Fault Approximation Tool for Grid-Connected Inverter-Interfaced Distributed Generators

Paper

Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2014. "Fault Approximation Tool for Grid-Connected Inverter-Interfaced Distributed Generators." Abu-Siada, A. and Masoum, M. A. S. (ed.) 2014 Australasian Universities Power Engineering Conference (AUPEC 2014). Perth, Australia 28 Sep - 01 Oct 2014 Perth, Australia. https://doi.org/10.1109/AUPEC.2014.6966578

Paper/Presentation Title	Fault Approximation Tool for Grid-Connected Inverter-Interfaced Distributed Generators
Presentation Type	Paper
Authors	Kennedy, Joel (Author), Ciufo, Phil (Author) and Agalgaonkar, Ashish (Author)
Editors	Abu-Siada, A. and Masoum, M. A. S.
Journal or Proceedings Title	Proceedings of the 2014 Australasian Universities Power Engineering Conference (AUPEC 2014)
ERA Conference ID	50279
Number of Pages	6
Year	2014
Place of Publication	Perth, Australia
ISBN	9780646923758
Digital Object Identifier (DOI)	https://doi.org/10.1109/AUPEC.2014.6966578
Web Address (URL) of Paper	https://ieeexplore.ieee.org/document/6966578
Conference/Event	2014 Australasian Universities Power Engineering Conference (AUPEC 2014)
	Australasian Universities Power Engineering Conference
Event Details	2014 Australasian Universities Power Engineering Conference (AUPEC 2014) Event Date 28 Sep 2014 to end of 01 Oct 2014 Event Location Perth, Australia
Event Details	Australasian Universities Power Engineering Conference AUPEC
Abstract	A novel fault approximation tool (FAT) is presented for use in distribution networks with a high penetration of inverter-interfaced distributed generation. The FAT does not rely on balanced operation nor an absolute reference point for voltage calculations, both of which are required for Newton-Raphson load flow calculations. Simulations show that the FAT provides an accurate representation of the transient and steady-state fault response for unbalanced faults when juxtaposed with a detailed small-signal model. The 'sub-transient' response of the inverter-interfaced distributed generation is omitted to remove data considered extraneous from the perspective of distribution line protection analysis. The FAT is not appropriate for analysing the efficacy of distributed generation local protection and is inappropriate for islanded applications. The FAT is designed explicitly for the purpose of utility line protection design and analysis.
Keywords	Electric equipment protection; Electric inverters; Electric load flow
ANZSRC Field of Research 2020	400805. Electrical energy transmission, networks and systems
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.
Byline Affiliations	University of Wollongong
Institution of Origin	University of Southern Queensland

Permalink -

https://research.usq.edu.au/item/q6w9q/fault-approximation-tool-for-grid-connected-inverter-interfaced-distributed-generators

45
total views
3
total downloads
1
views this month
0
downloads this month

Export as

Related outputs

Fostering Enduring Peer Learning Groups for 1st Year Students

Brown, Jason, Kennedy, Joel, Raj, Nawin and Quinton, Matthew. 2023. "Fostering Enduring Peer Learning Groups for 1st Year Students." 34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023). Gold Coast, Australia 03 - 06 Dec 2023 Australia. Australasian Association for Engineering Education.

A proposed hedge-based energy market model to manage renewable intermittency

Johnathon, Chris, Agalgaonkar, Ashish Prakash, Planiden, Chayne and Kennedy, Joel. 2023. "A proposed hedge-based energy market model to manage renewable intermittency." Renewable Energy. 207, pp. 376-384. https://doi.org/10.1016/j.renene.2023.03.017

Optimal power flow with conventional and non-conventional generating resources in modern grids considering environmental impacts

Johnathon, Chris, Agalgaonkar, Ashish, Kennedy, Joel and Afandi, Izzah. 2020. "Optimal power flow with conventional and non-conventional generating resources in modern grids considering environmental impacts." 29th Australasian Universities Power Engineering Conference (AUPEC 2019). Nadi, Fiji 26 - 29 Nov 2019 United States. https://doi.org/10.1109/AUPEC48547.2019.243753

Cost Allocation of Voltage Unbalance in Distribution Networks

Kennedy, Joel, Morcos, Martina and Lo, Assane. 2020. "Cost Allocation of Voltage Unbalance in Distribution Networks." 19th International Conference on Harmonics and Quality of Power (ICHQP 2020). Dubai, United Arab Emirates 06 - 07 Jul 2020 https://doi.org/10.1109/ICHQP46026.2020.9177935

Voltage-based storage control for distributed photovoltaic generation with battery systems

Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2016. "Voltage-based storage control for distributed photovoltaic generation with battery systems." Journal of Energy Storage. 8, pp. 274-285. https://doi.org/10.1016/j.est.2016.10.007

A review of protection systems for distribution networks embedded with renewable generation

Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2016. "A review of protection systems for distribution networks embedded with renewable generation." Renewable and Sustainable Energy Reviews. 58, pp. 1308-1317. https://doi.org/10.1016/j.rser.2015.12.258

A Proposed Algorithm for the Self-Healing of Power Distribution Networks

Johnathon, Chris and Kennedy, Joel. 2018. "A Proposed Algorithm for the Self-Healing of Power Distribution Networks." Sharma, Anurag and Hao, Quan (ed.) 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT). Singapore 22 - 25 May 2018 Singapore. https://doi.org/10.1109/ISGT-Asia.2018.8467816

Protection analysis tool for distribution networks with a high embedded generation penetration

Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2018. "Protection analysis tool for distribution networks with a high embedded generation penetration." International Journal of Electrical Power and Energy Systems. 107, pp. 605-614. https://doi.org/10.1016/j.ijepes.2018.12.001

Construction site layout optimization model considering cost and safety in a dynamic environment

Jaafar, Kamal, Elbarkouky, Raghda and Kennedy, Joel. 2020. "Construction site layout optimization model considering cost and safety in a dynamic environment." Asian Journal of Civil Engineering. 22 (2), pp. 297-312. https://doi.org/10.1007/s42107-020-00314-3

Solar and sand: Dust deposit mitigation in the desert for PV arrays

Kennedy, Joel, Lo, Assane, Rajamani, Haile-Selassie and Lutfi, Saad. 2021. "Solar and sand: Dust deposit mitigation in the desert for PV arrays." Sustainable Energy, Grids and Networks. 28, pp. 1-7. https://doi.org/10.1016/j.segan.2021.100531

Analyzing Electricity Markets with Increasing Penetration of Large-Scale Renewable Power Generation

Johnathon, Chris, Agalgaonkar, Ashish Prakash, Kennedy, Joel and Planiden, Chayne. 2021. "Analyzing Electricity Markets with Increasing Penetration of Large-Scale Renewable Power Generation." Energies. 14 (22), pp. 1-15. https://doi.org/10.3390/en14227618

Intelligent Load Management in Microgrids

Kennedy, J., Ciufo, P. and Agalgaonkar, A.. 2012. "Intelligent Load Management in Microgrids." 2012 IEEE Power and Energy Society General Meeting. San Diego, United States 22 - 26 Jul 2012 United States. https://doi.org/10.1109/PESGM.2012.6345729

Over-voltage mitigation within distribution networks with a high renewable distributed generation penetration

Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2014. "Over-voltage mitigation within distribution networks with a high renewable distributed generation penetration." Kuzle, Igor, Capuder, Tomislav and Pandzic, Hrvoje (ed.) 2014 IEEE International Energy Conference (ENERGYCON). Cavtat, Croatia 13 - 16 May 2014 New York, United States. https://doi.org/10.1109/ENERGYCON.2014.6850562

An Evaluation Framework to Assess the Performance of Electricity Market Models

Johnathon, Chris, Agalgaonkar, Ashish, Planiden, Chayne and Kennedy, Joel. 2022. "An Evaluation Framework to Assess the Performance of Electricity Market Models." 2022 IEEE Industry Applications Society Annual Meeting (IAS 2022). Detroit, USA 09 - 14 Oct 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IAS54023.2022.9939826