| 1 | 0 | 31 |
| 下载次数 | 被引频次 | 阅读次数 |
为优化变压器选型与成本控制，首先，采用全生命周期成本（life cycle cost，LCC）理论和逼近理想解排序（technique for order preference by similarity to an ideal solution，TOPSIS）法，基于多项变电站工程变压器数据，探究变压器LCC构成及电压等级、接线方式、冷却方式等7项影响因素，对影响因素进行加权评估，并计算变压器LCC的各分项成本；其次，通过控制变量法量化电压等级等4项关键因素对变压器LCC的影响，探究关键因素对变压器成本机制的耦合效应，确定35 kV、220 kV及330 kV变压器LCC最低方案。结果显示，电压等级显著影响变压器LCC，接线方式与冷却方式对其的影响也较大；各分项成本在LCC中的占比保持相对稳定；单因素影响下，电压等级越高，变压器LCC越高，而是否为智能变压器对短期成本影响较小，长期来看智能变压器更具经济性。
Abstract：In order to optimize the transformer selection and cost control, firstly, the life cycle cost(LCC) theory and technique for order preference by similarity to an ideal solution(TOPSIS) method are used to explore the seven influencing factors of transformer LCC composition and voltage level, wiring mode and cooling mode based on the transformer data of several substation projects. The influencing factors are weighted and evaluated, and the sub-item costs of the transformer LCC are calculated. Secondly, the influence of four key factors such as voltage level on transformer LCC is quantified by control variable method, the coupling effect of key factors on transformer cost mechanism is explored, and the lowest LCC scheme for 35 kV, 220 kV and 330 kV transformers is determined. The results show that the voltage level significantly affects transformer LCC, and the connection mode and cooling mode also have a great influence. The proportion of each sub- item cost in LCC remains relatively stable. Under the influence of a single factor, the higher the voltage level, the higher transformer LCC, and whether it is a smart transformer or not has little effect on the short-term cost. In the long run, the smart transformer is more economical.
[1] Soni R, Mehta B. Evaluation of power transformer health analysis by internal fault criticalities to prevent premature failure using statistical data analytics approach[J]. Engineering Failure Analysis, 2022, 136:106213.
[2] Meyer C, De Doncker R W. LCC Analysis of Different Resonant Circuits and Solid-State Circuit Breakers for Medium-Voltage Grids[J]. IEEE Transactions on Power Delivery, 2006, 21(3):1414-1420.
[3] 王斌,冯百乐.不同能效等级下的变压器全寿命周期运行成本分析[J].建筑电气,2023,42(9):45-49. WANG Bin, FENG Baile. Analysis of Operating Costs in the Full Life Cycle of Transformers at Different Energy Efficiency Levels[J]. Building Electricity, 2023, 42(9):45-49.
[4] 王涌.电力变压器全寿命周期成本模型分析[J].电气技术与经济, 2023(1):104-106.
[5] 余劢.基于变压器产品的全生命周期成本采购模式的研究[J].招标采购管理,2024(5):55-57.
[6] Gustavsen B, Portillo A, Ronchi R, et al. Measurements for validation of manufacturer's white-box transformer models[J]. Procedia Engineering, 2017, 202:240-250.
[7] Zhao S, Chen H, Fan L, et al. Comprehensive Evaluation and Optimal Selection of Carbon Reduction Technologies for Power Transmission and Transformation Projects[C]//20236th International Conference on Renewable Energy and Power Engineering(REPE). Beijing:IEEE, 2023.
[8] Fan L, Chen H, Zhao S, et al. Comparative Economic Analysis of Transmission Lines Adopted for Energy-Saving Conductors Considering Life Cycle Cost[J]. Inventions, 2024, 9(4):75.
[9] Liu B, Yu X, Chen J, et al. Air pollution concentration forecasting based on wavelet transform and combined weighting forecasting model[J]. Atmospheric Pollution Research, 2021, 12(8):101144.
[10] 连鸿松,刘慧鑫,黄锦,等.变压器油多参量一体化分析平台[J]. 变压器,2025,62(4):53-61. LIAN Hongsong, LIU Huixin, HUANG Jin, et al. Transformer oil multi-parameter integrated analysis platform[J]. Transformer, 2025, 62(4):53-61.
[11] Han H, Li X, Gu X, et al. Urban rivers health assessment based on the concept of resilience using improved FCM-EWM- MABAC model[J]. Ecological Indicators, 2023, 154:110833.
[12] Gebrehiwet T, Luo H. Risk Level Evaluation on Construction Project Lifecycle Using Fuzzy Comprehensive Evaluation and TOPSIS[J]. Symmetry, 2019, 11(1):12.
[13] Stoilova S. Application of SIMUS method for assessment alternative transport policies for container carriage[C]//Proceedings of the 18th International Scientific Conference Engineering for Rural Development. Jelgava:Engineering for Rural Development, 2019.
[14] Wang Y, Chen H, Zhao S, et al. Benefit Evaluation of Carbon Reduction in Power Transmission and Transformation Projects Based on the Modified TOPSIS-RSR Method[J]. Energies, 2024, 17(12):2988.
[15] Chen X, Ou Y. Carbon emission accounting for power transmission and transformation equipment:An extended life cycle approach[J]. Energy Reports, 2023, 10:1369-1378.
[16] 马瑶.变电站工程前期造价控制及其在X工程的应用[D].济南:山东大学,2016.
[17] 胡雪莹,李琳.基于全寿命周期成本和综合故障率的油浸式变压器经济寿命评估[J].智慧电力,2024,52(1):47-54. HU Xueying, LI Lin. Economic Life Evaluation of Oil-Immersed Transformer Based on Life Cycle Cost and Comprehensive Failure Rate[J]. Smart Power, 2024, 52(1):47-54.
[18] 许宗鑫,崔杨,岳飞,等.考虑等效寿命损耗及多维度效益的电网侧储能系统容量优化配置[J].东北电力大学学报,2025,45(1):73-82. XU Zongxin, CUI Yang, YUE Fei, et al. Optimal Capacity Configuration of Grid-Side Energy Storage System Considering Equivalent Life Loss and Multi-Dimensional Benefits[J]. Journal of Northeast Dianli University, 2025, 45(1):73-82.
[19] 宋宛净,姚建刚,汪觉恒,等.全寿命周期成本理论在主变压器选择中的应用[J].电力系统及其自动化学报,2019,24(6):111-116. SONG Wanjing, YAO Jiangang, WANG Jueheng, et al. Application of Life Cycle Cost Theory in Main Transformer Selection[J]. Proceedings of the CSU-EPSA, 2019, 24(6):111- 116.
[20] 刘红磊.变压器油纸绝缘老化的动力学特性与寿命评估方法[D].北京:华北电力大学,2022.
[21] 赵瑞敏.220 kV节能变压器研究[D].济南:山东大学,2019.
[22] Lei X, Xin-gang Z. The synergistic effect between renewable portfolio standards and carbon emission trading system:A perspective of China[J]. Renewable Energy, 2023, 211:1010- 1023.
[23] 曾建生,马兰,王昭雷.基于系统动力学的电力变压器全寿命周期影响因素分析[J].电器工业,2024(2):37-45.
[24] 高鸿鹏,咸日常,吕东飞,等.低压无功补偿接线方式对配电变压器防雷性能的影响分析[J].电力电容器与无功补偿,2022,43(4):15-20. GAO Hongpeng, XIAN Richang, LYU Dongfei, et al. Analysis on Influence of Low Voltage Reactive Power Compensation Wiring Mode on Lightning Protection Performance of Distribution Transformer[J]. Power Capacitor & Reactive Power Compensation, 2022, 43(4):15-20.
[25] 易云,任洁,吴杰,等.一起330 kV变压器故障分析及处理[J].变压器,2025,62(6):70-74. YI Yun, REN Jie, WU Jie, et al. Fault analysis and treatment of 330 kV transformer[J]. Transformer, 2025, 62(6):70-74.
[26] 刘隰蒲,潘正宁,董诗琪,等.一起220 kV主变油色谱总烃超标缺陷分析及处理[J].变压器,2024,61(10):70-72. LIU Xipu, PAN Zhengning, DONG Shiqi, et al. Analysis and treatment of total hydrocarbon overstandard defect in 220 kV transformer[J]. Transformer, 2024, 61(10):70-72.
[27] 徐铭璐,马超,曹立锟.基于径向基神经网络的变压器电气设备热缺陷诊断方法[J].变压器,2024,61(4):34-38. XU Minglu, MA Chao, CAO Likun. Intelligent diagnosis method for thermal defects of current heating transformer based on RBFNN[J]. Transformer, 2024, 61(4):34-38.
基本信息:
DOI：10.19929/j.cnki.nmgdljs.2026.0008
引用信息:
[1]范蓝心1, 陈衡1, 俞天阳1,等.基于TOPSIS法的变压器全生命周期成本影响因素分析及优化建议[J],2026,44(1):52-60.DOI:10.19929/j.cnki.nmgdljs.2026.0008.
基金信息:
国家电网有限公司科技项目“统一大市场与减碳发展下输变电工程方案优选与造价稳控关键技术研究”（5200-202356133A-1-1-ZN）