An Evaluation Framework to Assess the Performance of Electricity Market Models

Paper


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
Paper/Presentation Title

An Evaluation Framework to Assess the Performance of Electricity Market Models

Presentation TypePaper
AuthorsJohnathon, Chris, Agalgaonkar, Ashish, Planiden, Chayne and Kennedy, Joel
Journal or Proceedings TitleProccedings of 2022 IEEE Industry Applications Society Annual Meeting (IAS 2022)
Number of Pages7
Year2022
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
Digital Object Identifier (DOI)https://doi.org/10.1109/IAS54023.2022.9939826
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/9939826
Web Address (URL) of Conference Proceedingshttps://ieeexplore.ieee.org/xpl/conhome/9939685/proceeding
Conference/Event2022 IEEE Industry Applications Society Annual Meeting (IAS 2022)
Event Details
2022 IEEE Industry Applications Society Annual Meeting (IAS 2022)
Parent
Industry Applications Society Annual Meeting
Delivery
In person
Event Date
09 to end of 14 Oct 2022
Event Location
Detroit, USA
Abstract

Electricity markets around the world are undergoing a rapid transformation from a centralized structure involving large-scale fossil fuel-based generation to several small-scale, widespread generating technologies such as the variable renewable energy. The existing electricity markets were developed for conventional generators; integration of more VRE into grids can lead to adverse events within these market models. As a result, new market designs are being developed to reform the structure of existing electricity markets. In this paper, an evaluation framework is proposed to aid decision makers in assessing the performance of the newly developed electricity markets. The proposed evaluation framework assesses a market model based on five desirable attributes of electricity markets: Economic Efficiency, Macroeconomic Stability, Sustainability, Revenue Stability, and Viability. Furthermore, the applicability of the proposed market evaluation framework is demonstrated using various market designs.

Keywordsenergy markets; market modeling; risk management; power system economics and variable renewable energy
ANZSRC Field of Research 20204099. Other engineering
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsUniversity of Wollongong
University of Southern Queensland
Permalink -

https://research.usq.edu.au/item/z58z1/an-evaluation-framework-to-assess-the-performance-of-electricity-market-models

  • 29
    total views
  • 2
    total downloads
  • 2
    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
Fault Approximation Tool for Grid-Connected Inverter-Interfaced Distributed Generators
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
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