首页|期刊导航|工程设计学报|基于多目标海星优化算法的干式配电变压器结构优化设计方法

基于多目标海星优化算法的干式配电变压器结构优化设计方法OA

Structural optimization design method for dry-type distribution transformer based on multi-objective starfish optimization algorithm

中文摘要英文摘要

为了提高环氧树脂干式配电变压器的服役性能,以一台10 kV/0.4 kV环氧树脂干式配电变压器为研究对象,提出了一种基于多目标海星优化算法(multi-objective starfish optimization algorithm,MOSFOA)的干式配电变压器结构优化设计方法.首先,建立了电磁-热-力耦合的变压器模型并进行性能仿真,确定以高/低压绕组导体截面积、风道宽度和铁心半径为核心设计变量;其次,运用中心复合设计和响应面法构建了设计变量与高/低压绕组热点温升、损耗及单位体积短路电动力之间的高精度代理模型;最后,基于MOSFOA进行协同寻优,获得最优结构参数组合.优化结果表明:在保持绝缘安全的前提下,相较于初始方案,优化后高、低压绕组热点温升,损耗,高、低压绕组单位体积短路电动力分别降低了22.91%、33.37%、9.39%、42.82%、45.52%,验证了所提出优化方法的有效性.研究结果为干式变压器的优化设计提供了新方法,对提高干式变压器的设计效率和运行可靠性具有重要的参考价值.

In order to enhance the service performance of epoxy resin dry-type distribution transformer,taking a 10 kV/0.4 kV epoxy resin dry-type distribution transformer as the research object,a structure optimization design method for dry-type distribution transformer based on the multi-objective starfish optimization algorithm(MOSFOA)was proposed.Firstly,a transformer model coupling electromagnetic-thermal-mechanical fields was established for performance simulation.The cross-sectional areas of the high/low voltage winding conductors,the width of the air ducts,and the radius of the core were determined as the core design variables.Subsequently,high-precision surrogate models linking the design variables to the hotspot temperature rise,loss and short-circuit electromagnetic force per unit volume of the high/low voltage windings were constructed using central composite design and response surface methodology.Finally,collaborative optimization based on the MOSFOA was performed to obtain the optimal combination of structural parameters.The resultsindicate that,while maintaining the insulation safe,compared with the initial plan,the hotspot temperature rise,loss,and short-circuit electromagnetic force per unit volume of the high/low voltage windings were reduced by 22.91%,33.37%,9.39%,42.82%,and 45.52%respectively after optimization.This verified the effectiveness of the proposed optimization method.The research results provide a new method for the optimization design of dry-type transformers,and have significant reference value for improving the design efficiency and operational reliability of dry-type transformers.

项恩新;李航;聂永杰;管京荣;王东阳

云南电网有限责任公司 电力科学研究院,云南 昆明 650032云南电网有限责任公司 电力科学研究院,云南 昆明 650032云南电网有限责任公司 电力科学研究院,云南 昆明 650032西南交通大学 电气工程学院,四川 成都 611756西南交通大学 电气工程学院,四川 成都 611756

信息技术与安全科学

环氧树脂干式配电变压器结构优化响应面法多目标海星优化算法协同寻优

epoxy resin dry-type distribution transformerstructural optimizationresponse surface methodologymulti-objective starfish optimization algorithmcollaborative optimization

《工程设计学报》 2026 (2)

213-222,10

国家自然科学基金资助项目(52572459)中国南方电网有限责任公司科技项目(YNKJXM20222302)

10.3785/j.issn.1006-754X.2026.06.103

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