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Thomas Morstyn
Thomas Morstyn
Associate Professor at the University of Oxford, U.K.
Verified email at eng.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants
T Morstyn, N Farrell, SJ Darby, MD McCulloch
Nature energy 3 (2), 94-101, 2018
7422018
Bilateral contract networks for peer-to-peer energy trading
T Morstyn, A Teytelboym, MD McCulloch
IEEE Transactions on Smart Grid 10 (2), 2026-2035, 2018
5262018
Multiclass energy management for peer-to-peer energy trading driven by prosumer preferences
T Morstyn, MD McCulloch
IEEE Transactions on Power Systems 34 (5), 4005-4014, 2018
4822018
Control strategies for microgrids with distributed energy storage systems: An overview
T Morstyn, B Hredzak, VG Agelidis
IEEE Transactions on Smart Grid 9 (4), 3652-3666, 2016
4452016
Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges
W Tushar, C Yuen, TK Saha, T Morstyn, AC Chapman, MJE Alam, S Hanif, ...
Applied energy 282, 116131, 2021
3582021
A motivational game-theoretic approach for peer-to-peer energy trading in the smart grid
W Tushar, TK Saha, C Yuen, T Morstyn, MD McCulloch, HV Poor, ...
Applied energy 243, 10-20, 2019
3352019
Grid influenced peer-to-peer energy trading
W Tushar, TK Saha, C Yuen, T Morstyn, HV Poor, R Bean
IEEE Transactions on Smart Grid 11 (2), 1407-1418, 2019
2792019
Incentivizing prosumer coalitions with energy management using cooperative game theory
L Han, T Morstyn, M McCulloch
IEEE Transactions on Power Systems 34 (1), 303-313, 2018
2272018
Unified distributed control for DC microgrid operating modes
T Morstyn, B Hredzak, GD Demetriades, VG Agelidis
IEEE Transactions on Power Systems 31 (1), 802-812, 2015
2112015
Deep reinforcement learning-based energy storage arbitrage with accurate lithium-ion battery degradation model
J Cao, D Harrold, Z Fan, T Morstyn, D Healey, K Li
IEEE Transactions on Smart Grid 11 (5), 4513-4521, 2020
2072020
Multi-agent sliding mode control for state of charge balancing between battery energy storage systems distributed in a DC microgrid
T Morstyn, AV Savkin, B Hredzak, VG Agelidis
IEEE Transactions on smart grid 9 (5), 4735-4743, 2017
2012017
Distributed cooperative control of microgrid storage
T Morstyn, B Hredzak, VG Agelidis
IEEE transactions on power systems 30 (5), 2780-2789, 2014
2002014
Designing decentralized markets for distribution system flexibility
T Morstyn, A Teytelboym, MD McCulloch
IEEE Transactions on Power Systems 34 (3), 2128-2139, 2018
1972018
Cooperative multi-agent control of heterogeneous storage devices distributed in a DC microgrid
T Morstyn, B Hredzak, VG Agelidis
IEEE Transactions on Power Systems 31 (4), 2974-2986, 2015
1732015
Model predictive control for distributed microgrid battery energy storage systems
T Morstyn, B Hredzak, RP Aguilera, VG Agelidis
IEEE Transactions on Control Systems Technology 26 (3), 1107-1114, 2017
1672017
Integrating P2P energy trading with probabilistic distribution locational marginal pricing
T Morstyn, A Teytelboym, C Hepburn, MD McCulloch
IEEE Transactions on Smart Grid 11 (4), 3095-3106, 2019
1482019
A coalition formation game framework for peer-to-peer energy trading
W Tushar, TK Saha, C Yuen, MI Azim, T Morstyn, HV Poor, D Niyato, ...
Applied Energy 261, 114436, 2020
1402020
The opportunity for smart charging to mitigate the impact of electric vehicles on transmission and distribution systems
C Crozier, T Morstyn, M McCulloch
Applied Energy 268, 114973, 2020
1372020
Distributed control for state-of-charge balancing between the modules of a reconfigurable battery energy storage system
T Morstyn, M Momayyezan, B Hredzak, VG Agelidis
IEEE Transactions on Power Electronics 31 (11), 7986-7995, 2015
1152015
Gravity energy storage with suspended weights for abandoned mine shafts
T Morstyn, M Chilcott, MD McCulloch
Applied energy 239, 201-206, 2019
802019
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