ORCID Profile
0000-0001-5215-478X
Current Organisations
Free University of Bozen-Bolzano
,
University of Wollongong
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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) | Electrical and Electronic Engineering | Power and Energy Systems Engineering (excl. Renewable Power) | Data security and protection | Cybersecurity and privacy | Machine learning not elsewhere classified | Industrial Electronics
Renewable Energy not elsewhere classified | Energy Transmission and Distribution (excl. Hydrogen) | Hydrogen Storage |
Publisher: Elsevier BV
Date: 2012
Publisher: IEEE
Date: 23-09-2022
Publisher: IEEE
Date: 10-2014
Publisher: IEEE
Date: 17-12-2021
Publisher: IEEE
Date: 09-2013
Publisher: IEEE
Date: 09-10-2022
Publisher: EDP Sciences
Date: 2019
DOI: 10.1051/E3SCONF/201911104024
Abstract: The Solar Decathlon is an international competition that challenges collegiate teams from around the world to design and build functioning, sustainable, solar powered houses. The competition is split into ten sub-contests which vary from competition to competition. Contests are a combination of juried (judged by a panel experts) or measured (such as energy usage and thermal comfort) contests. This paper will focus on the measured contests, in particular energy management, comfort conditions and house functioning. To ensure optimal house performance during the competition, extensive energy and thermal modelling is required to ensure the solar PV and on-site energy storage can achieve net-zero energy while also ensuring the heating, ventilation and air conditioning (HVAC) system can meet the strict indoor thermal comfort requirements set by the competition. This paper will review the energy and thermal modelling process of Team UOW Australia’s net-positive energy house, the ‘Desert Rose’, that achieved second place in the Solar Decathlon Middle East (SDME) competition in 2018. Upon reviewing the energy modelling process, the results from the energy simulations will be compared to the real data that was obtained during the SDME competition to determine the validity of the energy simulations and the subsequent benefits of in-depth energy modelling for competing in a Solar Decathlon.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2013
Publisher: IEEE
Date: 11-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 09-10-2022
Publisher: Walter de Gruyter GmbH
Date: 22-09-2004
Abstract: Distributed Generation (DG) can help in reducing the cost of electricity to the costumer, relieve network congestion and provide environmentally friendly energy close to load centers. Its capacity is also scalable and it provides voltage support at distribution level. Hence, DG placement and penetration level is an important problem for both the utility and DG owner. The cost of electricity as a commodity depends upon market model. The restructured power markets are slowly maturing with standardizations like Standard Market Design (SMD). The key feature of SMD is the Locational Marginal Pricing (LMP) scheme. This paper examines placement and penetration level of the DGs under the SMD framework. The proposed approach is illustrated by case studies on MATPOWER 30 bus and IEEE 118 bus systems.
Publisher: IEEE
Date: 07-2020
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 05-2014
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Date: 28-06-2021
Publisher: Elsevier BV
Date: 2018
Publisher: IET
Date: 2011
DOI: 10.1049/CP.2011.0525
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: IEEE
Date: 08-2018
Publisher: IEEE
Date: 11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Publisher: IEEE
Date: 09-2016
Publisher: IEEE
Date: 05-2014
Publisher: IEEE
Date: 09-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: Springer Science and Business Media LLC
Date: 23-02-2019
Publisher: Informa UK Limited
Date: 03-07-2018
Publisher: IEEE
Date: 20-05-2022
Publisher: IEEE
Date: 2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Allied Publishers Pvt. Ltd
Date: 2003
Publisher: IEEE
Date: 09-2015
Publisher: Elsevier BV
Date: 07-2013
Publisher: IEEE
Date: 05-2018
Publisher: IEEE
Date: 07-2014
Publisher: Elsevier BV
Date: 06-2015
Publisher: IEEE
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2001
Publisher: Elsevier BV
Date: 2022
Publisher: IEEE
Date: 09-2016
Publisher: Elsevier BV
Date: 05-2019
Publisher: MDPI AG
Date: 12-2021
DOI: 10.3390/EN14238026
Abstract: The development of cooperative control strategies for microgrids has become an area of increasing research interest in recent years, often a result of advances in other areas of control theory such as multi-agent systems and enabled by rapid advances in wireless communications technology and power electronics. Though the basic concept of cooperative action in microgrids is intuitively well-understood, a comprehensive survey of this approach with respect to its limitations and wide range of potential applications has not yet been provided. The objective of this paper is to provide a broad overview of cooperative control theory as applied to microgrids, introduce other possible applications not previously described, and discuss recent advances and open problems in this area of microgrid research.
Publisher: Institution of Engineering and Technology (IET)
Date: 08-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 12-2015
Publisher: IEEE
Date: 10-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Institution of Engineering and Technology (IET)
Date: 10-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2014
Publisher: IEEE
Date: 2006
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 05-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2014
Publisher: IEEE
Date: 02-01-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institution of Engineering and Technology (IET)
Date: 06-07-2018
Publisher: IEEE
Date: 2005
Publisher: Elsevier BV
Date: 08-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: Elsevier BV
Date: 11-2021
Publisher: IEEE
Date: 2009
Publisher: Elsevier BV
Date: 05-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2014
Publisher: MDPI AG
Date: 07-08-2023
DOI: 10.3390/EN16155834
Abstract: Recent years have seen a rapid uptake in distributed energy resources (DER). Such technologies pose a number of challenges to network operators, which ultimately can limit the amount of rooftop solar photovoltaic (PV) systems that can be connected to a network. The objective of this industry-based research was to determine the potential network effects of forecast levels of customer-owned rooftop solar PV on Energy Queensland’s distribution network and formulate functions that can be used to determine such effects without the requirement for detailed network modeling and analysis. In this research, many of Energy Queensland’s distribution feeders were modeled using DIgSILENT PowerFactory and analyzed with forecast levels of solar PV and customer load. Python scripts were used to automate this process, and quasi-dynamic simulation (QDSL) models were used to represent the dynamic volt–watt and volt–var response of inverters, as mandated by the Australian Standard AS/NZS 4777. In analyzing the results, linear relationships were revealed between the number of PV systems on a feeder and various network characteristics. Regression was used to form trend equations that represent the linear relationships for each scenario analyzed. The trend equations provide a way of approximating network characteristics for other feeders under various levels of customer-owned rooftop solar PV without the need for detailed modeling.
Publisher: Institution of Engineering and Technology
Date: 2013
DOI: 10.1049/CP.2013.1798
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 09-2016
Publisher: IEEE
Date: 09-2017
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 11-2016
Publisher: Elsevier BV
Date: 10-2012
Publisher: IEEE
Date: 20-05-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Publisher: Elsevier BV
Date: 11-2017
Publisher: IEEE
Date: 09-2013
Publisher: IEEE
Date: 2006
Publisher: IEEE
Date: 07-2009
Publisher: IEEE
Date: 10-2015
Publisher: Elsevier BV
Date: 06-2023
Publisher: IEEE
Date: 05-2018
Publisher: IEEE
Date: 09-2014
Publisher: Elsevier BV
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: MDPI AG
Date: 18-03-2022
DOI: 10.3390/EN15062225
Abstract: The emergence of distributed generation such as solar systems has introduced new challenges in distribution networks that are becoming more apparent with increasing penetration levels. The time mismatch between peak load and peak generation can make voltage levels in distribution networks swing towards extreme limits during a day. Distribution network service providers are struggling to cater for new distributed generation installations while ensuring that the quality of steady state supply voltage meets stipulated requirements. The segregation between medium and low voltage networks in control strategies may result in unnecessary or worse, opposing control actions leading to voltage issues and control on one side of the distribution network influencing the other. By developing an efficient volt/var control method, the steady state voltage level and voltage unbalance in a comprehensive distribution network can be controlled simultaneously. This paper analyses voltage issues and volt/var control in medium and low voltage networks as a whole, unabridged problem. This paper proposes a pragmatic and effective volt/var control method that addresses voltage regulation and voltage unbalance simultaneously using existing infrastructure. The proposed control method is implemented on three types of representative Australian distribution networks and results obtained demonstrate that the proposed volt/var control can simultaneously manage voltage level and voltage unbalance whilst reducing the number of tap change operations and maximizing solar penetration.
Publisher: IEEE
Date: 09-2014
Publisher: Elsevier BV
Date: 09-2016
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 12-2010
Publisher: IEEE
Date: 09-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: Walter de Gruyter GmbH
Date: 24-02-2005
Abstract: Availability Based Tariff (ABT) has been implemented in all the regional grids of India for improving grid discipline by frequency dependent pricing. Currently it is limited to short-term energy transactions between the beneficiary States and Central generating stations without the need for negotiations on price or quantum in real time. In the present scenario, Independent Power Producers (IPP), Captive Power Plants (CPP), small Distributed Generation (DG) like mini-turbine, fuel cell, etc., are not considered under ABT. DG units are normally modular in size and they can be placed close to consumers so as to reduce the T& D costs and losses. Hence, they need to be encouraged so as to meet the ever-increasing electricity demands of Indian power sector within the financial constraints. In this paper, impact of IPPs, CPPs and DGs on intra-State ABT is studied. This paper also proposes to study the impact of grid connected DG on network availability and reliability. The improvement in system reliability is studied after evaluating reliability indices like SAIFI, SAIDI, etc., with the inclusion of DG.
Publisher: Elsevier BV
Date: 09-2023
Publisher: MDPI AG
Date: 19-07-2023
DOI: 10.20944/PREPRINTS202307.1245.V1
Abstract: Recent years have seen a rapid uptake in distributed energy resources (DER). Such technologies pose a number of challenges to network operators, which can ultimately limit the amount of rooftop solar photovoltaics (PV) systems that can be connected to a network. The objective of this industry-based research was to determine the potential network effects of forecast levels of customer owned rooftop solar PV on Energy Queensland’s distribution network and formulate functions that can be used to determine such effects without the requirement for detailed network modeling and analysis. In this research, many of Energy Queensland’s distribution feeders were modelled using DIgSILENT PowerFactory and analyzed with forecast levels of solar PV and customer load. Python scripts were used to automate this process and quasi dynamic simulation (QDSL) models were used to represent the dynamic volt-watt and volt-var response of inverters, as mandated by the Australian Standard AS/NZS 4777. In analyzing the results, linear regression was used to form trend equations that represent various network characteristics against the number of PV connections. The trend equations provide a way of approximating network characteristics for other feeders under various levels of customer owned rooftop solar PV without the need for detail modeling.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2014
Publisher: Elsevier BV
Date: 02-2015
Publisher: IEEE
Date: 11-2018
Publisher: IEEE
Date: 11-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Publisher: Institution of Engineering and Technology (IET)
Date: 05-2017
Publisher: Journal of Modern Power Systems and Clean Energy
Date: 2022
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 02-02-2021
Publisher: Springer Science and Business Media LLC
Date: 11-12-2019
Publisher: IEEE
Date: 07-2011
Publisher: MDPI AG
Date: 15-11-2021
DOI: 10.3390/EN14227618
Abstract: Global electricity markets are undergoing a rapid transformation in their energy mix to meet commitments towards sustainable electric grids. This change in energy mix engenders significant challenges, specifically concerning the management of non-dispatchable energy resources. System and market operators are required to meet power system security and reliability requirements whilst providing electricity at competitive prices. An overview of electricity markets is provided in this paper with a critical appraisal of each market’s ability to manage the large-scale energy mix transition. This paper provides a commentary on the distinct features of electricity market models implemented around the world and highlights the barriers within these market models that are hindering the energy mix transition. Various researchers and policymakers are proposing solutions and market reforms for the smooth transitioning of the energy mix. This paper presents a systematic review of the proposed solutions in the literature and critiques the effectiveness and ease of implementation of the reviewed solutions. Research gaps and future research directions are indicated to promote further exploration towards the effective integration of large-scale renewable energy technologies.
Publisher: Elsevier BV
Date: 09-2022
Publisher: Elsevier BV
Date: 05-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2012
Publisher: IEEE
Date: 23-09-2022
Publisher: Elsevier BV
Date: 11-2022
Publisher: Springer International Publishing
Date: 2020
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 07-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Elsevier BV
Date: 2014
Publisher: Institution of Engineering and Technology (IET)
Date: 08-2014
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 07-2009
Publisher: IEEE
Date: 07-2020
Publisher: Elsevier BV
Date: 2012
Publisher: IEEE
Date: 10-2016
Publisher: Elsevier BV
Date: 06-2023
Publisher: IEEE
Date: 09-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2006
Publisher: Institution of Engineering and Technology (IET)
Date: 26-06-2019
Publisher: IEEE
Date: 11-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2014
Publisher: IEEE
Date: 11-2015
Location: Italy
Location: United States of America
Start Date: 2023
End Date: 12-2023
Amount: $440,145.00
Funder: Australian Research Council
View Funded ActivityStart Date: 10-2022
End Date: 10-2027
Amount: $5,000,000.00
Funder: Australian Research Council
View Funded Activity