Projects
Projects: Custom Search |
||
| Reference Number | NIA2_NGESO050 | |
| Title | Enhanced RMS (e-RMS) models for stability assurance | |
| Status | Started | |
| Energy Categories | Other Cross-Cutting Technologies or Research (Energy system analysis) 80%; Renewable Energy Sources (Wind Energy) 10%; Other Power and Storage Technologies (Electric power conversion) 10%; |
|
| 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 National Grid plc |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 October 2023 | |
| End Date | 31 July 2025 | |
| Duration | ENA months | |
| Total Grant Value | £400,000 | |
| 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_NGESO050 |
|
| Objectives | The project outcome will be delivered through five work packages (WP):WP1 - Develop EMT simulation model (in PSCAD) of a reduced equivalent GB system with generic EMT models of IBRs. The EMT simulation model is meant to mimic the real system for benchmarking.WP2 - Obtain an "enhanced RMS" (e-RMS) model by updating the IBR model parameters to match the response from the EMT benchmark model.WP3 - Study modelling adequacy of e-RMS model in terms of the role of network dynamics, different IBR control loops and subsystems (e.g., detailed current control) by benchmarking against EMT simulationWP4 - Replicate event response from EMT model using the e-RMS model. These events would be triggered by re-dispatch, grid strength, incorrect control settings etc.WP5 - Validate the root cause of instability through modal analysis on e-RMS model against the known trigger in the EMT model and demonstrate effective mitigation through targeted interventions based on the identified root cause. The simulated data from an EMT model (mimicking the real system) of a "GB-like" grid will be used to update the e-RMS model which will be further utilised for stability and root-cause analysis. Validation of stability and root cause analysis would then be based on the alignment between what happens in EMT model and what"s reflected in the e-RMS models.In line with the ENA"s ENIP document, the risk rating is scored Low.TRL Steps = 1 (2 TRL steps)Cost = 1 (£400k)Suppliers = 1 (1 supplier)Data Assumptions = 2Total = 5 (Low) System-wide simulation with existing RMS models (e.g. "GB-master") or localised EMT simulation often do not foresee IBR-driven instability problems. System-wide EMT simulation or co-simulation with vendor specific IBR models is an option but could be prohibitively slow and is unable to readily identify the root cause of the instabilities. In principle, an RMS model with adequate modelling detail and parameters tuned for the prevailing operating condition should capture instability problems within a certain frequency range, allow root cause analysis and hence, effective mitigation. In the context, this project would develop e-RMS model of IBRs as Digital Twin of a high-fidelity IBR model (in EMT) mimicking a real one. This way the operating point dependency of the RMS model of an IBR can be captured while addressing modelling adequacy in the sub-synchronous frequency range.This project will enable the ESO to: Analyse stability of IBR-dominated systems with enhanced RMS modelling in PowerFactoryPerform system wide studies for a much larger number of scenarios than what is possible with EMT simulationUse e-RMS models for planning and operational studies including near-real time applicationsUtilise root cause analysis to develop early warning systems and effective mitigation of potential instability problems.With threats of unforeseen instabilities mitigated, higher fractions of renewables can be accommodated without compromising the security of supply. This will facilitate the net zero transition while ensuring secure and affordable supply for consumers. The specific objectives of the project are to develop:an e-RMS model of the equivalent GB test system with Digital Twins of IBRs driven by the EMT simulation model (as benchmark) mimicking the real system a methodology for validating the modelling adequacy and accuracy of the e-RMS model by replicating event response software tool for stability analysis, identification of the root cause of instability and early warning system all based on the e-RMS model. | |
| Abstract | Threats of instabilities posed by high fractions of inverter-based resources (IBRs) force the system operators to operate conservatively by curtailing wind or limiting interconnector flows, for example. System studies with existing RMS models (e.g., "GB master") or EMT simulation can"t necessarily foresee or replicate such stability problems. The aim of this project is to develop an enhanced RMS (e-RMS) modelling framework that can provide dynamic stability assurance in planning studies and at operation timescale without carrying the cost of being overly conservative. This would be achieved by an e-RMS model of IBRs as a digital twin with modelling adequacy of both IBRs and the network in the sub-synchronous frequency range. The e-RMS model will provide early warning of any incipient instability and identify its root cause allowing targeted intervention and effective mitigation. | |
| Data | No related datasets |
|
| Projects | No related projects |
|
| Publications | No related publications |
|
| Added to Database | 02/10/24 | |
