Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NGSO0030 | |
| Title | Impact of Long-duration Energy Storage Systems on GB Transmission Planning | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy system analysis) 60%; Other Power and Storage Technologies(Electricity transmission and distribution) 20%; Other Power and Storage Technologies(Energy storage) 20%; |
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| 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 (Other Systems Analysis) 100% | |
| Principal Investigator |
Project Contact No email address given National Grid plc |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 December 2019 | |
| End Date | 01 June 2020 | |
| Duration | ENA months | |
| Total Grant Value | £90,000 | |
| 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%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_NGSO0030 |
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| Objectives | The following deliverables are planned as part of this project:WP1: The objective of this work package is to model the optimal sizing and operation of an energy storage system (ESS) placed upstream of a constrained transmission interface, whereby inflexible generation such as renewables and baseload exceeds rated transmission network capacity for periods of the year: This scenario would drive curtailment of excess generation unless the transmission interface was upgraded and/or an energy storage system was used to shift generation to times with available capacity.WP1 Deliverable: The final deliverable is to quantify the economic opportunity of utilizing energy storage to reduce transmission network constraints and possibly defer network investments. The deliverable will include a range of sensitivity analysis (either visual or/and as a tool) in order to analyse the impact of different technical and non-technical specifications of energy storage systems based on the current, near future and also more ambitious market solutions.WP2: Because of the strong seasonal variation of wind generation in the UK, it is likely that energy storage installations for reinforcement deferral will be partially utilized for portions of the year. It is also possible that during diurnal cycles some spare storage capacity become available for other purposes. Moreover, additional revenue streams might be necessary to justify the deployment of energy storage from an economic standpoint such as reactive support and black start.WP2 Deliverable: This work package will investigate complications and opportunities to stack services throughout the year. Services to be analysed include Frequency Response, Reactive Power and Reserves. A constraint is defined as an inability to transmit power to the location of demand, due to congestion at one or more parts of the transmission network. This inability stems from physical limitations of the assets. The ESO currently manages thermal transmission constraints through the Balancing Mechanism (BM). Transmission constraint costs (Thermal, Voltage and Stability) in 2018/2019 amounted to £420m. The NOA process recommends the optimum build combination to reduce constrains across the GB Network. In recent years, the level of constraints expected to be cleared through the NOA process has increased. This is partly due to the levels of inflexible renewables predicted to come onto the system. This is causing the ESO to consider alternative solutions to constraint management. Long-term storage could contribute in the future towards a more economic and efficient method of operating the system. This project aims to identify the value of a range of storage durations and technologies in the electricity market and what part it can play. The project aims to: Model the optimal sizing and operation of an energy storage system (ESS) placed upstream on a constrained transmission interface Explore potential alternative revenue streams available to storage during less constrained times of the year | |
| Abstract | The ESO uses the Network Operability Assessment (NOA) process to recommend investment options to achieve a sustainable, economic and efficient future electricity grid. As the energy system rapidly evolves and the penetration of renewable resources increases, future uncertainty also increases. Thus, there is a need for bringing flexibility across the network. Through this project, we will analyse the impact of a range of energy storage systems on transmission network constraints. This will lead to more informed investment and operational decisions to ensure a secure, economic and efficient electricity grid. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 09/11/22 | |
