Technique for Order Preference by Similarity to an Ideal Solution‐based comprehensive health assessment of composite insulators for overhead transmission lines

Yuan, Zhikang; Yang, Zhouhang; Jin, Lijun; Zhou, Gangjie; Zhang, Yingyao; Wang, Hanqing; Tu, Youping

doi:10.1049/hve2.12245

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…One is the ranking-type model frequently applied to situations involving multiple schemes. The most employed models are the technique for order preference by similarity to an ideal solution (TOPSIS) [36], measurement of alternatives and ranking according to compromise solution [37], and VIseKriterijumska Optimizacija I Kompromisno Resenje [38]. Another is the rating-type model, which is frequently applied when only one scheme is evaluated (e.g., the matter-element extension model [39]).…”

Section: Reference Consideration Factors Solving Algorithmmentioning

confidence: 99%

A Novel Hybrid Power-Grid Investment Optimization Model with Collaborative Consideration of Risk and Benefit

Gao,

Wang,

et al. 2023

Energies

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Power-grid investment (PGI) optimization is crucial for boosting investment performance, lowering investment risks, and assuring the sustainable development of power-grid businesses. However, existing studies, which primarily concentrate on financial aspects, have not adequately considered the risk and benefit factors in the process of PGI. In this context, this research suggests a novel hybrid PGI optimization model that collaboratively accounts for the risks and benefits. In the first step, risk and benefit indicator systems for PGI are built, and a comprehensive evaluation model based on the Bayesian best–worst method and TOPSIS is suggested. In the second stage, a PGI optimization model considering the investment amount, power demand, and low-carbon restrictions is further developed based on the evaluation results. Furthermore, the incomprehensible but intelligible-in-time logic algorithm is adopted to solve the problem. By conducting an empirical analysis of ten projects within a power-grid company, the optimal investment plan and a differentiated investment portfolio strategy are obtained by adjusting the key elements.

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Section: Reference Consideration Factors Solving Algorithmmentioning

confidence: 99%

A Novel Hybrid Power-Grid Investment Optimization Model with Collaborative Consideration of Risk and Benefit

Gao,

Wang,

et al. 2023

Energies

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“…Silicone rubber composite insulators have emerged as the pivotal equipment for outdoor insulation due to their lightweight nature, robust pollution flashover resistance, and ease of installation [1], [2]. Based on operational experiences within the electrical grid, it has been observed that the predominant operational incidents associated with composite insulators are flashover events.…”

Section: Introductionmentioning

confidence: 99%

Surface Charge Dissipation Characteristics of Al₂O₃/Silicone Rubber Composites With Different Weight Percentages

Fu,

Jiang,

et al. 2024

IEEE Access

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To identify a nanocomposite material capable of mitigating surface charge accumulation issues in silicone rubber composite insulators, this paper investigated the surface charge dissipation characteristics of micron-sized Al2O3/silicone rubber composites with different weight percentages under positive dc voltage. Furthermore, this paper investigated the influence of the uncharged and charged silicone rubber on the surface flashover voltage under positive dc voltage. The result show that the addition of micron-sized Al2O3 particles effectively ameliorates the severity of surface charge accumulation. In comparison to pure silicone rubber, the reduction in maximum surface charge density and average surface charge density of different weight percentage Al2O3/silicone rubber composites ranges from 18.60% to 50.60% and from 33.26% to 57.53%, respectively. When there is no surface charge on the silicone rubber surface, the addition of micron-sized Al2O3 particles at different weight percentages results in a decrease in positive dc surface flashover voltage. Conversely, when a positive surface charge is applied to the silicone rubber surface, the greatest reduction in positive dc surface flashover voltage occurs in pure silicone rubber. Furthermore, the positive DC flashover voltage of pure silicone rubber can recover to 86.53% of its value without applied surface charge at a decay time of 60 minutes. In contrast, the addition of micron-sized Al2O3 particles at different weight percentages diminishes the impact of surface charge on the surface flashover voltage, allowing it to recover to 92.03% to 94.18% of its value without applied surface charge.

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Super-hydrophobic silicone rubber for outdoor electrical insulation

Wang,

Liu,

Liu

et al. 2024

Nano Today

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Technique for Order Preference by Similarity to an Ideal Solution‐based comprehensive health assessment of composite insulators for overhead transmission lines

Cited by 5 publications

References 23 publications

A Novel Hybrid Power-Grid Investment Optimization Model with Collaborative Consideration of Risk and Benefit

A Novel Hybrid Power-Grid Investment Optimization Model with Collaborative Consideration of Risk and Benefit

Surface Charge Dissipation Characteristics of Al₂O₃/Silicone Rubber Composites With Different Weight Percentages

Super-hydrophobic silicone rubber for outdoor electrical insulation

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