双碳背景下预制舱变电站全寿命周期成本研究
(1.广东电网有限责任公司广州供电局,广东 广州 510600;2.中国电力工程顾问集团中南电力设计院有限公司,湖北 武汉 430064)
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摘要:在“碳达峰、碳中和”背景下,预制舱变电站的设计理念符合绿色、低碳、环保的发展趋势,在电力系统建设中得到了广泛应用。首先,基于全寿命周期成本理论,建立了预制舱变电站的全寿命周期成本模型,明确预制舱变电站全寿命周期成本(LCC)的构成。其次,系统分析了影响预制舱变电站LCC变化的因素,并对LCC进行敏感性分析。然后,以降低LCC、控制风险、提高经济效益为目标,基于PSO算法建立LCC优化模型并求解优化后的LCC。在满足可靠性和运行稳定性的前提下对LCC进行优化,为预制舱变电站全寿命周期成本控制提供了理论基础,为预制舱变电站的建设运行提供参考。关键词:预制舱变电站;全寿命周期;成本测算模型;技术经济指标;敏感性分析;成本优化Abstract:Under the background of "carbon peaking and carbon neutrality",the design concept of prefabricated substations aligns with the development trend of green,low-carbon,and environmentally friendly practices,and has been widely applied in power system construction. Firstly,based on the theory of life-cycle cost(LCC),a LCC model for prefabricated substations is established,clarifying the composition of the LCC. Secondly,the factors affecting the LCC variation of prefabricated substations are systematically analyzed,and a sensitivity analysis of LCC is conducted. Then,with the goals of reducing LCC,controlling risk,and improving economic efficiency,an LCC optimization model is established based on the PSO algorithm,and the optimized LCC is solved. Optimizing LCC under the premise of meeting reliability and operational stability provides a theoretical basis for the LCC control of prefabricated substations and a reference for the construction and operation of prefabricated substations.Keywords:prefabricated substation;life-cycle cost;cost calculation model;technical and economic indicators;sensitivity analysis;cost optimization参考文献[1] 王广慧,董新伟,杨飞,等.某煤矿110kV无人值守变电站全寿命周期成本建模及敏感性分析[J].中国矿业,2021(S1):68-73.[2] 王绵斌,张妍,耿鹏云,等.基于优化正交偏最小二乘法的变电站全寿命周期成本预测分析[J].智慧电力,2020(5):119-124.[3] Possatti F C,Lenon D P,Luís J S,et al. Methodology for cost analysis of the unavailability of power transformers in Brazilian substations[J]. Electric power components and systems,2024(3):414-425.[4] Panda K N,Poikilidis M,Nguyen H P. Cost-effective upgrade of the Dutch traction power network:Moving to Bi-directional and controllable 3 kV DC substations for improved performance[J]. IET electrical systems in transportation,2023(2).[5] Songsong W,Wenxuan Q,Lei W,et al. Cost management of power grid transmission and substation project based on BIM technology[J]. Applied mathematics and nonlinear sciences,2023(2):1433-1446.[6] 刘洋,苏浩益.基于盲数理论的智能变电站全寿命周期成本估算[J].中国电力,2016(3):83-87.[7] 乔国华,郭路遥,吴一敌,等.基于遗传优化最小二乘支持向量机的变电站全寿命周期成本预测模型[J].中国电力,2015(11):142-148.[8] 李存斌,李锦贤.基于三参数区间灰数的变电站全寿命周期成本估算模型应用[J].广东电力,2014(10):1-5.建筑经济,2026(9):70-77
