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Projects: Projects for Investigator
Reference Number NGET0036
Title Grid forming modelling and stability
Status Started
Energy Categories Other Power and Storage Technologies(Electricity transmission and distribution) 100%;
Research Types Applied Research and Development 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 20%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 80%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
National Grid Electricity Transmission
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 April 2023
End Date 30 April 2026
Duration ENA months
Total Grant Value £585,000
Industrial Sectors Power
Region London
Investigators Principal Investigator Project Contact , National Grid Electricity Transmission (99.999%)
  Other Investigator Project Contact , National Grid ESO (0.001%)
  Industrial Collaborator Project Contact , National Grid plc (0.000%)
Project Contact , National Grid Electricity Transmission (0.000%)
Web Site https://smarter.energynetworks.org/projects/NGET0036
Objectives "The project aims to address the complexity arising from different models, configurations, and control modes of grid forming converters. To achieve this, generic models of the grid forming converter will be developed for both RMS and EMT simulations such as DIgSILENT/Power Factory and PSCAD/EMTDC, respectively. The models will include all possible grid forming control modes applicable to non-synchronous renewable generation, HVDCs, and DC converters. To validate the generic models, a real-time simulator in the lab will be employed.Furthermore, the project will specify the instability risks comprehensively using small disturbance analysis, large disturbance analysis, and non-linear stability analysis. Effective measures to mitigate these instability risks will also be developed." "The scope of the work will include 7 work packages (WP): WP1. Literature review of grid forming converters including all feasible control configurations and stability analysis methodsReview all feasible controls of a grid forming converters and assess these controls potential for future industrial adoption.Review feasible grid forming functions to fulfill the requirements of different applications such as HVDCs, non-synchronous generator and DC converters.Review stability criteria of converter stability from the grid code, industries and recent research outcomes of academia.Survey study to identify appropriate methodologies to model and analysis the grid forming converters in an accurate and efficient way.Define suitable models including RMS, EMT and small-signal modelling to evaluate grid forming functions and potential instability risks.WP2. Develop the generic models of grid forming converter in both RMS and EMT simulationDevelop all feasible variants of grid forming control modes to fit different applications such as HVDCs, non-synchronous generators and DC converters.Develop all feasible grid forming capabilities and operation modes for grid requirements.Develop well-designed interfaces for both RMS and EMT models to flexibly select control modes, grid forming capabilities and operation modes.WP3. Validation of the developed generic models via Real Time Digital Simulators (RTDS)Validate the accuracy of the developed generic models under normal grid forming operation.Validate the accuracy of the developed generic models under transient situations.Validate the accuracy of the developed generic models under oscillation situations.WP4. Performance assessment on grid forming capabilityAssess the performances of grid forming capabilities including voltage and frequency support, island operation, and black start capability.Assess the transient performances including inertia and damping capabilities, transient current handling capability, and fault-ride-through capability.Assess the impact of low current withstand capability of converters on grid forming capabilities.WP5. Comprehensive stability analysis to identify any instability risks introduced by grid forming convertersAnalyse the control interaction with power systems via small signal modelling.Identify causes of instability risks from converter control.Identify causes of instability risks from power systems.WP6. Specify and classify the converter related power system instabilitiesSpecify all types of power system stabilities due to grid forming converters.Classify the relevant power system instabilities and assess the associated risks of the instability.WP7. Innovative mitigation measures to reduce instability risksDevelop control solutions to avoid potential oscillation risks identified in WP6. Specify grid requirements and overall control consideration for grid forming converters to reduce instability risks.Produce a final project report with recommendation for future work." "Identify feasible control modes of converters to form grid forming capability and identify feasible methodologies to model and analyse dynamics of grid forming converters when interacting with power systems.Develop generic models of grid forming converters for system design and planning.Assess performances of grid forming converters and identify potential instability risks.Develop solutions for grid forming converters to reduce the instability risks when interacting with power systems "
Abstract To meet the needs of energy transition to renewables, and address the challenges posed by declining system inertia and strength, a significant number of converters with grid forming capabilities will be necessary to ensure future power grid security. This project seeks to tackle the complexity arising from the various models, configurations, and control modes of grid forming converters by developing generic converter models. The project will also aim to assess and identify any potential instability risks associated with deploying grid forming converters and develop mitigation measures to address any identified risks.
Publications (none)
Final Report (none)
Added to Database 18/10/23