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Enabling

UNSW Addressing Barriers to Efficient Renewable Integration

  • $982k

    ARENA Funding

  • $2.30m

    Total Project Value

  • Project basics

    ARENA Program

    Advancing renewables

    Lead Organisation

    UNSW

    Start Date

    Aug 2016

    Project Partners

    ElectraNet, TasNetworks, AEMO

    Location

    New South Wales

    Status

    Current

Project Basics

ARENA Program

Advancing renewables

Lead Organisation

UNSW

Start Date

Aug 2016

Project Partners

ElectraNet, TasNetworks, AEMO

Location

New South Wales

Status

Current

Summary

Identifying and addressing the roadblocks to having high degrees of renewable energy deployment related to system integration.

How the project works

This Project will focus on frequency control, ancillary services, and electricity market rules/operating procedures. By using bench testing, UNSW will directly test the response of a range of photovoltaics (PV) and storage inverters to disturbances of different kinds on the network. In addition, the installation of high-speed disturbance records on key distribution network feeders will monitor and record behaviour during power system disturbances. Results from this will provide detailed information that can be used to develop a “composite PV-load model”.

Area of innovation

The composite PV-load model to be developed in the Project can be used by AEMO and Transmission Network Service Providers (TNSPs) to more accurately represent the behaviour of load with embedded PV. This model is critical for all system security studies, including determining network stability limits, and frequency control requirements. The current model used by TNSPs is outdated and in need of renewal so as to incorporate the response of rooftop PV.

Benefit

The Project will develop models and tools to facilitate longer-term planning for efficient frequency control. These models will be released publicly to support ongoing research and analysis. Specifically, the composite PV-load model will facilitate a wide range of useful studies, applying dynamic power system modelling to further understand system security limits. This will include power system studies to optimise the dynamic response of the system when dominated by emerging technologies, such as synchronous condensers (a motor which adjusts conditions on the electric power transmission grid) and batteries.

Contact information

John Fletcher

John.fletcher@unsw.edu.au