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Projects: Projects for Investigator
Reference Number	NIA2_NGET0017
Title	System value from V2G peak reduction in future scenarios based on strategic transport and energy demand modelling
Status	Completed
Energy Categories	Other Cross-Cutting Technologies or Research(Energy system analysis) 20%; Energy Efficiency(Transport) 20%; Other Power and Storage Technologies(Electricity transmission and distribution) 60%;
Research Types	Applied Research and Development 100%
Science and Technology Fields	ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation	Systems Analysis related to energy R&D (Energy modelling) 100%
Principal Investigator	Project Contact No email address given National Grid Electricity Transmission
Award Type	Network Innovation Allowance
Funding Source	Ofgem
Start Date	01 July 2022
End Date	30 June 2023
Duration	ENA months
Total Grant Value	£881,503
Industrial Sectors	Power
Region	London
Programme	Network Innovation Allowance
Investigators	Principal Investigator	Project Contact , National Grid Electricity Transmission (100.000%)
	Industrial Collaborator	Project Contact , National Grid plc (0.000%) Project Contact , National Grid Electricity Transmission (0.000%)
Web Site	https://smarter.energynetworks.org/projects/NIA2_NGET0017
Objectives	This project will develop a strategic transport and energy demand model (STED) using transport demand modelling techniques (taking into account consumer behaviour, infrastructure constraints, and battery degradation) and a whole-energy simulator to investigate the impacts of V2G on the electricity peak demand across the entire GB system under different credible decarbonisation scenarios.This project will apply an advanced modelling framework based on stochastic optimisation to quantify the option value of flexibility from smart charging and V2G concepts to identify cost-effective expansion strategies for the GB transmission network in the presence of multi-dimensional uncertainties. In addition, the F-factor methodology applied in the fundamental review of network security standards will be extended to enable quantification of the security of supply contribution delivered by smart charging and V2G, taking into account uncertainties in the availability of these services.The impact of the fast-charging stations will be assessed on the future system operation and investment by taking into consideration that most of these stations are expected to be equipped with battery energy storage that would support high charging power requirements while being able to charge from the grid at a slower rate during the night or other times of lower demand on the system, which would avoid overloading of the local grid and to reduce the size and the cost of the grid connection. Data Quality Statement (DQS): The project will be delivered under the NIA framework in line with OFGEM, ENA and NGET internal policy. Data produced as part of this project will be subject to quality assurance to ensure that the information produced with each deliverable is accurate to the best of our knowledge and sources of information are appropriately documented. All deliverables and project outputs will be stored on our internal SharePoint platform ensuring backup and version management. Relevant project documentation and reports will also be made available on the ENA Smarter Networks Portal and dissemination material will be shared with the relevant stakeholders. Measurement Quality Statement (MQS): The methodology used in this project will be subject to suppliers own quality assurance regime and the source of data, measurement process and equipment as well as data processing will be clearly documented and verifiable. The measurements, designs and economic assessments will also be clearly documented in the relevant deliverables and final project report and made available for review. Risk Assessment and AuditIn line with the ENAs ENIP document, the risk rating is scored low. TRL Steps = 1 (2 TRL step)Cost =2 (£881,503)Suppliers =2(3)Data Assumption = 1 (Data will be gathered using available network model) The project will consist of three work packages (WP).WP 1: V2G and peak electricity demandStage 1: Scenarios The first stage of the project will define the exogenous scenarios that we will use throughout the project. These scenarios seek to describe potential EV uptake and usage out to 2050, and how these may vary by broad archetypal regions.Stage 1 includes the following tasksScenarios for EV uptakeScenarios for Travel patternDefinitions of regionsWorkshop to agree key scenarios parametersDeliverable 1.1: A short report setting out two exogenous scenarios for EV uptake and use for 2035 and 2050, varying by three broad regional archetypes. Stage 2: Understanding customercharacteristics and behaviours The purpose of this part of the analysis is to develop an initial set of customer archetypes to use in the first stage of the modelling. These archetypes will be based on varying factors that may drive differences in the propensity to engage with V2G. The key tasks in stage 2 are listed belowInitial literature reviewQualitative researchInitial archetypes: challenges and review workshopDeliverable 1.2: Short report setting out initial qualitative customer archetypes that combine sets of consumer characteristics, the rationale for their choice, and a set of gaps to be filled by further behavioural research Stage 3: Initial model development In this stage an agent-based model will be developed which simulates the charging patterns (including V2G usage) of individual representative vehicles. This will be done in two stages:  In stage 3, described here, a basic model, using placeholder inputs. This will allow us to carry out sensitivity tests to understand which parameters of consumer behaviour it will be most important to quantify in our survey.  In stage 5, the model will be refined based on the data from the behavioural research, allowing us to produce V2G profiles.The key tasks in stage 3 are as followsDesign the modelBuild the first version of the modelRun sensitivity analysis to determine which factor may matter mostDeliverable 1.3: Placeholder model outputs which National Grids academic supplier can use to prepare its model. A short note or slide pack documenting sensitivity analysis highlighting key drivers that will be investigated in Stage 4.Stage 4: Quantitative behavioural research The aim of Stage 4 of the research is to develop robust and statistically significant estimates of key input variables for the modelling.Prioritisation of factors to investigate in the primary researchDesign and implement surveyDeliverable 1.4: Statistically valid analysis of drivers of customer behaviour, documented in a short report. Revised assumptions for model inputs. Stage 5: Revised modelling based on behavioural research Deliverable 5: A final set of charging/discharging profiles. Stage 6: Revised modelling based on behavioural research Deliverable 6: Final report and modelWP 2: Grid impact of flexible charging paradigms for electric vehiclesTask 1: System impact of smart charging and vehicle to Grid Whole Electricity System Integration Model, to assess the overall system impact of various EV charging paradigms, including a) unmanaged charging, b) smart charging, and c) V2G operation. We will identify key drivers for whole-system cost across these charging scenarios for private and light commercial vehicles and break down any cost savings from smart charging and V2G against the counterfactual into components associated with investment cost into generation and network assets as well as system operation cost.Deliverable 2.1: A short report summarizing the methodology and findingsTask 2: Projection of future energy and ancillary services prices via ancillary services constrained energy scheduling modelThe prices for energy and ancillary services will be generated for future scenarios of the GB electricity system. Several relevant sensitivities will be considered within ACES, including different levels of RES penetration, flexibility of electric vehicles in charging and providing frequency regulation services amount of energy storage etc., to quantify the impact on prices for both energy and ancillary services, and corresponding cost of EV charging, and revenues related to V2G services.Deliverable 2.2: A short reportTask 3: Impact of fast EV charging stations on the future system operation and investment [Duration: 5 months
Abstract	This project aims to develop a strategic transport and energy demand (STED) model using transport demand modelling techniques and a whole-energy simulator to investigate the impacts of V2G on the electricity peak demand across the entire GB system under different credible decarbonisation scenarios. The STED model will develop profiles for electricity demand from domestic vehicles to 2035 and 2050, considering behavioural preferences, infrastructure constraints, battery degradation and price profiles. The project will also quantify the option value of flexibility from V2G and smart charging concepts using the F methodology and develop a framework to identify cost-effective expansion strategies for the GB transmission network in the presence of multi-dimensional uncertainties. The project will also investigate challenges and opportunities associated with a nationwide rollout of fast EV charging stations. This work will also assess and analyse the cyber security issues associated with V2G
Publications	(none)
Final Report	(none)
Added to Database	14/10/22