使用田口方法优化电力变压器的铁芯损耗

Q3 Engineering EAI Endorsed Transactions on Energy Web Pub Date : 2024-02-06 DOI:10.4108/ew.5051

Geetha A, B. K S, Geetha P, Jemimah Carmicharl M, U. S

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引用次数: 0

摘要

本文重点讨论了电力变压器设计中铁芯面积、铁芯材料和电压等工艺参数的优化问题。文章采用田口正交阵列技术进行实验设计和分析。公用事业变压器在设计阶段通常会考虑相关损耗。铁芯截面的面积、施加的电压以及铁芯材料都会影响铁芯损耗的恶化。我们通过执行模型来研究这些变量对铁芯损耗的影响。使用正交阵列田口方法模拟了一小部分磁芯和线圈组件实验。本研究使用 ANSYS MAXWELL 软件对 8MVA、33/11KV、3 相变压器的铁芯和线圈组件进行建模。MINITAB 软件用于评估程序的预期铁芯损耗，以发现三个控制变量的最佳安排。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimization of Core Loss for Power Transformer Using Taguchi Method

This article focuses on the optimization of process parameters such as core area, core material and voltage for the design of power transformer. It employs Taguchi orthogonal array technique for designing the experiments and its analysis. Utility transformers are usually specified with the losses associated at design stage. The area of the core cross-section applied voltage, as well as the core material all has impact core loss deterioration. The impact of such variables influencing core loss is investigated by executing the model. A small proportion of core as well as the coil assembly experiments is simulated using the Taguchi approach with the orthogonal array. In this study, the core as well as the coil assembly of an 8MVA, 33/11KV, 3 Phase Transformer is modelled in ANSYS MAXWELL software. MINITAB software is used to assess the program's anticipated core loss in order to discover the optimal arrangement for three control variables.

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来源期刊

EAI Endorsed Transactions on Energy Web Energy-Energy Engineering and Power Technology

CiteScore

2.60

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world''s top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.