Reliability Evaluation Method for Underground Cables Based on Double Sequence Monte Carlo Simulation

With the increasing demand for electrical reliability, power grid companies often need to operate urban underground cable systems at flexible ratings during planned or emergency events, but the risk of failure caused by such loading operations has not yet been quantified. Based on this, this paper proposes a reliability assessment method for underground cables based on dual sequence Monte Carlo simulation, which can consider the cumulative risk impact caused by electrical faults and insulation aging of underground cables during emergency events. Firstly, the integration of the electrical and thermal design characteristics of the integrated underground cable system within the overall network reliability framework was introduced. A dual sequence Monte Carlo simulation loop was used to evaluate the performance of the cable and network while considering the thermal aging effects of emergency loads on the cable. Then, the proposed method is applied to improve the IEEE 14 bus network by introducing cable design risk factor α and aging risk acceptance factor β to achieve flexibility and operational risk under long-term and short-term high-load emergency rating scenarios. Finally, the research results of the IEEE 14 bus network show that the expected unserved energy of scenario 1 is 30.15 MWh/year, which is 59% lower than the basic scenario of 73.34 MWh/year. The expected network failure frequency remains almost unchanged. Scenario 2 and scenario 3 show a decrease in the gain of network performance due to emergency-rated operation after using α and β, demonstrating the accuracy of the proposed method in cable reliability assessment.

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Publication Details

Journal
Processes
Published
2025-02-12
DOI
https://doi.org/10.3390/pr13020505
Citations
3
Primary Topic
Thermal Analysis in Power Transmission
Type
article
Field-Weighted Citation Impact
3.64

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article

Reliability Evaluation Method for Underground Cables Based on Double Sequence Monte Carlo Simulation

Hengrui Ma, Hanqi Zhang, Hongxia Wang, Bo Wang et al.
3 citations
Processes
Thermal Analysis in Power Transmission
3.64
article

Reliability Evaluation Method for Underground Cables Based on Double Sequence Monte Carlo Simulation

Hengrui Ma, Hanqi Zhang, Hongxia Wang, Bo Wang, Jiaxing Zhang, Yifan He
article en
3 citations

Abstract

With the increasing demand for electrical reliability, power grid companies often need to operate urban underground cable systems at flexible ratings during planned or emergency events, but the risk of failure caused by such loading operations has not yet been quantified. Based on this, this paper proposes a reliability assessment method for underground cables based on dual sequence Monte Carlo simulation, which can consider the cumulative risk impact caused by electrical faults and insulation aging of underground cables during emergency events. Firstly, the integration of the electrical and thermal design characteristics of the integrated underground cable system within the overall network reliability framework was introduced. A dual sequence Monte Carlo simulation loop was used to evaluate the performance of the cable and network while considering the thermal aging effects of emergency loads on the cable. Then, the proposed method is applied to improve the IEEE 14 bus network by introducing cable design risk factor α and aging risk acceptance factor β to achieve flexibility and operational risk under long-term and short-term high-load emergency rating scenarios. Finally, the research results of the IEEE 14 bus network show that the expected unserved energy of scenario 1 is 30.15 MWh/year, which is 59% lower than the basic scenario of 73.34 MWh/year. The expected network failure frequency remains almost unchanged. Scenario 2 and scenario 3 show a decrease in the gain of network performance due to emergency-rated operation after using α and β, demonstrating the accuracy of the proposed method in cable reliability assessment.

ProcessesVol. 13(2)
State Grid Corporation of China (China) (CN), Wuhan University (CN)
Science and Technology Project of State Grid
Openalex Percentile: Top 9%
Thermal Analysis in Power Transmission
3.64
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