Medium-voltage (MV) underground power distribution cables are critical assets of The Hong Kong Electric Co., Ltd. (HK Electric) for ensuring reliable customer power delivery. The inspection and condition assessment of these power distribution cables are conducted regularly to determine their health. During diagnostic tests, all MV cables have to pass a threshold of insulation resistance (IR) before they can be energised. Low IR readings may indicate a deterioration in insulation related to a high leakage current. However, defining a threshold value to assess the intrinsic condition of the power distribution cables for every test is challenging. This is because the reference value is determined by several factors such as cable length, the composition of the cable circuit, e.g., cable type, number and types of cable joints, service years and surface leakage from cable splices and terminations. In order to tackle this problem, a concept of imbalance degree in IR testing is developed to supplement the existing tests on dielectric losses for the purpose of enhancing the condition assessment of three-phase power MV distribution cables when performing IR measurement. The effectiveness of this method has been validated with historical testing records of 11kV distribution power cables at HK Electric. Based on our experience and study results, this improved method could further enhance the diagnosis and maintenance efficacy of HK Electric’s power distribution cables.
Keywords:
Power system; power distribution network; insulation resistance; smart grid
Reference List:
Andjelkovic D and Rajakovic N (2001). Influence of accelerated aging on mechanical and structural properties of cross-linked polyethylene (XLPE) insulation. Electrical Engineering, 83, pp. 83-87.
Bumby S, Druzhinina E, Feraldi R, Werthmann D, Geyer R and Sahl J (2010). Life cycle assessment of overhead and underground primary power distribution. Environmental science & technology, 44(14), pp. 5587-5593.
Buchner A and Schichler U (2019). Review of CIGRE TB 496 regarding prequalification Test on Extruded MVDC cables. In: Proceedings of the Nordic Insulation Symposium (No. 26).
Choudhary M, Shafiq M, Kiitam I, Hussain A, Palu I and Taklaja P (2022). A Review of Aging Models for Electrical Insulation in Power Cables. Energies, 15(9), pp. 3408.
Electric Machinery Committee (2013). IEEE Recommended Practice for Testing Insulation Resistance of Electric Machinery.
Fu M, Chen G, Dissado LA and Fothergill JC (2007). Influence of thermal treatment and residues on space charge accumulation in XLPE for DC power cable application. IEEE Transactions on Dielectrics and Electrical Insulation, 14(1), pp. 53-64.
Hampton N, Altamirano J, Perkel J and Hernandez JC (2007). VLF Tests Conducted by NEETRAC as Part of the CDFI.
HK Electric (2020). Transmission & Distribution. [online]. Available at: https://www.hkelectric. com/en/our-operations/transmission-distribution. [Accessed on 13 February 2023]
HK Electric Investments (2021). Crafting a Greener Future. [online]. Available at: https://www.hkelectric. com/en/Investo.rRelations/Documents/Financial%20 Reports/2021/AR/2021_HKEI_AR_E_FULL.pdf. [Accessed on 13 February 2023]
Kim C, Jiang P, Liu F, Hyon S, Ri MG, Yu Y and Ho M (2019). Investigation on dielectric breakdown behavior of thermally aged cross-linked polyethylene cable insulation. Polymer Testing, 80, 106045
Perkel J, Del Valle Y, Hampton RN, Hernandez- Mejia JC and Densley J (2013). Interpretation of dielectric loss data on service aged polyethylene based power cable systems using VLF test methods. IEEE Transactions on Dielectrics and Electrical Insulation, 20(5), pp. 1699-1711
Refaat SS and Shams MA (2018). A review of partial discharge detection, diagnosis techniques in high voltage power cables. In: 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPEPOWERENG 2018), pp. 1-5. IEEE
Sanders R (1987). The Pareto principle: its use and abuse. Journal of Services Marketing, 1(2), pp. 37-40
Sheng B, Zhou C, Hepburn DM, Dong X, Peers G, Zhou W and Tang Z (2014). Partial discharge pulse propagation in power cable and partial discharge monitoring system. IEEE Transactions on Dielectrics and Electrical Insulation, 21(3), pp. 948-956
Soma K, Aihara M and Kataoka Y (1986). Diagnostic method for power cable insulation. IEEE transactions on electrical insulation, (6), pp. 1027-1032.
Tai S and Leung C (2012). HK electric's experience of VLF diagnostic testing on distribution cables. In: 2012 China International Conference on Electricity Distribution, pp. 1-6.
Um K (2017). Developing a Device for Predicting the Lifetime of Cables at Power Stations by Measuring Insulation Resistances. Journal of Nanoscience and Nanotechnology, 17(11), pp. 7939-7942.
Um KH and Lee KW (2014). A study on cable lifetime evaluation based on characteristic analysis of insulation resistance by acceleration factor of the Arrhenius equation. The Journal of The Institute of Internet, Broadcasting and Communication, 14(5), pp.231-236.
Watson R, Lowe S and Bhumiwat SA (2004). The New Technique for Reliability Assurance of in-service XLPE Power Cables. In: Electricity Engineers’ Association of New Zealand-Conference, Christchurch, pp. 18-19.
Werelius P, Tharning P, Eriksson R, Holmgren B and Gafvert U (2001). Dielectric spectroscopy for diagnosis of water tree deterioration in XLPE cables. IEEE Transactions on Dielectrics and Electrical Insulation, 8(1), pp. 27-42.
Yi H, Wang X, Suo C, Zhang Y, Ghias AMYM, Tan KW, Gooi HB, Wee CT, Chern WK and Yucel (2022). Enhanced Cable Insulation Resistance Guidelines Based on Weibull Analysis and Diminishing Method. In: 2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE), pp. 1-4.
Yuan Y, Dong J, Gan J, Li S, Zhao W, Huang S and Chen L (2017). A three-core power cable online monitoring system based on phase current sensing. In: 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1-6.
Zhou C, Yi H and Dong X (2017). Review of recent research towards power cable life cycle management. High Voltage, 2(3), pp. 179-187.
Zhu B, Jia ZD, Yuan Y, Lu GJ, Fan WN and Guan ZC (2015). Research on the insulation properties of 10kV XLPE damp cable. In: 2015 IEEE 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM), pp. 592-595.
Zhu K, Han W, Lee WK and Pong PW (2017). On-site non-invasive current monitoring of multicore underground power cables with a magneticfield sensing platform at a substation. IEEE Sensors Journal, 17(6), pp.1837-1848.
Zhu K, Lee WK and Pong PW (2017). Energizationstatus identification of three-phase three-core shielded distribution power cables based on non-destructive magnetic field sensing. IEEE Sensors Journal, 17(22), pp. 7405-7417.
Zhu K, Lee WK and Pong PW (2018). Faultline identification of HVDC transmission lines by frequency-spectrum correlation based on capacitive coupling and magnetic field sensing. IEEE Transactions on Magnetics, 54(11), pp.1-5
Zhu K and Ng TF (2022). Improvement of cable defect identification for power distribution networks. HKIE Transactions, 29(1), pp. 37-45.
Zhu K and Pong PW (2019). Fault classification of power distribution cables by detecting decaying DC components with magnetic sensing. IEEE Transactions on Instrumentation and Measurement, 69(5), pp. 2016-2027.