news and events

  • New CSIRO report

'Intelligent Grid report: a Value Proposition for Distributed Energy in Australia Please click here to access the CSIRO webpage: CSIRO Intelligent Grid Full Report

  • iGrid Perth Forum

The next forum will be held in Perth entitled "Intelligent Grid & Distributed Energy Solutions: A Roadmap for Western Australia". This forum will be held on the 11 March at the Technology Park Function Centre, Bently. This forum continues the process of developing the Australian Distributed Energy Roadmap. The Roadmap will provide an assessment of the potential for Distributed Energy and identify the barriers that inhibit its implementation. It will deliver a concise and practical set of recommendations to accelerate the deployment of Distributed Energy in Australia. You can access past presentations from the section Resources and Publications. Download the forum brochure by clicking here: iGrid Perth brochure

  • D-CODE Model now available

The Description and Cost of Distributed Energy (D-CODE) Model is a working model, designed to be transparent and accessible. We would appreciate your input in making D-CODE as useful and robust as possible. If you have comments, additional data, or feedback about D-CODE, please complete the online feedback form: D-CODE Feedback Form

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Optimal Siting

Full name
Optimal siting and dispatch of distributed generators

Description
This project investigates a range of generation technologies and their placement within the network to find the best opportunities for investment in certain technologies. Specifically, the project will use dynamic programming to guide the optimal scheduling for wind, solar, fuel cell and combustion generation given a grid-operating condition, and from there develop practical algorithms to intelligently respond to the grid requirements and customer needs.

In recent years, inverter prices have been falling and significant advances have occurred in battery technology. This means distributed generation can be more competitive with traditional generation than in the past.  Further, distributed storage can provide an attractive method of providing distributed generation support to a grid that is disrupted. One type of high-energy battery can also absorb energy off-peak and return that energy at peak times to provided enhanced network capacity.

The network studies will seek to develop tools to quantify network benefits of distributed generations such as:

reliability of supply
voltage support
harmonic reduction
dynamic stability
reduction in system losses

Research Team:
Queensland University of Technology

Expected Outcomes
Optimised siting of distributed generation to maximise reliability of distribution networks.

Better management of distributed generators to avoid or eliminate oscillation and harmful feedback.

Improved protection systems to integrate and manage islanded distributed generation supplies.

Reduced network losses and associated greenhouse gas emissions, by optimal siting of distributed resources

Controller for network-optimized performance for gas turbines and inverters.


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