Thomas Morstyn @TMorstyn
Working on a smarter grid. Local & system-level energy market design and multi-agent control | @oxengsci eng.ox.ac.uk/people/thomas-… Oxford, UK Joined February 2013-
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Interested in how multi-agent reinforcement learning (MARL) can support the decentralization and decarbonization of energy networks and mitigate the associated challenges? Have a look at our survey, written with Chaimaa Essayeh, @UoE_Agents, and @TMorstyn arxiv.org/abs/2404.15583
Perth West showed that the implementation of a smart local energy system (SLES) composed of a PV farm and utility-scale battery can reduce site emissions by 48% @innovateuk @UKRI_News #energysmartplaces @TMorstyn @EdinburghUni
New @EnergyREV_UK report released: Perth West as a Case Study for the value of Greenfield Smart Local Energy System A £500m mixed-use expansion to Perth, with 3,500 houses, an industrial hub, electric vehicle facilities and a renewable generation park. energyrev.org.uk/outputs/insigh…
Session 2 @EnergyREV_UK summit - the role of #energysmartplaces in the UK Net Zeto Future chaired by David Shipworth, with @jessbritton11 @jjeh102 @TMorstyn Louise Alter @EQUANS_UK Stuart Fowler @NationalGridESO @innovateuk @UKRI_News
3-page brief on our proposal for locational CfDs to support investment in renewables
REPORT RELEASE @EnergyREV_UK - Putting wind and solar in their place: Internalising congestion and other system-wide costs with enhanced contracts for difference in Great Britain. @UKRI_News @innovateuk @jjeh102 @camjhep @TMorstyn energyrev.org.uk/outputs/insigh…
PhD opportunity in Quantum Computing for Power System Optimisation with @RaulGarciaPatr1 and me findaphd.com/phds/project/q…
The paper looks at algorithm development and qubit scaling for problems where we want to: - Plan distribution network upgrades - Site/size renewables - Schedule loads with on/off flexibility (e.g. EVs, smart appliances)
Can quantum computing help with power system optimisation? The answer is not if but when. New paper in IEEE Trans. on Smart Grid using @dwavesys 5,760 qubit quantum annealer ieeexplore.ieee.org/stamp/stamp.js…
Panel session @EnergyREV_UK discussing how smart local energy systems can play an important role in the energy crisis @hannon_matthew @TMorstyn Rajat Gupta, Marko Aunedi, Tim Chappelle, Naomi Baker @EnergyUKcomms @EnergySysCat #flexibility #energymarkets #socialisingbenefits
New partnership with @nationalgriduk to help decarbonise power transmission. Great work from the whole team on getting this partnership going. More information on: edinburgh-innovations.ed.ac.uk/news/partnersh… (my photography hobby also paid off with this featured picture 📷) @SchoolOfEng_UoE
New high fidelity GB transmission system model available here: github.com/EsaLaboratory/…
Key takeaways: 1. Carbon abatement from renewables depends on network congestion due to redispatch. 2. Deploying renewables in the south of GB can decrease congestion cost by £4.04/MWh. 3. Predictable renewable generation can decrease reserve costs by £2.44/MWh.
"Putting Wind and Solar in Their Place" - new paper with Iacopo Savelli, @jjeh102 and @camjhep. We look at how we can improve the UK's renewable CfD auctions by accounting for cost & CO2 impacts of network congestion, redispatch and reserve requirements. doi.org/10.1016/j.enec…
New paper out🚨It's hard to navigate the space of distributed energy resources coordination! The literature is growing exponentially, with many words like 'P2P' and 'transactive energy' thrown around. How do all coordination strategies relate to each other?bit.ly/3wP5cMP
@MattDeakin6 @DavidHowey @edinburgh @OtherProfGreen @CentreDice Great, let’s follow up on potential links. For our project data- and model-driven methods will be complementary, since we have a high-fidelity GB system model plus access to granular long-term market data.
Recruting a Postdoctoral Research Associate to look at energy market integration of grid-scale storage for maximum emissions reduction @Edinburgh. Collaboration with Professor @DavidHowey, @OtherProfGreen. Link: elxw.fa.em3.oraclecloud.com/hcmUI/Candidat… Apply by 07/06/2022
REPORT RELEASE @EnergyREV_UK - Putting wind and solar in their place: Internalising congestion and other system-wide costs with enhanced contracts for difference in Great Britain. @UKRI_News @innovateuk @jjeh102 @camjhep @TMorstyn energyrev.org.uk/outputs/insigh…
Looking forward to this - will be recruiting soon
REPORT RELEASE @EnergyREV_UK - Putting wind and solar in their place: Internalising congestion and other system-wide costs with enhanced contracts for difference in Great Britain. @UKRI_News @innovateuk @jjeh102 @camjhep @TMorstyn energyrev.org.uk/outputs/insigh…
First PhD paper published! 🎉 We propose novel scalable multi-agent reinforcement learning algorithms for the distributed control of residential flexibility, including EVs and smart heating. @MD_MCCULLOCH @TMorstyn authors.elsevier.com/a/1enWf15eif4R… #energytwitter #reinforcementlearning
50 days' free access to our recently published article "A framework for participation of prosumers in peer-to-peer energy trading and flexibility markets" by: lnkd.in/gsRekjH2 #community #energy #trading #market #P2P #free #peertopeer #local #energycommunities #prosumer
We present a "smart energy neighbourhood" architecture for pursuing shared objectives within local energy system, such as reducing energy poverty and supporting community investment in clean energy technologies.
Local energy isn't just about competition - new paper "Better together: Harnessing social relationships in smart energy communities" with Iacopo Savelli in Energy Research & Social Science for @EnergyREV_UK, @TheSmithSchool & @UoE_IES authors.elsevier.com/c/1d82T7tZ6Ztc…
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