We carry out internationally-recognised research in the fields of energy and power networks and intelligent grid technologies towards the development of future electrical power grids.
The Centre for Future Energy Networks (CFEN) was established in the School of Electrical and Information Engineering in 2012. Our mission is to become Australia’s preeminent centre in research and advanced training oriented to an era of constrained-carbon systems. We aim to achieve this by promoting and supporting research sponsored by government and industrial partners in the areas of energy and power networks and key technologies in this field.
Our research is now reshaping electricity networks to fit the special conditions and challenges within Australia – that is, managing abundant energy sources for a relatively small population across large geographical areas. One such example is the National Electricity Market (NEM) transmission path down the east coast of Australia which is the longest in the world. We are also providing our talented students studying this field and industry partners with a deeper understanding of these ongoing obstacles.
We focus on a range of research initiatives orientated to an era of constrained-carbon systems. Our key areas are:
You can find our publications in the academic profiles of individual researchers by clicking on their name in each project.
The traditional highly-centralised grid structure is being questioned for its long-term suitability. New ideas such as microgrids and smart grids are likely to change grids especially at distribution levels. It must be secure, and interact with associated networks such as water, gas, transport and telecommunication. The centre works on a range of problems related to future energy grids including the impact of renewables, demand response and energy storage, and their impact on grid stability.
Our team can provide options for the national grid given scenarios for the energy mix trajectory over decades ahead. Our work focuses on the physical power systems and ensuring secure system operations and promoting efficient system expansion planning in industrial practices.
Together with industry partners nationally and internationally, CFEN has extensive experience in areas such as generic constraints for electricity market operations and planning, power system load modeling, power system Var control and prediction, power system forecasting and predictive control, fast simulation techniques for system dynamic analysis, electricity market simulation and system vulnerability and stability assessment techniques. Previous project deliverables have been used by the power industry in Australia, mainland China, Hong Kong and USA.
Our collaborators: University of Newcastle, University of Queensland, UNSW
Industry partners: Numerous industry and government stakeholders played an advisory role
We assisted the CSIRO in delivering the first analytical framework of its kind to systematically investigate the most economically efficient energy network (electricity and natural gas) configurations for Australia. With this framework, Australia will be able to identify the lowest cost pathway to integrate significant amounts of large and small scale renewables into our grid with existing technologies while maintaining operational stability. This will pave the way for significant emissions reductions in Australia’s most carbon intensive economic sector.
Advanced modelling and analytical techniques are now being developed to provide a suite of tools to expand our understanding of:
We will study scenarios out to 2050 driven by fuel prices, policy, market and grid planning paradigms. Analytical techniques are being developed for grid performance assessment and optimal design in terms of reliability, cost and carbon emission limits.
Our expert: Associate Professor Jin Ma
Supported by the University of Sydney Bridging Funding, this project will develop load modelling theories applicable to versatile loads with high modelling accuracy. Based on these new models, we will investigate the stability of an electricity network when the loads are more actively involved in system controls such as in demand-response schemes.
Work on distributed control was started with our participation in the Australian government’s Smart Grid Smart City (SGSC) project. This led to the view that smarter grids go beyond providing enhanced data from the grid; there should be more capability to operate and control the whole system in a distributed way with new structures, which would allow new technologies like demand-side control and control using energy storage. To achieve the required performance from any future grid, the control system will need to take account of diverse data; process this data in a timely and distributed manner; optimise across different voltage levels; and send appropriate control instructions for the optimum operation of all system components.
The fundamental building blocks for advanced smart grids are well established in our centre research, namely power networks and markets, telecommunications, data mining and learning, constrained optimisation, and distributed control. The research work is exploring demand response mechanisms, scaling solutions, reducing peak demand, enhancing reliability and then enabling new capabilities for future grids, particularly substantially decreasing levels of carbon emissions.
Our collaborators: Australian National University, University of Tasmania
Industry partners: Reposit Power and TasNetworks
CONSORT is a multi-disciplinary collaborative project that will develop an innovative automated control platform and new payment structures. It will enable consumers with PV-battery systems to provide support services to a constrained electricity network. These new capabilities will be demonstrated during peak load events on Bruny Island, Tasmania, to relieve the undersea cable supplying the island and reduce the need for expensive diesel generators.
Our collaborators: University of Hong Kong, Imperial College London
This proposal addresses the sustainability of electrical power delivery systems. The traditional paradigm of generation following demand, where millions of diverse customer actions are balanced with the controlled output of a small number of major generation plants, cannot handle the distributed and variable nature of solar and wind energy sources. We will study a new paradigm, which is adaptive in the sense of demand following generation. The load devices contribute to overall balancing and welfare of the system in processes of demand response and load control. Thus future smart loads, using advanced power electronics, and the control and communication systems must themselves be adaptive to the dynamically changing power generation and circumstances.
The four research teams will be led by internationally renowned experts in the key areas: power systems, power electronics, computer networking and control technology. The investigators will add special skills for particular projects. By integrating these areas in a balanced way, the aim is to build a unique research capability which can support the future industry in the Pearl River Region and beyond. The team will build on several of its own highly innovative ideas that have shown promise for the proposed research, namely (i) electric springs, (ii) granular modelling and control and (iii) adaptive networking (integrated with communication, control and security).
Our grid integration all aim to facilitate the greater penetration of new technologies such as distributed generation, large-scale renewable power, energy storage and electronic vehicles. Many projects involve novel designs for power electronic converters. A theme is how to ensure distributed generation and demand response can also participate in system services. Projects with vendors, including ABB for solar energy management systems, have begun or are being set up. This work informs the modeling needed for the planning and smart grids research.
This proposal aims to establish an essential part of infrastructure required for experimental research in the area of distributed resources under smart grid. The innovative theoretical methodologies being developed under existing or completed competitive research projects in this area will be validated through experimental research. The proposed experimental platform will also help to resolve technical issues related to future power supply systems including real-time data from smart meters, application of vehicle to grid systems, demand management, control and protection aspects under uncertain nature of renewable energy sources. This will bring together the researchers in this area to utilise the facility for collaborative research.
Energy systems are undergoing unprecedented transformations with the incorporation of renewable energy sources, advanced transmission facilities, and emerging power-to-gas technologies. All these changes, while potentially making energy system more responsive, efficient and resilient, also pose significant implementation challenges. This project aims to resolve key technical barriers to facilitate the deployment of clean energy highway, enabling operations across interdependent domains to ensure more sustainable solutions for energy generation, delivery, and utilisation in this new energy era. The outcome will include a sound and robust suite of models and associated methodologies for study, analysis, and design of the clean energy highway.