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Adjustment of Model Parameters to Estimate Distribution Transformers Remaining Lifespan

Adjustment of Model Parameters to Estimate Distribution Transformers Remaining Lifespan

作     者:Victor A. Jimenez Adrian Will Jorge Gotay Sebastián Rodríguez 

作者机构:Grupo de Investigación en Tecnologías Informáticas Avanzadas—U.T.N.-F.R.T Tucumán Argentina Consejo Nacional de Investigaciones Científicas y Técnicas Buenos Aires Argentina 

出 版 物:《Smart Grid and Renewable Energy》 (智能电网与可再生能源(英文))

年 卷 期:2018年第9卷第9期

页      面:151-170页

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:Distribution Transformer Thermal Model Transformer Lifespan Parameters Adjustment Genetic Algorithms 

摘      要:Currently, the electrical system in Argentina is working at its maximum capacity, decreasing the margin between the installed power and demanded consumption, and drastically reducing the service life of transformer substations due to overload (since the margin for summer peaks is small). The advent of the Smart Grids allows electricity distribution companies to apply data analysis techniques to manage resources more efficiently at different levels (avoiding damages, better contingency management, maintenance planning, etc.). The Smart Grids in Argentina progresses slowly due to the high costs involved. In this context, the estimation of the lifespan reduction of distribution transformers is a key tool to efficiently manage human and material resources, maximizing the lifetime of this equipment. Despite the current state of the smart grids, the electricity distribution companies can implement it using the available data. Thermal models provide guidelines for lifespan estimation, but the adjustment to particular conditions, brands, or material quality is done by adjusting parameters. In this work we propose a method to adjust the parameters of a thermal model using Genetic Algorithms, comparing the estimation values of top-oil temperature with measurements from 315 kVA distribution transformers, located in the province of Tucumán, Argentina. The results show that, despite limited data availability, the adjusted model is suitable to implement a transformer monitoring system.

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