE and energy disciplines in 2020.
  • Jose Moreira

    Jose Moreira brings over two decades of extensive experience in the energy sector to his role as General Manager at Siemens Grid Software Australia. With a background that spans from engineering to project management, Jose has held various key positions within Siemens, including Regional Manager and Project Manager, as well as Commissioning and Configuration Engineer. His deep market knowledge and expertise encompass the entire spectrum of energy automation, SCADA systems, and communication solutions for industries and utilities, covering Transmission, Distribution, and Generation.

Why Swinburne?

Delivered by facilitators who are industry experts

Participant course training manual

Live Online delivery allows you to do the course from anywhere

Access to our team of Customer Development Advisors

Upcoming dates
Day(s)
Time
Industrial Training Course: PSS®E Module 2
Day(s)
8 - 12 July 2024
Time
09:00 AM - 05:00 PM

Course duration

Please note that this course will run for five days. Participants will need to attend all five days to cover the entire module.

What your course could look like

Key topics
Advanced power system fundamentals, including complex structures and phenomena
PSS®E software for complex project development
Advanced power flow to optimise load distribution and voltage profiles
Dynamic simulations to initialise cases and apply disturbances
Contingency analysis techniques, including transfer limits calculation and ranking
Python API integration to generate violation reports
Market operator grid connection regulations and their practical applications

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