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Academic Publications
SMOULDER is a culmination of extensive research and development, made possible by the invaluable contributions of our co-authors, the insightful feedback from conference audiences, and the rigorous evaluation by our peer reviewers. We extend our sincere gratitude to all those who have played a part in shaping the academic journey behind SMOULDER. Their expertise, collaboration, and constructive inputs have been instrumental in refining our work and ensuring its credibility.
The following publications in esteemed peer-reviewed academic journals and conference proceedings highlight the key milestones of our research and represent a collective effort towards advancing the field of microgrid optimisation and renewable energy integration. We are immensely grateful for the opportunities to present our findings, engage in scholarly discussions, and receive valuable feedback at prestigious conferences and events.
We would like to express our appreciation to our co-authors for their dedication and collaboration, as well as to the conference audiences and peer reviewers for their critical insights and rigorous evaluation. It is through this collaborative exchange of knowledge that we continue to push the boundaries of research and contribute to a sustainable energy future.
Journal Papers
1. Mohseni S, Khalid R, Brent AC, 2023
Stochastic, resilience-oriented optimal sizing of off-grid microgrids considering EV-charging demand response: An efficiency comparison of state-of-the-art metaheuristics. Applied Energy, 341, 121007.
2. Mohseni S, Brent AC, 2022
Quantifying the effects of forecast uncertainty on the role of
different battery technologies in grid-connected solar photovoltaic/wind/micro-hydro micro-grids:
An optimal planning study. Journal of Energy Storage, 51, 104412.
3. Mohseni S, Brent AC, 2022
A Metaheuristic-Based Micro-Grid Sizing Model with Integrated
Arbitrage-Aware Multi-Day Battery Dispatching. Sustainability, 14, 12941.
4. Mohseni S, Khalid R, Brent AC, 2022
Metaheuristic-based isolated microgrid sizing and uncertainty quantification considering EVs as shiftable loads. Energy Reports, 8, 11288-11308.
5. Mohseni S, Brent AC, Burmester D, 2021
Off‐grid multi‐carrier microgrid design optimisation:
The case of Rakiura–Stewart Island, Aotearoa–New Zealand. Energies, 14, 6522.
6. Mohseni S, Brent AC, Kelly S, Browne WN, Burmester D, 2021
Modelling utility-aggregator-customer interactions in interruptible load programmes using non-cooperative game theory.
International Journal of Electrical Power and Energy Systems, 133, 107183.
7. Mohseni S, Brent AC, Kelly S, Browne WN, Burmester D, 2021
Strategic design optimisation
of multi-energy-storage-technology micro-grids considering a two-stage game-theoretic market
for demand response aggregation. Applied Energy, 287, 116563.
8. Mohseni S, Brent AC, Burmester D, Browne WN, 2021
Lévy-flight moth-flame optimisation
algorithm-based micro-grid equipment sizing: An integrated investment and operational planning
approach. Energy and AI, 3, 100047.
9. Mohseni S, Brent AC, 2020
Economic viability assessment of sustainable hydrogen
production, storage, and utilisation technologies integrated into on- and off-grid micro-grids: A
performance comparison of different meta-heuristics. International Journal of Hydrogen Energy,
45, 34412-34436.
10. Mohseni S, Brent AC, Burmester D, 2020
Community Resilience-Oriented Optimal Micro-
Grid Capacity Expansion Planning: The Case of Totarabank Eco-Village, New Zealand.
Energies, 13, 3970.
11. Mohseni S, Brent AC, Burmester D, 2020
A comparison of metaheuristics for the optimal
capacity planning of an isolated, battery-less, hydrogen-based micro-grid. Applied Energy, 259,
114224.
12. Mohseni S, Brent AC, Burmester D, 2019
A demand response-centred approach to the
long-term equipment capacity planning of grid-independent micro-grids optimized by the moth-
flame optimization algorithm. Energy Conversion and Management, 200, 112105.
Conference Papers
1. Mohseni S, Brent AC, 2022
Game-Theoretic Sectoral Demand Response Procurement in
Multi-Energy Microgrid Planning. IEEE Power & Energy Society General Meeting (PESGM),
Denver, USA.
2. Mohseni S, Brent AC, 2022
Co-Optimization of the Sizing and Dispatch of Microgrids Considering Vehicle-to-Grid and Arbitrage. 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC), Melbourne, Australia.
3. Mohseni S, Brent AC, 2022
Risk-based dispatch optimization of microgrids considering the
uncertainty in EV driving patterns. 17th International Conference on Probabilistic Methods
Applied to Power Systems (PMAPS), Manchester, UK.
4. Mohseni S, Khalid R, Brent AC, 2022
Data-driven, metaheuristic-based off-grid microgrid
capacity planning optimisation and scenario analysis: Insights from a case study of Aotea-Great
Barrier Island. Proceedings of the 2022 Electricity Engineers' Association (EEA) Conference &
Exhibition, Hamilton, New Zealand.
5. Mohseni S, Brent AC, Burmester D, Browne WN, Kelly S, 2021
Adding a Computationally-Tractable Probabilistic Dimension to Meta-Heuristic-Based Microgrid Sizing. IEEE Region 10
Conference (TENCON), Auckland, New Zealand.
6. Mohseni S, Brent AC, Burmester D, Browne WN, 2020
A game-theoretic approach to model
interruptible loads: Application to micro-grid planning. IEEE Power & Energy Society General
Meeting (PESGM), Montreal, Canada.
7. Mohseni S, Brent AC, Kelly S, 2020
A hierarchical, market-based, non-cooperative game-theoretic approach to projecting flexible demand-side resources: Towards more realistic
demand response integrated, long-term energy planning models. 17th International Conference
on the European Energy Market (EEM), Stockholm, Sweden.
8. Mohseni S, Brent AC, Burmester D, 2020
Power quality considerations in the planning phase
of stand-alone wind-powered micro-grids. 19th International Conference on Harmonics and
Quality of Power (ICHQP), Dubai, UAE.
9. Mohseni S, Brent AC, Burmester D, Chatterjee A, 2019
Stochastic Optimal Sizing of Micro-Grids Using the Moth-Flame Optimization Algorithm. IEEE Power & Energy Society General
Meeting (PESGM), Atlanta, USA.
10. Mohseni S, Brent AC, Burmester D, 2019
A Sustainable Energy Investment Planning Model
Based on the Micro-Grid Concept Using Recent Metaheuristic Optimization Algorithms. 2019
IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand.
11. Mohseni S, Brent AC, Burmester D, 2019
A Reliability-Oriented Cost Optimisation Method
for Capacity Planning of a Multi-Carrier Micro-Grid: A Case Study of Stewart Island, New
Zealand. Proceedings of the 2019 Electricity Engineers' Association (EEA) Conference &
Exhibition, Auckland, New Zealand.
12. Mohseni S, Brent AC, Burmester D, Chatterjee A, 2018
Optimal Sizing of an Islanded
Micro-Grid Using Meta-Heuristic Optimization Algorithms Considering Demand-Side
Management. 2018 Australasian Universities Power Engineering Conference (AUPEC),
Auckland, New Zealand.