Resilient Synchromeasurement-based Grid Protection Platform


The design, control and operation of electric power systems are undergoing significant changes. The environmental policies govern the society towards zero-carbon emission by 2050 with energy production based only on renewable energy sources. The utilization of large amount of renewables is related to massive use of power electronic devices, multi-terminal HVDC and especially in the Netherlands, a large amount of long AC/DC cables. The increased system complexity is in line with the increased level of disturbances that power system becomes vulnerable to, especially in terms of power quality and security of supply; factors that significantly influence system reliability and stability. Therefore, power systems are exposed to different disturbances that need to be detected, classified and localized.
Hence, there is a need for continuous monitoring of voltage and current waveforms.
This project deals with developing a new big data energy management system platform:
• a novel high-resolution time-synchronized measurement system to provide real time wide-system observability,
• an advanced big-data management platform to support measurement data collection, processing and sharing among stakeholders,
In this context, the following aspects will be considered:
• Event detection by applying PMUs, SASensor, and newly developed Signal Measurement Unit
• Event classification (switching events, power swings, dynamic (in)stability) from measured data.
• Disturbance classification based on the origin of event.
• Emergency network separation.
• Real-time grid vulnerability assessment and forecasting.
• Validation of developed algorithms/applications and hardware/software in the loop testing by actual data.





Dr. ir. M.S.E.E. Popov

Verbonden aan

Technische Universiteit Delft, Faculteit Elektrotechniek, Wiskunde en Informatica, Electrical Sustainable Energy


01/08/2018 tot 31/07/2023