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Projects: Projects for Investigator
Reference Number NIA2_NGESO044
Title Dispatch Optimiser Transformation (DOT)
Status Completed
Energy Categories Other Cross-Cutting Technologies or Research(Energy system analysis) 20%;
Other Power and Storage Technologies(Electricity transmission and distribution) 80%;
Research Types Applied Research and Development 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 80%;
Systems Analysis related to energy R&D (Other Systems Analysis) 20%;
Principal Investigator Project Contact
No email address given
National Grid plc
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 July 2023
End Date 31 December 2023
Duration ENA months
Total Grant Value £750,000
Industrial Sectors Power
Region London
Programme Network Innovation Allowance
Investigators Principal Investigator Project Contact , National Grid plc (100.000%)
  Industrial Collaborator Project Contact , National Grid plc (0.000%)
Web Site https://smarter.energynetworks.org/projects/NIA2_NGESO044
Objectives "This project brings together a team of experienced subject matter experts from the ESO and IBM, with significant technical experience in dispatch operations and ENCC systems, expertise in planning and delivering technical/IT work programmes and expertise in markets and associated reform work. They will work in close collaboration to deliver an end vision for the ADO programme with a detailed gap analysis and roadmap for how ADO will be built, whilst integrating with ESOs BAU systems and formalised business plan. A breakdown of the work packages is listed below: WP1: Deep Dive: Adaptive Input Data ModelsAim: The project will review and conduct a deep dive on the adaptive input data model groups defined in NIA2_NGESO0013 Advance Dispatch Optimisation, these are:Net DemandDistributed Energy Resources (DER)TransmissionGenerationInterconnectors For each model the project will: Analyse what input data is needed to create and run the model.Identify what data currently exists, where it comes from, and investigate the feasibility of this data continuing to be source as it currently is.For data that doesnt exist, draft a specific plan to define how it could be created or sourced, and consider some mitigations for the eventuality that the data needed cannot be created or sourced.Consider possible transformations in a transformation model.Evaluate data quality and investigate how data uncertainty could be addressed.Understand and define what next steps would need to be taken to develop the adaptive modelsWP1 OutputsData model report describing all five data models with the next level of detail regarding input, transformation, and output WP2: Gap analysis of projects addressing ADO scopeAim: The project will analyse which project/initiatives the ESO has already launched or are part of Business Plan (BP) commitments, that address the end state of ADO described in NIA2_NGESO0013 Advance Dispatch Optimisation. The goals are to: Undertake assessment of existing BAU systemsUndertake assessment of BP commitmentsIdentify gaps between BAU+BP and ADO vision that would still need to be resolvedChallenge the suggested timeline and advise on which modules might be particularly challenging and should be trialled, e.g., as part of further Innovation as they need special attentionCrosscheck updates in technology since the report for ADO was writtenEstimate order of magnitude of cost to complete gap filling work based on complexity of the capabilityWP2 OutputsCapability Framework with a clear view of the current status of each required capabilityBenefit analyses for each capabilityRequirements / technical capabilities backlogDetailed gap analysis report with sufficient detail to initiate procurement of identified activitiesWP3: Conceptual ArchitectureAim: The architecture should consider all relevant projects already running, that address ADO scope and consider the pieces of work still missing. Key questions: How do we connect the modules?How do we ensure the ability to plug modules in and out?Pros and cons of a distributed versus a centralised architecture approachHow to achieve high security and high availability efficientlyWP3 OutputsArchitecture views detailing system context, data sources and interfaces, to best enable flexibility, security and availability In line with the ENAs ENIP document, the risk rating is as follows:TRL Steps = 1 (2 TRL steps)Cost = 2 - £750k (£500k - £1mSuppliers = 1 (1 suppliers)Data Assumptions = 2Total = 6 (Low) " The project will last approximately six months with one project partner. IBM working alongside the ESO and Industry SMEs will develop the detailed data model report, gap analysis report, the iterative plan and architectural views. "The objectives are as follows: Utilising reports from the original ADO project and SME input to define clearly what ADO will build and how.Identify gaps in the planned infrastructure and suggest specific projects to address gaps.Identify wider factors or risks that could impact the delivery of the ADO vision and define mitigating actions.Develop an agile delivery plan that can be integrated with BAU and existing business plans."
Abstract Great Britains energy landscape is changing at an increasing rate, not only in terms of how energy is generated and distributed but also in how it is used by consumers. This increases the complexity for grid operators in forecasting power system conditions and in developing dispatch control strategies that can utilise more distributed intermittent renewable resources whilst retaining the reliability of supply required. Traditional dispatch tools and processes are becoming increasingly insufficient and cannot take advantage of the advancement of digital technologies such as Artificial Intelligence and Machine Learning. This project builds upon work undertaken in NIA2_NGESO0013 Advance Dispatch Optimisation and will design a blueprint for transformation of control room tools and processes to meet the System Operator needs of the future.
Publications (none)
Final Report (none)
Added to Database 18/10/23