ORCID Profile
0000-0003-4471-8471
Current Organisation
RMIT University, Melbourne
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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.
Renewable Power and Energy Systems Engineering (excl. Solar Cells) | Artificial Intelligence and Image Processing | Electrical and Electronic Engineering | Deep learning | Fuzzy computation | Pattern Recognition and Data Mining | Control engineering mechatronics and robotics | Control engineering | Expert Systems |
Energy Storage, Distribution and Supply not elsewhere classified | Energy Services and Utilities | Renewable Energy not elsewhere classified | Residential Energy Conservation and Efficiency | Energy Systems Analysis |
Publisher: IEEE
Date: 10-2012
Publisher: IEEE
Date: 06-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2010
Publisher: IEEE
Date: 11-2017
Publisher: IEEE
Date: 02-2019
Publisher: IEEE
Date: 06-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 12-2020
Publisher: IEEE
Date: 10-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Institution of Engineering and Technology (IET)
Date: 04-2015
Publisher: IEEE
Date: 05-2014
Publisher: IEEE
Date: 07-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: Institution of Engineering and Technology (IET)
Date: 10-04-2019
Publisher: IEEE
Date: 05-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 10-2017
Publisher: IEEE
Date: 09-2019
Publisher: IEEE
Date: 07-2015
Publisher: MDPI AG
Date: 29-11-2022
DOI: 10.3390/EN15239016
Abstract: With the growing pressure to substitute fossil fuel-based generation, Renewable Energy Sources (RES) have become one of the main solutions from the power sector in the fight against climate change. Offshore wind farms, for ex le, are an interesting alternative to increase renewable power production, but they represent a challenge when being interconnected to the grid, since new installations are being pushed further off the coast due to noise and visual pollution restrictions. In this context, Multi-Terminal High Voltage Direct Current (MT-HVDC) networks are the most preferred technology for this purpose and for onshore grid reinforcements. They also enable the delivery of power from the shore to offshore Oil and Gas (O& G) production platforms, which can help lower the emissions in the transition away from fossil fuels. In this work, we review relevant aspects of the operation and control of MT-HVDC networks for wind power integration. The review approaches topics such as the main characteristics of MT-HVDC projects under discussion/commissioned around the world, rising challenges in the control and the operation of MT-HVDC networks and the modeling and the control of the Modular Multilevel Converter (MMC) stations. To illustrate the challenges on designing the control system of a MT-HVDC network and to corroborate the technical discussions, a simulation of a three-terminal MT-HVDC network integrating wind power generation and offshore O& G production units to the onshore grid is performed in Matlab’s Simscape Electrical toolbox. The results highlight the main differences between two alternatives to design the control system for an MT-HVDC network.
Publisher: Wiley
Date: 05-04-2021
DOI: 10.1002/WENE.399
Abstract: Increasing power system stability challenges are being witnessed worldwide, while transitioning toward low‐carbon grids with a high‐share of power electronic converter (PEC)‐interfaced renewable energy sources (RESs) and distributed energy resources (DERs). Concurrently, new technologies and operational strategies are being implemented or proposed to tackle these challenges. Since electricity grids are deregulated in many jurisdictions, such technologies need to be integrated within a market framework, which is often a challenge in itself due to inevitable regulatory delays in updating grid codes and market rules. It is also highly desirable to ensure that an economically feasible optimal technology mix is integrated in the power system, without imposing additional burdens on electricity consumers. This article provides a comprehensive overview of emerging power system stability challenges posed by PEC‐interfaced RES and DER, particularly related to low inertia and low system strength conditions, while also introducing new technologies that can help tackle these challenges and discussing the need for suitable techno‐economic considerations to integrate them into system and market operation. As a key point, the importance of recognizing the complexity of system services to guarantee stability in low‐carbon grids is emphasized, along with the need to carefully integrate new grid codes and market mechanisms in order to exploit the full benefits of emerging technologies in the transition toward ultra‐low carbon futures. This article is categorized under: Energy Systems Economics Economics and Policy Energy Systems Analysis Systems and Infrastructure Energy and Development Systems and Infrastructure
Publisher: Elsevier BV
Date: 11-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: IEEE
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: IEEE
Date: 07-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Publisher: IEEE
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 09-2017
Publisher: IEEE
Date: 09-2017
Publisher: IEEE
Date: 09-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Publisher: Elsevier BV
Date: 10-2014
Publisher: Elsevier BV
Date: 05-2022
Publisher: IEEE
Date: 07-2010
Publisher: IEEE
Date: 02-2019
Publisher: Elsevier BV
Date: 11-2013
Publisher: Hindawi Limited
Date: 23-11-2012
DOI: 10.1002/ETEP.1711
Publisher: MDPI AG
Date: 20-04-2021
DOI: 10.3390/EN14082328
Abstract: This paper presents a comparative analysis of six s ling techniques to identify an efficient and accurate s ling technique to be applied to probabilistic voltage stability assessment in large-scale power systems. In this study, six different s ling techniques are investigated and compared to each other in terms of their accuracy and efficiency, including Monte Carlo (MC), three versions of Quasi-Monte Carlo (QMC), i.e., Sobol, Halton, and Latin Hypercube, Markov Chain MC (MCMC), and importance s ling (IS) technique, to evaluate their suitability for application with probabilistic voltage stability analysis in large-scale uncertain power systems. The coefficient of determination (R2) and root mean square error (RMSE) are calculated to measure the accuracy and the efficiency of the s ling techniques compared to each other. All the six s ling techniques provide more than 99% accuracy by producing a large number of wind speed random s les (8760 s les). In terms of efficiency, on the other hand, the three versions of QMC are the most efficient s ling techniques, providing more than 96% accuracy with only a small number of generated s les (150 s les) compared to other techniques.
Publisher: Springer International Publishing
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Publisher: IEEE
Date: 07-2011
Publisher: MDPI AG
Date: 25-10-2022
DOI: 10.3390/EN15217902
Abstract: The design and operation of performant and safe electric vehicles depend on precise knowledge of the behavior of their electrochemical energy storage systems. The performance of the battery management systems often relies on the discrete-time battery models, which can correctly emulate the battery characteristics. Among the available methods, electric circuit-based equations have shown to be especially useful in describing the electrical characteristics of batteries. To overcome the existing drawbacks, such as discrete-time simulations for parameter estimation and the usage of look-up tables, a set of equations has been developed in this study that solely relies on the open-circuit voltage and the internal resistance of a battery. The parameters can be obtained from typical cell datasheets or can be easily extracted via standard measurements. The proposed equations allow for the direct analytical determination of available discharge capacity and the available energy content depending on the discharge current, as well as the Peukert exponent. The fidelity of the proposed system was validated experimentally using 18650 NMC and LFP lithium-ion cells, and the results are in close agreement with the datasheet.
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 12-2018
Publisher: Elsevier BV
Date: 11-2014
Publisher: IEEE
Date: 10-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Wiley
Date: 08-03-2018
DOI: 10.1002/WENE.292
Abstract: Electricity networks are evolving rapidly with the large‐scale integration of power electronic (PE)‐interfaced distributed renewable energy resources (DRERs). With this rapid deployment of PE‐interfaced renewables, requirements set for the PE‐interfaced DRERs have also evolved to maintain grid security and reliability. Fault ride‐through (FRT) is an essential requirement which should be adhered by DRERs, which will ensure security and reliability of the power system during grid faults. This paper critically reviews the existing FRT standards (grid‐code requirements) and FRT strategies implemented/ proposed for major DRERs, such as wind energy conversion systems (WECSs), solar photovoltaic (PV) systems, and microgrids. According to the review, robust FRT strategies are implemented roposed DRERs, however, the FRT grid codes are presently developed with the perspective of both synchronous and renewable generation operating in the power system. However, this current approach should be augmented considering 100% PE‐based renewable energy scenarios, and emerging issues, such as high penetration of PE‐interfaced small‐scale renewable generators (e.g., domestic solar‐PV systems) and recurring grid faults, to achieve a sustainable renewable energy future. This article is categorized under: Concentrating Solar Power Systems and Infrastructure Wind Power Systems and Infrastructure Photovoltaics Systems and Infrastructure
Publisher: IEEE
Date: 09-2019
Publisher: IEEE
Date: 07-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2016
Publisher: Elsevier BV
Date: 12-2023
Publisher: IEEE
Date: 12-2018
Publisher: Institution of Engineering and Technology
Date: 2013
DOI: 10.1049/CP.2013.1797
Publisher: IEEE
Date: 10-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Publisher: IEEE
Date: 12-2009
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: IEEE
Date: 2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: IEEE
Date: 06-2018
Publisher: Institution of Engineering and Technology (IET)
Date: 21-12-2017
Publisher: Elsevier BV
Date: 02-2015
Publisher: Hindawi Limited
Date: 10-03-2016
DOI: 10.1002/ETEP.2064
Publisher: Elsevier BV
Date: 03-2014
Publisher: Institution of Engineering and Technology (IET)
Date: 07-08-2023
DOI: 10.1049/STG2.12123
Abstract: The past two decades have seen a rapid increase in electric vehicles (EVs) for several reasons, such as policy directives to reduce carbon emissions in the transport sector and technology advancements in the EV industry. However, this has increased the load demand on the power grid, especially in the low‐voltage (LV) network, as most EVs are charged at EV owner premises. This paper investigates the impact of EVs on the LV residential distribution network using a probabilistic modelling framework. Probability distribution functions for EV charging power are derived using the United Kingdom (UK) EV dataset. The study has investigated multiple EV penetration levels, different probability distribution functions for EV charging representation, vehicle‐to‐grid (V2G), solar photovoltaic (PV) generation, and the volt‐var capability of the solar‐PV inverter. The results have shown that as EV penetration increases in the distribution network, there is a significant increase in transformer loading and a decrease in the steady‐state voltage levels. V2G has positively impacted the distribution network. A case study carried out on a real LV feeder with solar‐PV generation has shown how PV generation and volt‐var functionality of the PV inverter help reduce the impact of EV charging and V2G.
Publisher: Springer International Publishing
Date: 2014
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 02-2019
Publisher: MDPI AG
Date: 05-06-2022
DOI: 10.3390/EN15114151
Abstract: The move towards a greener energy mix to fight climate change propels investments in converter-interfaced resources such as wind and photovoltaics, energy storage systems and electric vehicles. The ongoing evolution of the power system is occurring at a very fast pace, challenging transmission and distribution system operators to seek solutions that are not only adequate for this moment but also for future scenarios. Ongoing research in the fields of power electronics, power systems and control aims at developing control strategies that will help the energy transition to occur, while keeping a stable, secure and reliable power system. The objective of this paper is to present a critical review of the control strategies developed for grid-connected power converters found in renewable energy systems, energy storage systems and electric vehicles. The impact of grid-connected converters on the stability of power grids is also reviewed, highlighting the promising control strategies for enhancing system stability.
Publisher: Elsevier BV
Date: 09-2016
Publisher: MDPI AG
Date: 15-02-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 02-2019
Publisher: IEEE
Date: 08-2017
Publisher: MDPI AG
Date: 03-07-2020
DOI: 10.3390/EN13133441
Abstract: The energy sector is currently undergoing a rapid transformation with the integration of power electronic converter (PEC)-interfaced renewable energy sources (RES), such as wind and solar photovoltaic (PV) systems, at both the transmission and distribution networks. Power system stability has been significantly influenced by this power grid transformation. This paper comprehensively reviews major power system stability issues affected due to large-scale integration of PEC-interfaced RES in power grids, with some ex le case studies relevant for each stability category. According to the review, stability issues are mainly originating from reduction in synchronous inertia, reduction in reactive power reserve, low short-circuit strength of the power network, and fault ride-through (FRT) strategy/capability of the PEC-interfaced RES. Decrease in synchronous inertia could affect both the rotor angle stability and the frequency stability, while decrease in short-circuit strength and reactive power reserve could cause voltage stability and rotor angle stability issues in power networks. Sub-synchronous control interactions are also receiving a lot of attention by the power industry due to increasing oscillatory stability incidents reported in power networks with PEC-interfaced RES. FRT capabilities/strategies of PEC-interfaced RES are also playing a pivotal role in power grid stability due to its influence on active and reactive power, hence more emphasis should be placed on FRT schemes of PEC-interfaced RES, since future power grids are expected to operate with 100% PEC-interfaced generation sources. Stability improvement strategies could be implemented to address multiple stability issues in PEC-interfaced power networks however, rigorous stability studies are required to identify the optimal conditions to implement these improvement strategies. Furthermore, ongoing structural changes in power grids to accommodate remotely sited PEC-interfaced RES are also influencing the stability of power grids. Therefore, all these factors must be carefully considered by system operators when planning and operating power grids in a secure and stable manner with high penetration levels of PEC-interfaced RES.
Publisher: IEEE
Date: 2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: IEEE
Date: 09-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2014
Publisher: Institution of Engineering and Technology (IET)
Date: 10-2014
Publisher: MDPI AG
Date: 21-06-2021
DOI: 10.3390/EN14123680
Abstract: Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to the clean and low-carbon renewable energy sources [...]
Publisher: IEEE
Date: 10-2012
Publisher: Institution of Engineering and Technology (IET)
Date: 05-2017
Publisher: IEEE
Date: 11-2018
Publisher: Elsevier BV
Date: 11-2013
Publisher: Elsevier BV
Date: 04-2023
Publisher: Wiley
Date: 02-03-2010
DOI: 10.1002/ETEP.410
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: IEEE
Date: 07-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 09-2008
Publisher: IEEE
Date: 10-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Elsevier BV
Date: 05-2020
Publisher: IEEE
Date: 12-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Elsevier BV
Date: 12-2015
Publisher: IEEE
Date: 10-2012
Publisher: IEEE
Date: 09-2015
Publisher: Elsevier BV
Date: 12-2022
Publisher: IEEE
Date: 12-2017
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2020
End Date: 2020
Funder: C4NET
View Funded ActivityStart Date: 03-2018
End Date: 12-2023
Amount: $362,675.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2023
End Date: 12-2025
Amount: $470,740.00
Funder: Australian Research Council
View Funded ActivityStart Date: 04-2020
End Date: 12-2022
Amount: $321,000.00
Funder: Australian Research Council
View Funded Activity