Power distribution systems are undergoing a significant transformation, driven by the growing integration of distributed energy resources (DERs)—such as rooftop solar, home batteries, electric vehicles, and flexible loads. At the same time, advances in information and communication technologies are enabling the shift from traditional passive systems, which feature unidirectional power flow and limited control, to active distribution systems that are decentralised, data-rich, and dynamically managed. This unit explores the technical, computational, and regulatory dimensions of this transition. The unit has a strong emphasis on computational modelling and optimisation techniques used in active distribution systems to deal with the new emerging challenges introduced by the widespread DER adoption, including voltage rise, reverse power flows and thermal loading. In this unit, students will learn to simulate DER behaviour using power flow algorithms designed specifically for multi-wire unbalanced distribution networks, model network components (lines, transformers, voltage regulators), and apply mathematical optimisation for DER scheduling and network operation. Topics such as optimal power flow, hosting capacity assessment, and inverter-based control (Volt–VAR, Volt–Watt) are explored in depth. The course also addresses interoperability standards and data modelling principles. Through practical exercises and case studies, students will gain the analytical and computational skills needed to manage modern distribution systems and contribute to the transition toward net-zero, resilient, customer-driven energy systems.
Unit details and rules
| Academic unit | School of Electrical and Computer Engineering |
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| Credit points | 6 |
| Prerequisites
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None |
| Corequisites
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None |
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Prohibitions
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None |
| Assumed knowledge
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Fundamentals of Electricity Networks, Control Systems and Telecommunications |
| Available to study abroad and exchange students | Yes |
Teaching staff
| Coordinator | Gregor Verbic, gregor.verbic@sydney.edu.au |
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