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Projects: Projects for Investigator
Reference Number	NIA_NGSO0005
Title	Phase Lock Loop-Related Improvements to Non-Synchronous Generation Models
Status	Completed
Energy Categories	Other Cross-Cutting Technologies or Research(Energy Models) 50%; Other Power and Storage Technologies(Electricity transmission and distribution) 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 50%; Systems Analysis related to energy R&D (Energy modelling) 50%;
Principal Investigator	Project Contact No email address given National Grid plc
Award Type	Network Innovation Allowance
Funding Source	Ofgem
Start Date	01 February 2018
End Date	01 November 2018
Duration	ENA months
Total Grant Value	£80,000
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/NIA_NGSO0005
Objectives	The intention of this project is to bring about revolutionary change to our non-synchronous models by introducing PLL-informed non-synchronous dynamic performance models into our power system analysis tool Digsilent. We can validate the models against real experience so as to be as accurate as possible. This validation process is in itself innovative given there is no precedent or process for doing this today, here or internationally. WP1 - Literature and Model Review. Identify across each technology (wind, solar. HVDC, Battery etc) the options for modelling PLL based control within Digsilent powerfactory to reflect the different control behaviours discussed above. Key output of this work package is proposed outline models for these controllers, and their settings. WP2 – Model Verification (setting the rules). Identify the key indicators of performance across these models which would inform the allocation and calibration of them to specific projects; outlining test information, compliance performance and event review data that would inform this. For example, for a specific fault ride through test: what performance characteristics (for example levels and speed of reactive power injection) would inform the use of one PLL-based control approach over another, which could then be used in compliance test work; and if seeing a fault upon the GB system, what system data from PMU measurements could then be used across the fault (for example the time dependant voltage dip observed or magnitude of post fault overvoltage) to ensure that we are seeing the behaviour we expect? WP3- Model Creation and Validation. Construct validated PLL based controller proposals for the NGET Digsilent GB master model based on the above steps, utilising test and event review data. For example, wind project convertors prior to a given date have one assumption, those after that date another, and/ or by manufacturer. Produce also a set of un-validated but indicative DG models (i.e. for small and medium scale solar or wind projects, what is a typical or conservative assumption ahead of further information?). WP4- Modelling dissemination. Produce an end project report identifying: Generic principles of PLL modelling, A set of generic reference models for default assumptions by network operators (e.g. if wind= use PLL model x, if solar use PLL mode =y), together with the processes which would further inform them., Recommendations surrounding the processes that would be required to support and maintain/ improve the position delivered under WP3, together with any area of technical code change as appropriate. Quantification of success of new approach vs BAU The intended objectives from this exercise would be Develop a step change in our modelling capability of non-synchronous technology in the context of future network conditions across which more detailed modelling now becomes more important, developing the new processes and techniques to assure the validity of these models, and developing a pathway to sustain this step change into normal business. To provide the wider industry with reference modelling insight for different types of PLL informed control, and also provide a recommended process which allows these reference models to be validated, adapted or allocated based on the Users own technology choices and connection context.
Abstract	The intention of this project is to bring about revolutionary change to our non-synchronous models by introducing PLL-informed non-synchronous dynamic performance models into our power system analysis tool digsilent. We can validate the models against real experience so as to be as accurate as possible. This validation process is in itself innovative given there is no precedent or process for doing this today, here or internationally. The intended internal outputs from this exercise would be both a step change in our modelling capability of non-synchronous technology and a pathway to sustain this step change into normal business. The intended external outputs from this project would be to provide the wider industry with reference modelling insight for different types of PLL informed control, and also provide a recommended process which allows these reference models to be validated, adapted or allocated based on the Users own technology choices and connection context.
Publications	(none)
Final Report	(none)
Added to Database	02/12/22