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Projects: Projects for Investigator
Reference Number NIA_NGTO043
Title Short Term Voltage Stability Monitoring Using PMU Data
Status Completed
Energy Categories Renewable Energy Sources 20%;
Other Power and Storage Technologies(Electricity transmission and distribution) 80%;
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 Electricity Transmission
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 January 2020
End Date 31 July 2021
Duration ENA months
Total Grant Value £253,000
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 Electricity Transmission (0.000%)
Web Site https://smarter.energynetworks.org/projects/NIA_NGTO043
Objectives This project will review exsisting methodologies and investigate a non-model based approach to assses the system dynamic voltage stability in the GB transmission network using real-time measurement fromPMUs in the network.The project will collect the PMU data from selected areas of the GB network to trial the proposed assessment methodology. The proposed methodology will be validated by a time-domain based analysis for a selected area of the GB network. The project will also explore active control measures to mitigate/improve the voltage stability in the transmission network. The project includes the following work packages:1. Literature review: A detailed literature review will be done on non-model based approaches for dynamic voltage assessment. 2. Develop a non-model based algorithm to assess the dynamic voltage stability using PMU data.3. Collect PMU data from the selected areas of the GB network.4. Build a time-domain model for selected GB network in PSCAD and validate the proposed algorithm using the analysis results from the time-domain based model.5. If the proposed non-model based assessment methodology is successful, provide recommendations for the future prototype development of real-time PMU based voltage stability monitoring in the GB nework.6. Explore effective active control measures to improve voltage stability in the network and recommend future works. This project is to develop a non-model based approach using real-time PMU data in the network to improve dynamic voltage stability assessment and monitoring in the GB transmission network.
Abstract With the transition to a net-zero carbon network, the penetration of renewable generation is increasing rapidly to replace the conventional fossil fuel-based synchronous generation in the GB network. Most modern renewable sources of electricity are connected to the network with an interface of power electronic converter devices with advanced controllers. The sytem, on one hand, is losing the support from conventional synchronous generation but, on the other hand, is becoming increasingly complex with the change of generation technology and rising power electronic converter control devices integrated into the transmission network. This can adversely affect the dynamic voltage stability of the transmission system. If stability risk is not identified and addressed promptly, it can cause voltage collapse, cascading events and even catastrophic system blackouts. Therefore it is important to understand the risks of dynamic voltage stability and closely monitor it in the transmission network.
Publications (none)
Final Report (none)
Added to Database 02/11/22