Overview
Background
Dr Archie Chapman is an Associate Professor in Computer Science in the School of IT and Electrical Engineering.
Archie develops and applies principled artificial intelligence, game theory, optimisation and machine learning methods to solve large-scale and dynamic allocation, scheduling and queuing problems. His recent research has focused on applications of these techniques to problems in future power systems, such as integrating large amounts of renewable power generation and using batteries and flexible loads to provide power network and system services, while making best use of legacy network and generation infrastructure.
Prior to joining UQ, Archie was Research Fellow in Smart Grids at the University of Sydney (2011-2019), and a postdoc fellow at the University of Southampton (2009-2010), where he completed his PhD.
Availability
- Associate Professor Archie Chapman is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor, The University of Queensland
- Doctor of Philosophy, University of Southampton
Works
Search Professor Archie Chapman’s works on UQ eSpace
2021
Journal Article
Probabilistic assessment of impact of flexible loads under network tariffs in low-voltage distribution networks
Azuatalam, Donald, Chapman, Archie C. and Verbic, Gregor (2021). Probabilistic assessment of impact of flexible loads under network tariffs in low-voltage distribution networks. Journal of Modern Power Systems and Clean Energy, 9 (4) 9195103, 951-962. doi: 10.35833/MPCE.2019.000136
2021
Journal Article
Network congestion management: experiences from Bruny Island using residential batteries
Chapman, Archie, Fraser, Andrew, Jones, Laura, Lovell, Heather, Scott, Paul, Thiebaux, Sylvie and Verbic, Gregor (2021). Network congestion management: experiences from Bruny Island using residential batteries. IEEE Power and Energy Magazine, 19 (4) 9461711, 41-51. doi: 10.1109/mpe.2021.3072818
2021
Conference Publication
Computationally-efficient energy management in buildings with phase change materials using approximate dynamic programming
Rahimpour, Zahra, Verbic, Gregor and Chapman, Archie C. (2021). Computationally-efficient energy management in buildings with phase change materials using approximate dynamic programming. 2021 IEEE Madrid PowerTech, Madrid, Spain, 28 June-2 July 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PowerTech46648.2021.9495053
2021
Conference Publication
Optimal energy management strategy for smart home with electric vehicle
Yi, Yu, Verbic, Gregor and Chapman, Archie C. (2021). Optimal energy management strategy for smart home with electric vehicle. 2021 IEEE Madrid PowerTech, Madrid, Spain, 28 June-2 July 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PowerTech46648.2021.9494787
2021
Journal Article
Electrical-distance driven peer-to-peer energy trading in a low-voltage network
Guerrero, Jaysson, Sok, Bunyim, Chapman, Archie C. and Verbič, Gregor (2021). Electrical-distance driven peer-to-peer energy trading in a low-voltage network. Applied Energy, 287 116598, 116598. doi: 10.1016/j.apenergy.2021.116598
2021
Conference Publication
Practical considerations of DER coordination with distributed optimal power flow
Gebbran, Daniel, Mhanna, Sleiman, Chapman, Archie C., Hardjawana, Wibowo, Vucetic, Branka and Verbic, Gregor (2021). Practical considerations of DER coordination with distributed optimal power flow. 2020 International Conference on Smart Grids and Energy Systems (SGES), Perth, WA, Australia, 23 - 26 November 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/sges51519.2020.00044
2021
Journal Article
Fair coordination of distributed energy resources with Volt-Var control and PV curtailment
Gebbran, Daniel, Mhanna, Sleiman, Ma, Yiju, Chapman, Archie C. and Verbič, Gregor (2021). Fair coordination of distributed energy resources with Volt-Var control and PV curtailment. Applied Energy, 286 116546, 116546. doi: 10.1016/j.apenergy.2021.116546
2021
Journal Article
Peer-to-peer energy systems for connected communities: a review of recent advances and emerging challenges
Tushar, Wayes, Yuen, Chau, Saha, Tapan K., Morstyn, Thomas, Chapman, Archie C., Alam, M. Jan E., Hanif, Sarmad and Poor, H. Vincent (2021). Peer-to-peer energy systems for connected communities: a review of recent advances and emerging challenges. Applied Energy, 282 116131, 116131. doi: 10.1016/j.apenergy.2020.116131
2021
Conference Publication
Emerging frequency control mechanisms in IBR dominated power systems
Maurer, Nicholas, Wilson, Stephen and Chapman, Archie C. (2021). Emerging frequency control mechanisms in IBR dominated power systems. IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) Conference, Brisbane, QLD, Australia, 5-8 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISGTASIA49270.2021.9715666
2020
Journal Article
Enhanced battery controller for inertia support in residential microgrid based on active disturbance rejection control
Wang, Bowen, Verbič, Gregor, Xiao, Weidong and Chapman, Archie C. (2020). Enhanced battery controller for inertia support in residential microgrid based on active disturbance rejection control. Electric Power Systems Research, 189 106646, 106646. doi: 10.1016/j.epsr.2020.106646
2020
Journal Article
Actor-critic learning for optimal building energy management with phase change materials
Rahimpour, Zahra, Verbič, Gregor and Chapman, Archie C. (2020). Actor-critic learning for optimal building energy management with phase change materials. Electric Power Systems Research, 188 106543, 106543. doi: 10.1016/j.epsr.2020.106543
2020
Journal Article
Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer energy trading
Guerrero, Jaysson, Gebbran, Daniel, Mhanna, Sleiman, Chapman, Archie C. and Verbič, Gregor (2020). Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer energy trading. Renewable and Sustainable Energy Reviews, 132 110000, 110000. doi: 10.1016/j.rser.2020.110000
2020
Journal Article
A nonparametric Bayesian methodology for synthesizing residential solar generation and demand data
Power, Thomas, Verbic, Gregor and Chapman, Archie C. (2020). A nonparametric Bayesian methodology for synthesizing residential solar generation and demand data. IEEE Transactions on Smart Grid, 11 (3) 8932542, 2511-2519. doi: 10.1109/tsg.2019.2956785
2020
Journal Article
Assessment of residential battery storage systems and operation strategies considering battery aging
Foerstl, Markus, Azuatalam, Donald, Chapman, Archie, Verbic, Gregor, Jossen, Andreas and Hesse, Holger (2020). Assessment of residential battery storage systems and operation strategies considering battery aging. International Journal of Energy Research, 44 (2), 718-731. doi: 10.1002/er.4770
2020
Journal Article
Multi-stage compound real options valuation in residential PV-Battery investment
Ma, Yiju, Swandi, Kevin, Chapman, Archie C. and Verbič, Gregor (2020). Multi-stage compound real options valuation in residential PV-Battery investment. Energy, 191 116537, 1-10. doi: 10.1016/j.energy.2019.116537
2020
Conference Publication
A photovoltaic system investment game for assessing network hosting capacity allocations
Ma, Yiju, Gebbran, Daniel, Chapman, Archie C. and Verbič, Gregor (2020). A photovoltaic system investment game for assessing network hosting capacity allocations. Eleventh ACM International Conference on Future Energy Systems, Online, 22-26 June 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3396851.3397736
2020
Conference Publication
Coordination of prosumer agents via distributed optimal power flow: An edge computing hardware prototype
Gebbran, Daniel, Verbič, Gregor, Chapman, Archie C. and Mhanna, Sleiman (2020). Coordination of prosumer agents via distributed optimal power flow: An edge computing hardware prototype. Autonomous Agents and Multiagent Systems, Auckland, New Zealand, 9-13 May 2020. New York, NY, United States: Association for Computing Machinery.
2019
Journal Article
A novel probabilistic framework to study the impact of photovoltaic-battery systems on low-voltage distribution networks
Ma, Yiju, Azuatalam, Donald, Power, Thomas, Chapman, Archie C. and Verbič, Gregor (2019). A novel probabilistic framework to study the impact of photovoltaic-battery systems on low-voltage distribution networks. Applied Energy, 254 113669, 113669. doi: 10.1016/j.apenergy.2019.113669
2019
Journal Article
Energy management of small-scale PV-battery systems: a systematic review considering practical implementation, computational requirements, quality of input data and battery degradation
Azuatalam, Donald, Paridari, Kaveh, Ma, Yiju, Foerstl, Markus, Chapman, Archie C. and Verbic, Gregor (2019). Energy management of small-scale PV-battery systems: a systematic review considering practical implementation, computational requirements, quality of input data and battery degradation. Renewable and Sustainable Energy Reviews, 112, 555-570. doi: 10.1016/j.rser.2019.06.007
2019
Journal Article
Decentralized P2P energy trading under network constraints in a low-voltage network
Guerrero, Jaysson, Chapman, Archie C. and Verbic, Gregor (2019). Decentralized P2P energy trading under network constraints in a low-voltage network. IEEE Transactions on Smart Grid, 10 (5), 5163-5173. doi: 10.1109/tsg.2018.2878445
Supervision
Availability
- Associate Professor Archie Chapman is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
-
Electricity market contract design
New contracts for electrical power system servics have the potential to reduce costs by unlocking or harnessing load-side flexibility. The goal of this project is find ways to financially link customer and building load flexibility with wholesale market dispatch, pricing and risk management.
Supervision history
Current supervision
-
Doctor Philosophy
Scaling Towards Solving Realistic Environments with Combined Planning and Learning
Principal Advisor
-
Doctor Philosophy
Coupling Customer Energy Resources and Dynamic Operating Envelopes Towards Firm Energy Solutions
Principal Advisor
Other advisors: Dr Joe Lane
-
Doctor Philosophy
Scaling Towards Solving Realistic Environments with Combined Planning and Learning
Principal Advisor
-
Doctor Philosophy
Demand Profile Modeling for Low-Voltage Distribution System
Principal Advisor
Other advisors: Dr Miao Xu
-
Doctor Philosophy
Scaling Towards Solving Realistic Environments with Combined Planning and Learning
Principal Advisor
-
Master Philosophy
Essays on electricity market design for the energy transition
Associate Advisor
Other advisors: Dr Allan Hernandez Chanto
-
Doctor Philosophy
Improving neuroevolution using ideas from deep learning and optimization
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
Doctor Philosophy
Multi-objective optimisation and multi-agent learning for IoT devices.
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
Doctor Philosophy
Multi-objective optimisation and multi-agent learning for IoT devices.
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
Doctor Philosophy
Analysis of complex hydrogen energy networks for Australian conditions
Associate Advisor
Other advisors: Dr Yuanshen Lu, Dr Alexander Klimenko
-
Doctor Philosophy
Evolving Modular Neural Networks: Investigating the Role of Modularity and Linkage Learning in Neuroevolution
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
Doctor Philosophy
Improving neuroevolution using ideas from deep learning and optimization
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
Completed supervision
-
2025
Doctor Philosophy
Scaling Towards Solving Realistic Environments with Combined Planning and Learning
Principal Advisor
-
2024
Doctor Philosophy
Training Robust Deep Reinforcement Learning Policies in the Real World
Principal Advisor
Other advisors: Professor Pauline Pounds
-
2022
Doctor Philosophy
Fast and Robust Adaptive State Estimation for Large-scale Integration of Distributed Energy Resources
Principal Advisor
Media
Enquiries
Contact Associate Professor Archie Chapman directly for media enquiries about:
- Battery energy storage
- Electricity markets
- Home energy management
- Rooftop PV
Need help?
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