Fixed least squares support vector machines for flashover modelling of outdoor insulators

Mandjoubi Abdelhalim; Zegnini Boubakeur; Belkheiri Mohammed; Seghier Tahar

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Fixed least squares support vector machines for flashover modelling of outdoor insulators

机译：固定最小二乘支持向量机，用于刷新室外绝缘子

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Many theoretical and experimental studies have been performed to optimize the maintenance times of outdoor insulators. But most of the proposed methods are both time consuming and difficult to apply in practice and also they rely mainly on pollution charts and they are not reliable to weather variations. Artificial intelligence has been extensively applied to solve a large number of electrical and high voltage engineering modeling and optimization problems. In this paper, a methodology based on modified LS-SVM strategy using a fixed set of support vectors is proposed to evaluate the flashover performance of outdoor insulators under contaminated conditions, where the candidate support vectors are selected from the training set according to a quadratic Renyi criterion. The obtained results are promising and ensure that the presented technique can help high voltage engineers to assess insulator performance including such important factors as the flashover behavior, the insulator geometrical parameters, aging, and contamination accumulation. Further comparative analysis of the estimated results with the measured data collected from the site measurement demonstrate the effectiveness of the use of fixed-size LS-SVMs models for flashover prediction.

机译：已经进行了许多理论和实验研究以优化户外绝缘体的维护时间。但大多数所提出的方法既耗时，难以在实践中申请，也依赖于污染图表，它们不可靠天气变化。人工智能广泛应用于解决大量电气和高压工程建模和优化问题。在本文中，提出了一种使用固定的支持向量的改进的LS-SVM策略的方法，以评估污染条件下室外绝缘体的闪络性能，其中根据二次仁怡从训练组中选择候选支持向量标准。所获得的结果是有前途的，并确保所提出的技术可以帮助高压工程师评估绝缘体性能，包括这种重要因素，包括闪络行为，绝缘体几何参数，老化和污染积累。从站点测量中收集的测量数据的估计结果的进一步比较分析证明了使用固定尺寸LS-SVMS模型进行闪络预测的有效性。

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来源
《Electric power systems research》 |2019年第8期|29-37|共9页
作者
Mandjoubi Abdelhalim; Zegnini Boubakeur; Belkheiri Mohammed; Seghier Tahar;
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作者单位

Univ Amar Telidji Laghouat Lab Etud & Dev Mat Semicond & Dielect BP 37G Route Ghardaia Laghouat 03000 Algeria;

Univ Amar Telidji Laghouat Lab Etud & Dev Mat Semicond & Dielect BP 37G Route Ghardaia Laghouat 03000 Algeria;

Univ Amar Telidji Laghouat Lab Telecommun Signaux & Syst BP 37G Route Ghardaia Laghouat 03000 Algeria;

Univ Amar Telidji Laghouat Lab Etud & Dev Mat Semicond & Dielect BP 37G Route Ghardaia Laghouat 03000 Algeria;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Critical flashover voltage; Polluted insulators; Artificial intelligent techniques; Genetic algorithms (GAs); LS SVM; Artificial neural networks (ANNs); High voltage; Simulation;

机译：临界闪络电压;污染绝缘体;人工智能技术;遗传算法（气体）;LS SVM;人工神经网络（ANNS）;高电压;模拟;

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专利

1. Fixed least squares support vector machines for flashover modelling of outdoor insulators [J] . Mandjoubi Abdelhalim, Zegnini Boubakeur, Belkheiri Mohammed, Electric power systems research . 2019,第AUGa期

机译：固定最小二乘支持向量机，用于室外绝缘子的闪络建模
2. Prediction of flashover voltage of insulators using least squares support vector machine with particle swarm optimisation [J] . Sid Ahmed Bessedik, Hocine Hadi Electric power systems research . 2013,第nova期

机译：基于最小二乘支持向量机的粒子群算法预测绝缘子的闪络电压
3. A LS-SVM (Least Squares Support Vector Machines) Approach for Predicting Critical Flashover Voltage of Polluted Insulators [J] . Abdelhalim Mahdjoubi, Boubakeur Zegnini, Mohammed Belkheiri Journal of energy and power engineering . 2013,第2期

机译：LS-SVM（最小二乘支持向量机）方法预测被污染绝缘子的临界闪络电压
4. A Least Squares Support Vector Machines (LS-SVM) approach for predicting critical flashover voltage of polluted insulators [C] . Zegnini B., Mahdjoubi A. H, Belkheiri M. Electrical Insulation and Dielectric Phenomena (CEIDP), 2011 Annual Report Conference on . 2011

机译：最小二乘支持向量机（LS-SVM）方法来预测受污染绝缘子的临界闪络电压
5. Modeling Flashover of AC Outdoor Insulators under Contaminated Conditions with Dry Band Formation and Arcing. [D] . Bo, Lin. 2012

机译：用干带形成和电弧在污染条件下模拟交流户外绝缘子的闪络。
6. Partial least Squares- least squares- Support Vector Machine Modeling of ATR-IR as a Spectrophotometric Method for Detection and Determination of Iron in Pharmaceutical Formulations [O] . Elahehnaz Parhizkar, Hadi Saeedzadeh, Fatemeh Ahmadi, 2019

机译：ATR-IR的偏最小二乘-最小二乘-支持向量机建模用于分光光度法检测和测定药物制剂中的铁
7. Prediction of critical flashover voltage of polluted insulators under sec and rain conditions using least squares support vector machines (LS-SVM) [O] . Mahdjoubi Abdelhalim, Zegnini Boubakeur, Mohammed Belkheiri 2018

机译：秒和雨条件下使用最小二乘支持向量机（LS-SVM）预测污染绝缘子的临界闪络电压

Fixed least squares support vector machines for flashover modelling of outdoor insulators

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