{"title":"考虑地下电缆热点故障的网络可靠性建模","authors":"Keyi Wang, K. Kopsidas","doi":"10.1109/PMAPS47429.2020.9183388","DOIUrl":null,"url":null,"abstract":"Ageing of power network assets and increasing demand challenge the utilities to economically and securely utilise the assets. The challenge of effective utilisation of assets becomes worse under unfavourable thermal conditions, which is the case of underground power cables crossing a road. There are occasions that higher conductor temperatures (10-20°C) can be developed, with a negative effect on cable’s life and failure risks when no remedial actions are taken. One common practice is cable de-rating, however, sacrificing cable’s power capacity. At present, the negative impact of the unfavourable conditions and of de-rating strategies has not been addressed holistically. Hence, the combining effect on failure risks and adequacy is not effectively optimised. To address this gap and quantify the impact of hot spots on networks with various cable designs, this work integrates the thermal modelling of cable’s hot spots and their associated risk of failure into a unified network reliability analysis framework. The methodology is demonstrated in a modified IEEE 14-bus network, to allow the inclusion of cable hot spots. It is found that the system performance with no remedial actions on hot spots is significantly weakened. An optimal de-rating hot spot strategy by 44% to 70% is more effective instead of complete negation (i.e. 100% de-rating factor). This proposed factor considers the holistic network-asset aspects of system adequacy, ageing and failures.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling Network Reliability Considering Underground Cable Hot Spot Failures\",\"authors\":\"Keyi Wang, K. Kopsidas\",\"doi\":\"10.1109/PMAPS47429.2020.9183388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ageing of power network assets and increasing demand challenge the utilities to economically and securely utilise the assets. The challenge of effective utilisation of assets becomes worse under unfavourable thermal conditions, which is the case of underground power cables crossing a road. There are occasions that higher conductor temperatures (10-20°C) can be developed, with a negative effect on cable’s life and failure risks when no remedial actions are taken. One common practice is cable de-rating, however, sacrificing cable’s power capacity. At present, the negative impact of the unfavourable conditions and of de-rating strategies has not been addressed holistically. Hence, the combining effect on failure risks and adequacy is not effectively optimised. To address this gap and quantify the impact of hot spots on networks with various cable designs, this work integrates the thermal modelling of cable’s hot spots and their associated risk of failure into a unified network reliability analysis framework. The methodology is demonstrated in a modified IEEE 14-bus network, to allow the inclusion of cable hot spots. It is found that the system performance with no remedial actions on hot spots is significantly weakened. An optimal de-rating hot spot strategy by 44% to 70% is more effective instead of complete negation (i.e. 100% de-rating factor). This proposed factor considers the holistic network-asset aspects of system adequacy, ageing and failures.\",\"PeriodicalId\":126918,\"journal\":{\"name\":\"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PMAPS47429.2020.9183388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS47429.2020.9183388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling Network Reliability Considering Underground Cable Hot Spot Failures
Ageing of power network assets and increasing demand challenge the utilities to economically and securely utilise the assets. The challenge of effective utilisation of assets becomes worse under unfavourable thermal conditions, which is the case of underground power cables crossing a road. There are occasions that higher conductor temperatures (10-20°C) can be developed, with a negative effect on cable’s life and failure risks when no remedial actions are taken. One common practice is cable de-rating, however, sacrificing cable’s power capacity. At present, the negative impact of the unfavourable conditions and of de-rating strategies has not been addressed holistically. Hence, the combining effect on failure risks and adequacy is not effectively optimised. To address this gap and quantify the impact of hot spots on networks with various cable designs, this work integrates the thermal modelling of cable’s hot spots and their associated risk of failure into a unified network reliability analysis framework. The methodology is demonstrated in a modified IEEE 14-bus network, to allow the inclusion of cable hot spots. It is found that the system performance with no remedial actions on hot spots is significantly weakened. An optimal de-rating hot spot strategy by 44% to 70% is more effective instead of complete negation (i.e. 100% de-rating factor). This proposed factor considers the holistic network-asset aspects of system adequacy, ageing and failures.