ORCID Profile
0000-0002-4592-2784
Current Organisation
Queensland University of Technology
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Electrical and Electronic Engineering | Renewable Power and Energy Systems Engineering (excl. Solar Cells) | Power and Energy Systems Engineering (excl. Renewable Power) | Electrical and Electronic Engineering not elsewhere classified | Process Control and Simulation
Application Tools and System Utilities | Energy Storage, Distribution and Supply not elsewhere classified | Energy Services and Utilities | Energy Transmission and Distribution (excl. Hydrogen) |
Publisher: Institution of Engineering and Technology (IET)
Date: 28-06-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 18-06-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 20-06-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 23-02-2018
Publisher: Institution of Engineering and Technology (IET)
Date: 22-06-2018
Publisher: Springer Singapore
Date: 02-09-2018
Publisher: MDPI AG
Date: 25-07-2021
Abstract: The regulation of environmental impacts from agriculture can take place at various scales. In some nations, with federal systems of government, the multiscale nature of regulatory interventions can be confusing for farmers, not to mention costly and time-consuming to navigate. Regulatory overlap contributes to inefficiency and wastage in governance efforts, reduced trust in government action and can preclude positive environmental outcomes across the landscape. In this article, we explore how Australia’s national-level law has been applied to agricultural land use. We canvas the concepts of regulatory complexity and ambiguity, and argue for a more integrated and flexible policy mix that rewards positive behaviour and stewardship of natural capital. This model would provide financial and other personal gains for those who can demonstrate objectives are being met. Further empirical research on fine-tuning that policy mix, again across scale, is warranted.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2014
Publisher: IEEE
Date: 2018
Publisher: IEEE
Date: 07-2009
Publisher: Global Science and Technology Forum Pte Ltd
Date: 26-08-2013
Publisher: Global Science and Technology Forum
Date: 12-2013
Publisher: MDPI AG
Date: 04-04-2023
Abstract: Lithium-ion battery energy storage systems are made from sets of battery packs that are connected in series and parallel combinations depending on the application’s needs for power. To achieve optimal control, advanced battery management systems (ABMSs) with health-conscious optimal control are required for highly dynamic applications where safe operation, extended battery life, and maximum performance are critical requirements. The majority of earlier research assumed that the battery cells in these energy storage systems were identical and would vary uniformly over time in terms of cell characteristics. However, in real-world situations, the battery cells might behave differently for a number of reasons. Overcharging and over-discharging are caused by an electrical imbalance that results from the cells’ differences in properties and capacity. Therefore in this study, a stratified real-time control scheme was developed for the dual purposes of minimizing the capacity fade and the energy losses of a battery pack. Each of the cells in the pack is represented by a degradation-conscious physics-based reduced-order equivalent circuit model. In view of the inconsistencies between cells, the proposed control scheme uses a state estimator such that the parametric values of the circuit elements in the cell model are determined and updated in a decentralized manner. The minimization of the capacity fade and energy losses is then formulated as a multiobjective optimization problem, from which the resulting optimal control strategy is realized through the switching actions of a modular multilevel series-parallel converter which interconnects the battery pack to an external AC system. A centralized controller ensures optimal switching sequence of the converter leading to the maximum utilization of the capacity of the battery pack. Both simulation and experimental results are used to verify the proposed methodologies which aim at minimizing the battery degradation by reconfiguring the battery cells dynamically in accordance with the state of health (SOH) of the pack.
Publisher: IEEE
Date: 07-2018
Publisher: IEEE
Date: 10-2014
Publisher: IEEE
Date: 07-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Publisher: BMJ
Date: 10-08-2010
Abstract: In work for the World Alliance for Patient Safety on research methods and measures and on defining key concepts for an International Patient Safety Classification (ICPS), it became apparent that there was a need to try to understand how the meaning of patient safety and underlying concepts relate to the existing safety and quality frameworks commonly used in healthcare. To unfold the concept of patient safety and how it relates to safety and quality frameworks commonly used in healthcare and to trace the evolution of the ICPS framework as a basis of the electronic capture of the component elements of patient safety. The ICPS conceptual framework for patient safety has its origins in existing frameworks and an international consultation process. Although its 10 classes and their semantic relationships may be used as a reference model for different disciplines, it must remain dynamic in the ever-changing world of healthcare. By expanding the ICPS by examining data from all available sources, and ensuring rigorous compliance with the latest principles of informatics, a deeper interdisciplinary approach will progressively be developed to address the complex, refractory problem of reducing healthcare-associated harm.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Publisher: IEEE
Date: 08-2018
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: MDPI AG
Date: 27-02-2022
DOI: 10.3390/SU14052796
Abstract: The transport sector is one of the leading contributors of anthropogenic climate change. Particularly, internal combustion engine (ICE) dominancy coupled with heavy private motor vehicle dependency are among the main issues that need to be addressed immediately to mitigate climate change and to avoid consequential catastrophes. As a potential solution to this issue, electric vehicle (EV) technology has been put forward and is expected to replace a sizable portion of ICE vehicles in the coming decades. Provided that the source of electricity is renewable energy resources, it is expected that the wider uptake of EVs will positively contribute to the efforts in climate change mitigation. Nonetheless, wider EV uptake also comes with important issues that could challenge urban power systems. This perspective paper advocates system-level thinking to pinpoint and address the undesired externalities of EVs on our power grids. Given that it is possible to mobilize EV batteries to act as a source of mobile-energy supporting the power grid and the paper coins, and conceptualize a novel concept of Mobile-Energy-as-a-Service (MEaaS) for system-wide integration of energy, transport, and urban infrastructures for sustainable electromobility in cities. The results of this perspective include a discussion around the issues of measuring optimal real-time power grid operability for MEaaS, transport, power, and urban engineering aspects of MEaaS, flexible incentive-based price mechanisms for MEaaS, gauging the public acceptability of MEaaS based on its desired attributes, and directions for prospective research.
Publisher: Elsevier BV
Date: 05-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 07-2012
Publisher: Institution of Engineering and Technology (IET)
Date: 04-12-2020
Publisher: Elsevier BV
Date: 02-2016
Publisher: Elsevier BV
Date: 10-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Publisher: Institution of Engineering and Technology (IET)
Date: 15-01-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2017
Publisher: IEEE
Date: 11-2017
Publisher: Institution of Engineering and Technology (IET)
Date: 20-11-2018
Publisher: Institution of Engineering and Technology (IET)
Date: 08-2013
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 11-2018
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 09-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Elsevier BV
Date: 2015
Publisher: Institution of Engineering and Technology (IET)
Date: 07-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 09-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 03-2016
Publisher: Elsevier BV
Date: 04-2023
Publisher: IEEE
Date: 09-2017
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 07-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2009
Publisher: IEEE
Date: 11-2017
Publisher: IEEE
Date: 05-12-2022
Publisher: Elsevier BV
Date: 03-2020
Publisher: Springer Science and Business Media LLC
Date: 12-03-2019
Publisher: IEEE
Date: 07-2010
Publisher: Elsevier BV
Date: 10-2019
Publisher: IEEE
Date: 10-2016
Publisher: IEEE
Date: 05-12-2021
Publisher: IEEE
Date: 07-2019
Publisher: IEEE
Date: 07-2018
Publisher: IEEE
Date: 17-07-2022
Publisher: Elsevier BV
Date: 12-2014
Publisher: IEEE
Date: 07-2014
Publisher: Institution of Engineering and Technology (IET)
Date: 06-07-2020
Publisher: Institution of Engineering and Technology (IET)
Date: 19-08-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 18-01-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
Publisher: IEEE
Date: 11-2017
Publisher: IEEE
Date: 07-2012
Publisher: Wiley
Date: 15-10-2018
DOI: 10.1002/TEE.22816
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 06-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2015
Publisher: MDPI AG
Date: 26-11-2018
DOI: 10.3390/EN11123296
Abstract: This paper presents an interactive trading decision between an electricity market operator, generation companies (GenCos), and the aggregators having demand response (DR) capable loads. Decisions are made hierarchically. At the upper-level, an electricity market operator (EMO) aims to minimise generation supply cost considering a DR transaction cost, which is essentially the cost of load curtailment. A DR exchange operator aims to minimise this transaction cost upon receiving the DR offer from the multiple aggregators at the lower level. The solution at this level determines the optimal DR amount and the load curtailment price. The DR considers the end-user’s willingness to reduce demand. Lagrangian duality theory is used to solve the bi-level optimisation. The usefulness of the proposed market model is demonstrated on interconnection of the Pennsylvania-New Jersey-Maryland (PJM) 5-Bus benchmark power system model under several plausible cases. It is found that the peak electricity price and grid-wise operation expenses under this DR trading scheme are reduced.
Publisher: IEEE
Date: 2013
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 07-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2009
Publisher: IEEE
Date: 11-2017
Publisher: Institution of Engineering and Technology (IET)
Date: 05-07-2018
Publisher: Springer International Publishing
Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2012
Publisher: Institution of Engineering and Technology (IET)
Date: 2014
Publisher: Institution of Engineering and Technology (IET)
Date: 14-06-2019
Publisher: IET
Date: 2009
DOI: 10.1049/CP.2009.1815
Publisher: IEEE
Date: 08-2018
Publisher: IEEE
Date: 09-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Publisher: Walter de Gruyter GmbH
Date: 2020
Abstract: The performance of the power system state estimation (SE) is influenced by the configuration of the meters and measurement redundancy. Therefore, the measurement set needs to be updated by installing new SCADA meters and phasor measurement units for improving the quality of the SE solution. However, the potential inconsistency between the existing meters and the new meters should be addressed. Otherwise, the additional meters may lead to numerical problems such as collinearity (linear dependence due to duplicated measurements) and the existence of high leverage points (HLPs) (influential measurements). Hence, this paper proposes an incremental meter placement method. The proposed method utilizes the HLPs and aims to improve the numerical performance of the SE and facilitate the elimination of bad data. The cuckoo search optimization is used for selecting the optimal locations and the numbers of the new meters. The performance of the proposed algorithm is tested on UK 18-bus, the IEEE 30-bus, and 118-bus systems and simulation results show improvements in the quality of the SE solution.
Publisher: IEEE
Date: 2013
Publisher: IEEE
Date: 10-2018
Publisher: Springer Science and Business Media LLC
Date: 12-2013
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 12-2008
DOI: 10.1111/J.1744-1609.2008.00117.X
Abstract: Patient safety has only recently been subjected to wide-spread systematic study. Healthcare differs from other high risk industries in being more erse and multi-contextual, and less certain and regulated. Also many patient safety problems are low-frequency events associated with many, varied contributing factors. The subject of this paper is the epistemology of patient safety (the science of the method of finding out about patient safety). Patient safety research is considered here on the background of a risk management framework which requires researchers to: • Understand the context - as a subset of healthcare quality, services and systems research, with technical and human behavioural (cultural) components and a range of external and internal organisational influences, a wide range of research disciplines is necessary • Identify the risks - identify the things that go wrong and the frequency and nature of different types of incidents from sources such as medical record review, observational studies, audit, incident and medico-legal reports • Analyse the risks - deconstruct the things that go wrong, identifying contributing factors and trying to detect trends and patterns in contributing factors, detection, mitigation factors, ameliorating factors and actions taken to reduce risk • Evaluate the risks - decide on priorities, identifying preventive and corrective strategies and judging the risk- and cost-benefit of potential corrective strategies such as standardisation or simplification of a process or device • Manage the risk - evaluate and scope preventive and/or corrective strategies and then implement these, or place the problem on a risk register pending solution, or accept that what is needed is unaffordable • Communicate and consult - use interactive sessions, audit, on-going feedback, reminders and patient mediated prompts • Monitor and review the state of the problem - get baseline trends and patterns so that changes can be tracked and properly attributed to an intervention A hierarchy of levels of evidence has been proposed for clinical research and we argue that insufficient weighting has been given to lower ranked levels of research and to qualitative research, although critical interpretive synthesis is now gaining acceptance in mainstream thinking (e.g. by the Cochrane Collaboration). Fundamental challenges remain including how to grasp the elusive concept of patient safety, how to quantify, characterise and cost the problems, how to judge the extent to which harm can be attributed to errors, violations or system failures, how to identify contributing factors and the extent to which they can be implicated, how to judge whether incidents or their precursors are preventable, how to generate strong evidence to make healthcare safer and how to translate research into practice. Future directions include addressing the mundane as well as rare, dramatic events, and developing further research in non-hospital settings and in developing countries. In summary, a mixture of qualitative and quantitative methods, using information from all available data sources and combining retrospective, real time and prospective study designs, is necessary to address some of the more difficult patient safety problems.
Publisher: IEEE
Date: 11-2016
Publisher: IGI Global
Date: 2010
DOI: 10.4018/978-1-60566-737-9.CH005
Abstract: Adjustable speed induction generators, especially the Doubly-Fed Induction Generators (DFIG) are becoming increasingly popular due to its various advantages over fixed speed generator systems. A DFIG in a wind turbine has ability to generate maximum power with varying rotational speed, ability to control active and reactive by integration of electronic power converters such as the back-to-back converter, low rotor power rating resulting in low cost converter components, etc, DFIG have become very popular in large wind power conversion systems. This chapter presents an extensive literature survey over past 25 years on the different aspects of DFIG. Application of H8 Controller for enhanced DFIG-WT performance in terms of robust stability and reference tracking to reduce mechanical stress and vibrations is also demonstrated in the chapter.
Publisher: IEEE
Date: 07-2010
Publisher: Elsevier BV
Date: 2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Publisher: IEEE
Date: 05-2019
Publisher: IEEE
Date: 11-2016
Publisher: Cambridge University Press (CUP)
Date: 13-06-2023
DOI: 10.1017/EXT.2023.14
Publisher: IEEE
Date: 07-2009
Publisher: IEEE
Date: 08-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Wiley
Date: 16-07-2015
DOI: 10.1002/9781118991978.HCES201
Abstract: With increasing penetration of rooftop photovoltaic ( PV ) systems in the low voltage distribution systems, over voltage problem has become ubiquitous. Abnormal voltage profile not only deteriorates the life of various equipments connected to the network but also increases the chances of fire leading to financial losses and life threatening hazards. Therefore, it is important to keep the voltage profile within acceptable limits. Recently, the reducing cost of battery energy systems ( BES s) has made it possible to deploy them for voltage control purposes. The excess energy produced by PVs during the day can be stored in BES and used in the night. Using the coordinated control of PV and BES , that is, the reactive capability of the PV inverter and the charging/discharging of BES , both overvoltage and voltage dip problems can be alleviated. However, the high resistive characteristic of the distribution feeder limits the effectiveness of reactive power for voltage control purposes. Moreover, there is a need of effective coordination of different PV and BES in the system to achieve this goal. Hence, a coordinated communication system is proposed which requires communication network protocol for all the PV system and BES in the network. This article discusses the feasibility of utilizing the existing power line communication ( PLC ) for improving the voltage profile of the distribution network.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2016
Publisher: IEEE
Date: 09-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: IEEE
Date: 11-2013
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Hindawi Limited
Date: 05-11-2018
DOI: 10.1002/ETEP.2757
Publisher: Journal of Modern Power Systems and Clean Energy
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Publisher: IEEE
Date: 09-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2016
Publisher: Elsevier BV
Date: 11-2021
Publisher: IEEE
Date: 10-2012
Publisher: Institution of Engineering and Technology (IET)
Date: 15-02-2018
Publisher: MDPI AG
Date: 05-09-2018
DOI: 10.3390/EN11092340
Abstract: Increasing penetration levels of asynchronous wind turbine generators (WTG) reduce the ability of the power system to maintain adequate frequency responses. WTG with the installation of battery energy storage systems (BESS) as wind-storage systems (WSS), not only reduce the intermittency but also provide a frequency response. Meanwhile, many studies indicate that using the dynamic droop coefficient of WSS in primary frequency control (PFC) based on the prediction values, is an effective way to enable the performance of WSS similar to conventional synchronous generators. This paper proposes a PFC for WSS with a prediction-based droop coefficient (PDC) according to the re-bid process under real-time spot market rules. Specifically, WSS update the values of the reference power and droop coefficient discretely at every bidding interval using near-term wind power and frequency prediction, which enables WSS to be more dispatchable in the view of transmission system operators (TSOs). Also, the accurate prediction method in the proposed PDC-PFC achieves the optimal arrangement of power from WTG and BESS in PFC. Finally, promising simulation results for a hybrid power system show the efficacy of the proposed PDC-PFC for WSS under different operating conditions.
Publisher: Institution of Engineering and Technology (IET)
Date: 07-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2015
Publisher: Elsevier BV
Date: 11-2017
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 07-2018
Publisher: IEEE
Date: 09-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 10-2015
Publisher: Wiley
Date: 04-06-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 09-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: IEEE
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 16-07-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2020
Publisher: IEEE
Date: 09-2016
Publisher: IEEE
Date: 12-2017
Start Date: 2016
End Date: 2018
Funder: Australian Research Council
View Funded ActivityStart Date: 10-2012
End Date: 12-2015
Amount: $479,892.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2022
End Date: 05-2025
Amount: $490,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2016
End Date: 12-2019
Amount: $435,000.00
Funder: Australian Research Council
View Funded Activity