Smart Network Diagnostics: Online Partial Discharge Monitoring of Electrical Networks

Focusing on the feasibility of the detection of defects in HV cables through measuring the cable sheath current, the main contribution to the project carried on by Marina’s research has been the development of a method for the detection and localization of four types of defects through measuring cable sheath current.

This research is focused in the feasibility of the detection of defects in HV cables through measuring the cable sheath current measurements. A smart monitoring technology is developed to verify the bonding connection of cable sheaths of distribution grids using sensors distributed along cable systems. Signal processing of induced currents on cable sheaths compared with the theoretical values give useful information to identify where an incipient defect is located. With the aim of reducing the current induced in the cable sheaths, cross-bonding (CB) grounding cable systems are used in long distance power transmission land lines. A new criterion for the detection and localization of defects that might occur in the cables sheath with CB configuration has been developed. The criterion proposed can be applied at different levels of load current and at different percentage of unbalance in minor sections. For the application of the criterion, the cable system under evaluation is modelled using the ATP software. Various practical cases were studied showing the effectiveness of the criterion for the detection and localization of different types of defects in simulated cable systems. Furthermore, in order to validate the criteria adopted for the defect detection, based on the ATP model, two real cases were evaluated. The results obtained proved that this criterion is suitable for the detection and localization of defects in the cables sheath, when on-line measurements are performed in monitoring applications.

Secondments

1^st secondment

Ormazabal Corporate Technology (OCT) (10.2017 – 01.2018)

2^nd secondment

Unión Fenosa (UFD) (05.2019 – 09.2019)

Achievements

• Answer to the Development of a method for the detection and localization of four types of defects through measuring cable sheath current. by Modelling the cable system on ATP software, diferent types of defects and sheath bonding types. Results: Development of a criteria of codes to identify and localize the defect
• 5 publications

Thesis title

Smart Cable Sheath Diagnosis of HV/MV Grids

Publications

• Measuring cable sheath currents to detect defects in cable sheath connections”. A. Khamlichi, M. Adel, F. Garnacho, J. Rovira (2017 52nd International Universities Power Engineering Conference (UPEC)) [Repository Link: https://zenodo.org/record/3871559]
• “Detection and Localization of Defects in Cable Sheath of Cross-Bonding Configuration by Sheath Currents”. Marina Adel Shokry, Abderrahim Khamlichi, Fernando Garnacho, Julio Martinez Malo, Fernando Alvarez (IEEE Transactions on Power Delivery) [Repository Link: https://zenodo.org/record/3891131]
• “Cable Sheath Diagnosis in Cross Bonding Cable Systems”. SHOKRY Marina Adel, KHAMLICHI Abderrahim, GARNACHO Fernando, ROVIRA Jorge –  LCOE-FFII Madrid, Spain (2019 – JICABLE’19 – 10th International Conference on Power Insulated Cables) [Repository Link: https://zenodo.org/record/3871573#.XueL_0UzaUk]
• “Análisis de las corrientes por pantalla de cables para detectar defectos en las conexiones en las pantallas del cable”. A. Khamlichi, M. Adel, F. Garnacho, J. Rovira (Congreso Internacional de Alta Tensión y Aislamiento Eléctrico, ALTAE 2017) [Repository Link: https://zenodo.org/record/3871537]

Current position

PhD Researcher at FFII-LCOE