New insulating materials technologies
for high power transfer and sustainability covering the development of polymer blends for insulation with a custom design of suitable additives and nanofillers
Validation sites/tests
UK: UoS
A prototype cable system will be energized in the Tony Davies HV Laboratory of the UoS and it will be monitored over a period of time under a variety of artificial defects. Failure data from these experiments will be used in order to evaluate the performance of selected algorithms for the detection of anomalies due to degradation effects of HV cables and accessories.
Greece: ICCS
Cable specimens with novel layouts -previously defined through simulations of models with increased or decreased conductor cross-sections and suitable combinations of insulation material properties and dimensions- will be tested at the premises of the High Voltage Laboratory of NTUA. Aim of the tests will be to verify whether these cable structure scenarios achieve higher transmission capacity and insulation operating voltage. Additionally, samples of lead-free wet-design HVDC and High-Power cables will be subjected to humidity conditioning in the lab and the resulting deterioration will be quantified by measuring various properties with emphasis on DC breakdown testing.
Hungary: HUMEA
Advanced methodologies for the electrostatic separation of HVDC cable materials mainly based on the identification of remaining contaminants will be step-by-step implemented in the test site of HUMEA in Hungary. At the next stage, the applicability of the material derived from this HVDC cable recycling process as electrical insulation will be investigated with various experimental tests.
Cyprus: UCY and EAC
The accurate fault location detection and fault type identification methodology developed by UCY and EAC based on temperature monitoring via PMU measurements will be applied in the Cypriot lab environment to the digital twin model of the Cypriot electrical network for the training of Physics Informed Neural Networks (PINNs).
Italy: ASG
ASG will design and provide two electrical cryogenic test benches and test samples of cables with superconducting materials (MgB2 wires and TBD HTS) in order to test the respective insulating materials under high electric field after different thermal cycles in different cooling media (Gaseous He, Liquid N2) at cryogenic conditions within the context of ageing prediction for the insulation of superconducting cables.
Cablegnosis technologies
Technologies for the development of innovative cable systems
Technologies for designing
high power cables for increased transmission capacity via proposals of novel cable layouts either with increased or with decreased cross-sections
Recyclability technologies
for the materials used in power cable systems aiming at using the fraction consisting only of the main insulation of the recycled cable to be used as electrical insulation at lower voltage levels
Feasibility assessment
for superconducting cables in submarine connections applied on example use cases such as offshore windfarm connections at the Dutch and German coast
CABLEGNOSIS Life Cycle Center IT platform
development and integration forming cloud-based monitoring and diagnostics life cycle center that will provide to the cable operators a robust asset management of the power cable system with real time monitoring of the system operation status
Technologies for the operational life and reliability of cable systems
Pre-fault real time condition monitoring
of power cable systems utilizing the Failure Modes and Effects Analysis (FMEA) technique to identify and review potential failure modes for long HV cable systems and a novel multi-factor online condition monitoring system based on an electro-optic (EO) modulator, optical fibre and a remote fibre laser.
Measurement-based technologies
for the health assessment of high-power cables including accurate modelling of the cable and estimation of the cable resistance and temperature through PMU measurements.
Fault location technologies
for high power cable systems based on travelling wave analysis of data from real time PMU measurements and AI-originated detection of the fault type
AI-based
ageing prediction for the insulation of superconducting cables trained by data from measurements of electrical properties of HTS cable samples at cryogenic conditions replicating the actual ageing processes of a superconducting cable.
Predictive maintenance techniques
for the cable system reliable operation providing prognostic indicators capable of assessing the health state of HV cables along their entire length
Impact analysis
of water absorption on ageing of lead-free wet-design HVDC and High-Power cables including evaluation of various electrical properties after humidity conditioning in the lab with particular emphasis on proposing a reliable DC breakdown testing protocol.
Partners
