Risk-Based Underground Cable Circuit Ratings for Flexible Wind Power Integration

Liu, Shuran; Kopsidas, Konstantinos

doi:10.1109/tpwrd.2020.2980437

Cited by 14 publications

(6 citation statements)

References 17 publications

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“…This methdology introduces a learningbased probabilistic estimation of the risk linked to a violation of the maximum allowed temperature constraint, and estimates the curtailment strategy to be performed. Liu et al have also developed a probabilistic framework to determine the hours-ahead power production planning of a wind farm based on on ARMA model of the wind power forecast, still in order to define the curtailment strategy [13]. Kazmi et al [14] formulated the optimal sizing of a wind farm as a two-stage MILP problem, where the inner stage covers the optimal energy management of the farm.…”

Section: B Optimal Energy Management Of Wind Farms With Overplantingmentioning

confidence: 99%

Stochastic Dynamic Programming for Energy Management of an Overplanted Offshore Wind Farm with Dynamic Thermal Rating and Storage

Faye-Bédrin,

Blavette,

Haessig

et al. 2023

2023 IEEE Belgrade PowerTech

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We study the optimal energy management of an offshore wind farm which combines "overplanting" (more production than transmission capacity), "dynamic thermal rating" (DTR, transiently exporting more than the steady-state transmission capacity thanks to the large thermal inertia of the soil surrounding the export cable) and an energy storage (to mitigate both curtailements and forecast errors). This forwardlooking setting, which aims at further reducing the Levelized Cost of Energy of offshore wind power, creates an optimization problem with both temporal couplings and uncertain inputs. The difficulty of this energy management problem comes from having time constants separated by several orders of magnitude due the thermal inertia of the cable surroundings. We propose an approximate solution based on large GPU implementation of Stochastic Dynamic Programming (SDP). In our performance comparisons, SDP outperforms simpler rule-based energy management schemes while we also explore the benefit of DTR in the context of overplanting.

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Section: B Optimal Energy Management Of Wind Farms With Overplantingmentioning

confidence: 99%

Stochastic Dynamic Programming for Energy Management of an Overplanted Offshore Wind Farm with Dynamic Thermal Rating and Storage

Faye-Bédrin,

Blavette,

Haessig

et al. 2023

2023 IEEE Belgrade PowerTech

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“…The cable temperature estimation is a widely addressed research area with applications in dynamic line rating [21], [22], [23] and lifetime estimation [24]. In addition to the thermal stress, there are models focused on the analysis of the joint influence of electrical and thermal stresses [17].…”

Section: A Related Workmentioning

confidence: 99%

A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty

Aizpurua

Stewart

McArthur

et al. 2021

IEEE Trans. Power Delivery

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Power cables are critical assets for the reliable operation of the grid. The cable lifetime is generally estimated from the conductor temperature and associated lifetime reduction. However, these tasks are intricate due to the complex physicsof-failure (PoF) degradation mechanism of the cable. This is further complicated with the different sources of uncertainty that affect the cable lifetime estimation. Generally, simplified or deterministic PoF models are adopted resulting in non-accurate decision-making under uncertainty. In contrast, the integration of uncertainties leads to a probabilistic decision-making process impacting directly on the flexibility to adopt decisions. Accordingly, this paper presents a novel cable lifetime estimation framework that connects data-driven probabilistic uncertainty models with PoF-based operation and degradation models through Bayesian state-estimation techniques. The framework estimates the cable health state and infers confidence intervals to aid decision-making under uncertainty. The proposed approach is validated with a case study with different configuration parameters and the effect of measurement errors on cable lifetime are evaluated with a sensitivity analysis. Results demonstrate that ambient temperature measurement errors influence more than load measurement errors, and the greater the cable conductor temperature the greater the influence of uncertainties on the lifetime estimate.

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“…Due to the mismatch between the increasing rate of electricity demand and that of the new cable lines, the transmission capacity requirement of existing cable lines is intensifying gradually [1][2][3]. To alleviate this situation, it is important to fully develop the ampacity of existing cable lines.…”

Section: Introductionmentioning

confidence: 99%

An Improved Analytical Thermal Rating Method for Cable Joints

He,

Xie,

Wang

et al. 2024

Energies

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To improve the utilization rate of cable lines while retaining sufficient security, the accurate thermal assessment of cable is significant for cable operation condition evaluation. The thermal rating for a cable joint, which is regarded as a hot spot of cable lines, is not covered by the scope of IEC 60287. While the existing publications for cable joint thermal evaluation also have some limitations. In this paper, the quasi-three-dimensional thermal model of the cable joint was established and the iterative solution method for the model is presented. Based on the model, an improved thermal rating method for the cable joint was proposed, which was implemented with monitored surface temperature and load data. The improved method was verified by the finite element method and the results showed an error of less than 5%. The superiority of the improved method was conducted by the comparison between the previously published method and the improved method. The improved method showed a better accuracy than the previously published method. The proposed method in this paper can be complementary to the IEC method, and is easy to use for the operating evaluation of cable joints in the field with the on-line condition monitoring technology.

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Risk-Based Underground Cable Circuit Ratings for Flexible Wind Power Integration

Cited by 14 publications

References 17 publications

Stochastic Dynamic Programming for Energy Management of an Overplanted Offshore Wind Farm with Dynamic Thermal Rating and Storage

Stochastic Dynamic Programming for Energy Management of an Overplanted Offshore Wind Farm with Dynamic Thermal Rating and Storage

A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty

An Improved Analytical Thermal Rating Method for Cable Joints

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