Automating and Quality Controlling Grid Connection Studies

Register to hear from MathWorks Australia’s electrical engineering team on how to automate your grid connection workflows.

Electrical engineering studies, such as grid connection and design reviews, require significant and ongoing work to ensure the design meets regulatory and functional requirements.  For example, a grid connection application must meet both AEMO DMAT and GPS requirements as well as the functional requirements of the project at hand.  Managing these requirements can be challenging during the design process as a small change to a minor component or layout cascades through the dynamic electrical system and needs to be validated against DMAT and GPS requirements. This is a time-consuming exercise if you are not automatically checking all requirements. 

We will present an automated workflow, inspired by certification heavy industries such as the aerospace and automotive industries, which formally maps out requirements and traces them through automated quality control processes to link requirements to the model component that implements the requirements, the code that automatically validates the requirements, which finally automatically builds the documentation showing these results.  We will demonstrate this using Simscape Electrical, however the workflow as presented is agnostic of the power system model and will work with AEMO recommended packages.

Speakers

Dr Muhammad Ali

Dr Muhammad Ali is an Application Engineer at MathWorks and works closely with Simulink and Simscape customers to understand their business objectives and ensure that they are getting the most value out of our products and services. Ali has a background in renewable energy integration, microgrids, battery management systems and retrofitting existing aircraft into electric. He did his PhD from UNSW Australia where he got the opportunity to work on dispatchable inverter control techniques for microgrids, and testing off-the-shelf PV inverters while working (in partnership with AEMO) on an ARENA funded project.

Dr Peter Brady

Dr Peter Brady is a Principal Application Engineer with a background in numerical simulation, analysis and high-performance computing.  Peter covers these areas of the MathWorks products as well as machine learning, deep learning, deployment, cloud and certification.  He has worked on numerous projects across the electrical sector, including load forecasting and dispatch algorithms, user account analysis and high-performance simulation for grid model parameter evaluation.  Peter has a PhD in Mechanical Engineering and a Bachelors in Civil Engineering, both from UTS, and is a Chartered Practicing Engineer with Engineers Australia (CPEng NER) and a Certified Professional with the Australian Computer Society (MACS CP).