A General Methodology for Evaluation and Classification of Oil-Immersed Power Transformers: Application to Electrical an
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A General Methodology for Evaluation and Classification of Oil‑Immersed Power Transformers: Application to Electrical and Physicochemical Parameters Leonardo da Cunha Brito1 · André Pereira Marques2,3 · Cacilda de Jesus Ribeiro1 · Nicolas Kemerich de Moura1 · Yuri Andrade Dias1 · Cláudio Henrique Bezerra Azevedo2 · José Augusto Lopes dos Santos2 · Pedro Henrique da Silva Palhares1 Received: 16 April 2018 / Revised: 6 April 2019 / Accepted: 8 June 2019 © Brazilian Society for Automatics--SBA 2019
Abstract Condition monitoring of power transformers is of vital importance to prevent electricity supply stoppages and reduce power plant maintenance costs. To that end, the use of techniques to evaluate and classify the condition of these devices is highly recommended in order to obtain good quality information for their proper maintenance planning. This article presents and details a general methodology for the creation of methods to evaluate and classify these devices, by means of computational modeling and optimization. The results indicate a higher than 93% accuracy rate compared to that of numerical evaluations and symbolic classifications expected by experts, thus demonstrating the applicability of the proposed methodology, which is found to be superior in comparisons against Computational Intelligence and Statistical Learning methods. Keywords Classification · Evaluation · Methodology · Diagnostic · Power transformers
1 Introduction * Nicolas Kemerich de Moura [email protected] Leonardo da Cunha Brito [email protected] André Pereira Marques [email protected] Cacilda de Jesus Ribeiro [email protected] Yuri Andrade Dias [email protected] Cláudio Henrique Bezerra Azevedo [email protected] José Augusto Lopes dos Santos [email protected] Pedro Henrique da Silva Palhares [email protected] 1
School of Electrical, Mechanical and Computer Engineering, Federal University of Goiás, Goiânia, GO, Brazil
2
Enel Distribuição Goiás, Goiânia, GO, Brazil
3
Federal Institute of Education, Science and Technology of Goiás, Goiânia, GO, Brazil
The development and use of predictive techniques aimed at increasing the efficiency of preventive maintenance processes are essential to preserve the service life of power transformers, which are vital and high-cost devices in the power transmission and distribution system (Marques et al. 2014; Jahromi et al. 2009). Obviously, the same concept applies to the other elements that make up electric power supply systems. Typically, a wide range of methods can be applied to evaluate the condition of power transformers. These methods usually include, among others: • Dissolved gas analysis of transformer insulating oil,
which reveals the existence of incipient thermal or electrical faults in the transformer (Duval and Lamarre 2014; IEC 2007; Singh and Bandyopadhyay 2010); • Physicochemical analysis, which allows one to identify the degradation level of transformer insulating oil and infers that of electrical insulation paper (Barbosa et al. 2012;
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