A Life Loss Tool for an Optimal Management in the Operation of Insulated LV Power Cables

Parise, Giuseppe; Martirano, Luigi; Gugliermetti, Luca; Nardecchia, Fabio

doi:10.1109/tia.2018.2866982

Cited by 11 publications

(6 citation statements)

References 24 publications

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“…The real-time temperature of an equipment depends on the ambient temperature and loading conditions. References [33] and [34] show the mathematical expressions for the calculation of the temperature of cables and transformers according to the current-carrying capacity/loading ratio, thermal constants, and manufacturer data.…”

Section: ) Probabilistic Aging Failure Constraintsmentioning

confidence: 99%

“…A similar procedure is adopted to linearize the aging failure probability of a cable based on the temperature. Following the approach described in [33], the temperature is influenced by the branch current obtained from power flow calculation and its specifications, such as square current-carry capacity (B Z ), ambient reference temperature (θ 0 ), ambient tem- perature (θ a ), and thermal time constant (τ), as shown in (30).…”

Section: ) Probabilistic Aging Failure Constraintsmentioning

confidence: 99%

“…Assuming a EV penetration of 200% (i. e., every house has two EVs) in the test system, the departure time and arrival time are input to the pre-trained MLP model to predict the travel mileage of each EV. Then, SoC, the energy left and needed of each EV can be calculated by ( 31)- (33). After collecting those data, the aggregated information of each bus is summarized.…”

Section: Optimization Model In Gurobimentioning

confidence: 99%

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An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

Zhao,

Arefi,

Borghetti

et al. 2024

Journal of Modern Power Systems and Clean Energy

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There is a general concern that the increasing penetration of electric vehicles (EVs) will result in higher aging failure probability of equipment and reduced network reliability. The electricity costs may also increase, due to the exacerbation of peak load led by uncontrolled EV charging. This paper proposes a linear optimization model for the assessment of the benefits of EV smart charging on both network reliability improvement and electricity cost reduction. The objective of the proposed model is the cost minimization, including the loss of load, repair costs due to aging failures, and EV charging expenses. The proposed model incorporates a piecewise linear model representation for the failure probability distributions and utilizes a machine learning approach to represent the EV charging load. Considering two different test systems (a 5-bus network and the IEEE 33-bus network), this paper compares aging failure probabilities, service unavailability, expected energy not supplied, and total costs in various scenarios with and without the implementation of EV smart charging.

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Section: ) Probabilistic Aging Failure Constraintsmentioning

confidence: 99%

Section: ) Probabilistic Aging Failure Constraintsmentioning

confidence: 99%

Section: Optimization Model In Gurobimentioning

confidence: 99%

See 1 more Smart Citation

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

Zhao,

Arefi,

Borghetti

et al. 2024

Journal of Modern Power Systems and Clean Energy

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“…Methods for the monitoring of the loss-of-life of cable insulation have been developed [29] and are based on the profile of the cable's delivered current and the temperature of the environment. For evaluating supraharmonics, it is the profile of the emission what matters, and the methods already developed for the cable insulation [29] could be extended to the supraharmonics problem.…”

Section: G Intermittent Supraharmonics Emitting Equipmentmentioning

confidence: 99%

Failure of MV Cable Terminations Due to Supraharmonic Voltages: A Risk Indicator

Espín-Delgado

Letha²,

Rönnberg³

et al. 2020

IEEE Open J. Ind. Applicat.

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This paper addresses the accelerated aging of medium-voltage (MV) cable terminations with resistive stress-grading due to supraharmonics. The paper introduces a simple and quick way to relate the risk of cable termination failure to the characteristics of supraharmonic distortion in the system. The motivation is to give practical recommendations and guidelines to evaluate the risk of failure of cable terminations under the presence of supraharmonics in MV networks. The underlying model relates the heating in the cable termination linearly with the frequency of the voltage applied and proportionally with the square of the magnitude of the voltage. The indicator can be used to decide whether given levels and frequencies of supraharmonics in the MV network represent a risk to cable terminations. The parameters of the cable termination design are not needed for that decision. However, the decision criterion is based on one sample data (Eagle Pass) and more field information is crucial to improve the approach. INDEX TERMS Dielectric breakdown, dielectric losses, power cable insulation, power quality, power system harmonics, supraharmonics.

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“…Parise et al discussed a simplified model of a low-voltage (LV) cable system with one and two time constants to evaluate cable temperature behavior and the impact of environmental and installation conditions. In addition, a device for calculating the "life loss hours" of low-voltage power cables for main/ critical circuits is proposed [5]. Callender et al simulate the discharge by changing the surface charge density at the boundary of the gap using a logistic function distribution then use this model to study the influence of single-phase energization on the partial discharge activity in the threephase PILC cable joints.…”

Section: Introductionmentioning

confidence: 99%

Reliability and Life Prediction Algorithms of Insulated Cables Based on Wireless Network Communication

Sun

Zhang

Liu

2022

Wireless Communications and Mobile Computing

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Since the size of the power system is getting larger, the power of the transmission and electrical power generation also increase, and the safety operation of the transmission and electrical power is becoming more and more important. This article is intended to study algorithm for reliability and life prediction based on wireless network communication. This paper first studies the energy consumption of wireless network communication, analyzes the maximization of network life, and then evaluates the thermal aging characteristics and life of XLPE cable insulation based on wireless communication. Through model establishment and analysis, when the reliability is below 50%, the reliability of the cable is basically not guaranteed. It is necessary to formulate an update and replacement plan to ensure the safe and stable operation of the power grid.

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A Life Loss Tool for an Optimal Management in the Operation of Insulated LV Power Cables

Cited by 11 publications

References 24 publications

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

Failure of MV Cable Terminations Due to Supraharmonic Voltages: A Risk Indicator

Reliability and Life Prediction Algorithms of Insulated Cables Based on Wireless Network Communication

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