Multi-objective Optimal Design of Power Transformer Based on Energy-saving and Noise Reduction

JIANG Xue-feng; HUANG Wen-xin

doi:10.13296/j.1001-1609.hva.2013.05.011

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Multi-objective Optimal Design of Power Transformer Based on Energy-saving and Noise Reduction

更新时间：2025-04-26

- Multi-objective Optimal Design of Power Transformer Based on Energy-saving and Noise Reduction
- High VoltageApparatus Vol. 49, Issue 5, Pages: 49-53+59(2013)
- 作者机构：
  
  江苏省新能源发电与电能变换重点实验室(南京航空航天大学)
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2013.05.011
  CLC： TM41
- Published：2013
- 稿件说明：
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[1]蒋雪峰,黄文新.基于节能与减噪的电力变压器多目标优化设计[J].高压电器,2013,49(05):49-53+59.

JIANG Xue-feng, HUANG Wen-xin. Multi-objective Optimal Design of Power Transformer Based on Energy-saving and Noise Reduction[J]. High voltageapparatus, 2013, 49(5): 49-53+59.
[1]蒋雪峰,黄文新.基于节能与减噪的电力变压器多目标优化设计[J].高压电器,2013,49(05):49-53+59. DOI： 10.13296/j.1001-1609.hva.2013.05.011.

JIANG Xue-feng, HUANG Wen-xin. Multi-objective Optimal Design of Power Transformer Based on Energy-saving and Noise Reduction[J]. High voltageapparatus, 2013, 49(5): 49-53+59. DOI： 10.13296/j.1001-1609.hva.2013.05.011.

摘要

笔者针对当前迫切需要解决的电力变压器的节能与减噪问题

提出了一种既能使变压器节能

同时又兼顾减噪的多目标优化设计。在对电力变压器的节能和减噪理论进行分析的基础上

研究了电力变压器的节能、减噪设计的优化方案

分析了该方案节能与减噪的效益;然后

在此基础上又研究提出了一种同时兼顾节能与减噪并考虑总成本的新型多目标优化设计综合方案

并以SZ10-40000/110有载调压主电力变压器为例进行了实例优化与讨论

验证了该优化设计的有效性与先进性。

Abstract

The problem of energy saving and noise reduction of power transformer is an urgent problem to be solved. This paper proposes a multi-objective optimization design of the power transformer to save energy and to reduce noise.An optimization scheme is researched for energy saving and noise reduction of power transformer based on analysis the methods on energy saving and noise reduction of the power transformer.Then

a new multi-objective optimization design is put forward by taking energy saving

noise reduction

and the total cost of power transformer in to consideration.A SZ10-40000/110 on-load power transformer is optimized and discussed.The results verify the effectiveness and advanced of the optimization design.

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