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Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of ....Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of a futuristic power system with high penetration of PEDs. The intended outcomes will be a model and data jointly driven methodology for high-efficient and real-time stability assessment. The methodology developed in this project will support Australia's transition to a stable, secure, and low-carbon power grid.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100056
Funder
Australian Research Council
Funding Amount
$410,154.00
Summary
Accurate Fault Location Methods for Complex Power Networks. This project aims to devise novel algorithms to tackle one of the longstanding and challenging problems in power networks; finding the fault location in power lines. Recent bushfire preventive technologies that have been installed in power networks make the fault location process extremely challenging and time-consuming, leaving communities without power for many hours in extreme heatwave conditions.
The intended outcomes of the projec ....Accurate Fault Location Methods for Complex Power Networks. This project aims to devise novel algorithms to tackle one of the longstanding and challenging problems in power networks; finding the fault location in power lines. Recent bushfire preventive technologies that have been installed in power networks make the fault location process extremely challenging and time-consuming, leaving communities without power for many hours in extreme heatwave conditions.
The intended outcomes of the project are innovative algorithms that are able to pinpoint the fault location more accurately in complex networks, with many fewer measurement devices than conventional methods. This is expected to provide significant benefits for public safety and power supply reliability.Read moreRead less
Determination of the condition and strength capacity of in-service timber poles in energy networks. The project addresses an important issue facing power industries and engineering community worldwide, that is, reliable and optimal management of power distribution infrastructures. The outcomes lead to new technologies that not only provide great social-economic benefits but advance knowledge and practice of the research at international level.
Mitigating the risks of cyberattacks on cyber-physical power systems. Cyber threats are a pertinent issue facing power systems as part of national critical infrastructure. This project will develop a systematic theory to capture the dynamic risk propagation of cyberattacks on cyber-physical power systems. Focusing on the physical domain of cyber-physical power systems, the theory includes offline risk modelling with consideration of attack intentions for risk propagation of cyberattacks, an onli ....Mitigating the risks of cyberattacks on cyber-physical power systems. Cyber threats are a pertinent issue facing power systems as part of national critical infrastructure. This project will develop a systematic theory to capture the dynamic risk propagation of cyberattacks on cyber-physical power systems. Focusing on the physical domain of cyber-physical power systems, the theory includes offline risk modelling with consideration of attack intentions for risk propagation of cyberattacks, an online risk assessment method to quantify the risk propagation of cyberattacks, and resilient control strategies to mitigate cyberattack risks. The outcomes will not only advance knowledge in cyber-physical security but also facilitate an accelerated adoption of the increasing renewable energy sources into the power grid.Read moreRead less
The human side of energy security. This project plans to develop a decision enactment model to guide industry and policy makers in producing more effective energy decisions. Managing our energy supply to ensure access to reliable, affordable and sustainable energy is vital to Australian economic growth and quality of life. However, energy security is continually under threat from manipulation of supply, ageing infrastructure and natural disasters. Solutions from economic and engineering perspect ....The human side of energy security. This project plans to develop a decision enactment model to guide industry and policy makers in producing more effective energy decisions. Managing our energy supply to ensure access to reliable, affordable and sustainable energy is vital to Australian economic growth and quality of life. However, energy security is continually under threat from manipulation of supply, ageing infrastructure and natural disasters. Solutions from economic and engineering perspectives only partially address these issues because they overlook critical human factors that underpin energy security. The project plans to use a practice-based approach to examine energy-related firms and agencies to explain how decisions and actions that take place within these contexts shape our energy future.Read moreRead less
Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in ....Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in Australia's electricity distribution network planning and operation by considering future challenges such as integrating battery storage and electric vehicles into the grid, and thus providing reliable energy. The project expects to train next generation expert workforce for Australia's future power grid.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100059
Funder
Australian Research Council
Funding Amount
$445,007.00
Summary
Robust Renewables Hosting Capacity Enhancement for Distribution Networks. This project aims to quantify technical margins and devise novel robust renewables hosting capacity enhancement methods for active distribution networks. High renewables penetration has impaired power quality and network operational reliability, thus reducing renewables utilisation rate and impeding further installation. The intended outcomes are innovative data-driven robustness design methods against complex and uncertai ....Robust Renewables Hosting Capacity Enhancement for Distribution Networks. This project aims to quantify technical margins and devise novel robust renewables hosting capacity enhancement methods for active distribution networks. High renewables penetration has impaired power quality and network operational reliability, thus reducing renewables utilisation rate and impeding further installation. The intended outcomes are innovative data-driven robustness design methods against complex and uncertain operating conditions, which are able to secure increasing renewables penetration and installation. With emerging community battery and hydrogen electrolyser, a suite of operation and planning methods will be developed, allowing utility operators and government agencies to expedite zero-emission energy transition.Read moreRead less
Power system composite load modeling. Load modelling remains an open problem (and probably the most important unsolved problem) for the power industry world wide and is a priority for the research community in Australia. Without reliable load models it is impossible to perform accurate power system security assessment, which may lead to power system blackouts causing billions of dollars and hinder national security. This project aims at developing a composite load model and tackles all the up-to ....Power system composite load modeling. Load modelling remains an open problem (and probably the most important unsolved problem) for the power industry world wide and is a priority for the research community in Australia. Without reliable load models it is impossible to perform accurate power system security assessment, which may lead to power system blackouts causing billions of dollars and hinder national security. This project aims at developing a composite load model and tackles all the up-to-date most challenging problems using existing resources and expertise. It will provide one of the most valuable tools for the Australian power industry.Read moreRead less
Transition to Customer Response Driven Networks. The project seeks to develop an electrical network costing framework that appropriately rewards customers who act to reduce network stress. The solution to the existing explosion in distribution network costs is to develop customer-responsive solutions in demand management and use of storage. The aim of this project is to develop a framework for network costs that is driven by local congestion and which would reward customer-responsive solutions. ....Transition to Customer Response Driven Networks. The project seeks to develop an electrical network costing framework that appropriately rewards customers who act to reduce network stress. The solution to the existing explosion in distribution network costs is to develop customer-responsive solutions in demand management and use of storage. The aim of this project is to develop a framework for network costs that is driven by local congestion and which would reward customer-responsive solutions. The vision is that the aggregator would provide customers with communications/control equipment that would automate the changes in the responsiveness so that customer-generated load shifting would act to limit peaks.Read moreRead less
Tracing the impact of urban experimentation in water and energy domains. This proposal aims to investigate how the processes of experimenting with alternative urban infrastructure systems can lead to sustainable urban transformations. Focusing on the urban water and energy sectors, this project expects to generate new cross-sector knowledge regarding the transition dynamics associated with delivering sustainable urban futures. The anticipated outcomes of examining how innovations become mainstre ....Tracing the impact of urban experimentation in water and energy domains. This proposal aims to investigate how the processes of experimenting with alternative urban infrastructure systems can lead to sustainable urban transformations. Focusing on the urban water and energy sectors, this project expects to generate new cross-sector knowledge regarding the transition dynamics associated with delivering sustainable urban futures. The anticipated outcomes of examining how innovations become mainstream include, improved institutional strategies and enhanced policy and program interventions. This work expects to positively impact the value and associated outcomes of government and private investment in innovative urban infrastructures dedicated to advancing sustainable and resilient urban environments.Read moreRead less