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Projects: Projects for Investigator
Reference Number NIA_UKPN0086
Title Shift 2.0
Status Started
Energy Categories Other Power and Storage Technologies(Electricity transmission and distribution) 50%;
Other Cross-Cutting Technologies or Research(Energy Economics) 50%;
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 100%
Principal Investigator Project Contact
No email address given
UK Power Networks
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 October 2022
End Date 31 October 2024
Duration ENA months
Total Grant Value £619,300
Industrial Sectors Power
Region London
Programme Network Innovation Allowance
Investigators Principal Investigator Project Contact , UK Power Networks (99.998%)
  Other Investigator Project Contact , South Eastern Power Networks plc (0.001%)
Project Contact , UKPN London Power Networks plc (0.001%)
  Industrial Collaborator Project Contact , UK Power Networks (0.000%)
Web Site https://smarter.energynetworks.org/projects/NIA_UKPN0086
Objectives "Analyse when secondary peaks, herding behaviours and conflicting price signals are likely to cause issues on the network, based on various wholesale market developments (including the current pricing regime)Based on this analysis, develop options for the design and implementation of mechanisms to address primary and secondary peaks and increase flexibility, including aggregation and locational/dynamic price signalsDevelop options for the technical implementation of mechanisms, through from generation of signals out to their consumption and use by market participants and customers – including what systems and processes would need to be established to support themEngage with industry stakeholders to test and refine the purpose of the project and the key questions we are addressing, the theoretical view of price signal and aggregation design, the technical solution options and potential trials designCollaborate with market participants to investigate and trial customer propositions and business models to test the effectiveness of the price signals in addressing the challenges outlinedGather real-world data to inform network planning and wider industry decision-making regarding the development of roles and responsibilitiesAssess customer and regulatory implications of approaches including equitability/distributional impacts, protections, and ensuring all customers can participate in the energy transitionFor each mechanism, understand its feasibility, effectiveness, distributional impact on customers, cost and complexity to implement, impact on sequencing of dispatch and interaction with wholesale market.Data & Measurement Quality StatementAll data used within this project is for the purposes described above, and therefore quality will be measured on this basis. The project will follow all data quality rules, logging, and prioritising issues as they arise in line with the approved methodology set out in our Enterprise Data Management Policy, which forms part of the UK Power Networks Integrated Management System.Data quality will be measured across five dimensions where applicable:AccuracyCompletenessConsistencyValidityUniquenessData quality rules for each of the appropriate data quality dimensions above will be set by the project, measuring them closely on a regular basis to identify quality issues. Data quality issues will be logged in a central location and prioritised using an approved matrix which combines the importance of the issue, and the amount of data affected, this gives an indication of the issues impact on the project and wider business, considering factors such as:The impact on the health and safety of the public and employeesWhether it may result in a breach of our licence conditions or relevant regulationsThe impact on UK Power Networks reputationThe impact on our operations and efficiencyThe financial impact, including project delays and charges from external service providersThe project will then seek support for resolving the issues in priority order. All data and background information will be stored centrally and securely in a project specific Sharepoint folder or in our Enterprise Data Store if required by the wider business in accordance with data protection requirements. " "The project will first look to understand the change in demand profiles for different customer types over the coming years. It will determine when, and the extent to which, the assumptions currently underpinning reinforcement projections break down. It will then look to design, assess and trial potential measures to mitigate the impact of this need for additional reinforcement. The benefits of such measures would be savings from deferred reinforcement.Phase 1 will deliver:- Initial analysis of changing load profiles and their interaction with price profiles- Scenario development and data collection- Modelling and CBA- Write up and options for trialPhase 2 will deliver: - Commercial design of products to be trialled- Trial designPhase 3 will deliver:- Partner mobilisation and trial participant recruitment- Trial delivery and data collectionPhase 4 will deliver:- Trial analysis and reporting- Dissemination of trial findings- Implementation plan for successful products" "Understand the scale and timing of secondary peaks and herding behaviourInvestigate the potential for locational and dynamic price signals (both time of use (ToU) and Capacity-based price signals) to be employed at scale to:a) Better manage within-day flexibility of residential/SME/I&C LCTs on a local level to address constraints – avoiding the risk of secondary peaks and assisting in the management of instances of high renewable generation outputb) Better signal network needs to the market to focus customer acquisition or investment in DER assets where they could be most useful (or least impactful) for the networkc) Increase volumes of flexible resources on the networkUnderstand the regulatory, commercial, and technical barriers that would need to be addressed in the design of mechanisms and/or price signals and the enablers, roles, business models, systems and data flows to make dynamic/locational pricing a viable mechanism.Further stimulate the development/evolution of market-led customer propositions and business models to harness and manage flexibility for the benefit of customers."
Abstract "The rapid uptake of LCTs is likely to cause secondary peaks, herding behaviour and congestion in certain parts of the network. Shift 2.0 will look at the potential for dynamic and locational pricing to address these issues, and how any options can complement flexibility procurement. Shift 2.0 will: Understand the scale and timing of secondary peaks and herding behaviour. Investigate the potential for locational and dynamic price signals (both time of use and capacity-based price signals). Understand the regulatory, commercial, and technical barriers that would need to be addressed in the design of mechanisms and/or price signals and the enablers, roles, business models and data flows to make dynamic/locational pricing a viable mechanism. Further stimulate the development/evolution of market-led customer propositions and business."
Publications (none)
Final Report (none)
Added to Database 18/10/23