Building Dynamic Composite Load and Distributed PV Models for the National Electricity Market

Abstract: Australian Energy Market Operator (AEMO) uses power system models to assess power system performance under different conditions. The results from these studies inform operational and planning decisions, allowing AEMO to fulfill its responsibilities to maintain a secure power system. There are now significant quantities of distributed PV (DPV) installed in the National Electricity Market (NEM). DPV can produce complex behaviours during power system disturbances. It is therefore vital that it is accurately represented in AEMO’s power system models. Furthermore, the “ZIP” load models in use by AEMO, Network Service Providers (NSPs) and others were last tuned and validated in 1999, and the end-use load composition has changed considerably since this time. More sophisticated aggregate load models are now available, having been pioneered in other jurisdictions to better represent a range of power system phenomena. AEMO presents the combined development and validation of a composite load model (CMLD) and DPV model (DERAEMO1) in PSS®E. AEMO is also developing similar models in PSCAD and PowerFactory, which will be released after the PSS®E models are made public. Speakers: Filip Brnadic (Senior Engineer, AEMO) Speaker’s Bio: Filip Brnadic is a Senior Engineer and technical lead of the Operational DER Management team at the Australian Energy Market Operator (AEMO). In 2016, Filip received his BE in Electrical Power Engineering and BB in Business Management from Edith Cowan University. From 2016 to 2019, he was with DIgSILENT Pacific building power system models, performing studies and undertaking commissioning work for some of Australia’s largest industrial load customers, while also delivering training courses for DIgSILENT’s PowerFactory and StationWare software. Since 2019, Filip has developed load and DPV models for dynamic system studies in the NEM and is also a member of international (CIGRE C6.36 & SPIDERWG) working groups aiming to advance the current state of the art of modelling ‘future energy systems’.