基于模糊平滑的安徽地区110 kV GIS 变电站LCC 模糊估算模型

doi:10.16088/j.issn.1001-6600.2020.05.003

Abstract

Abstract: To effectively improve the capital and land utilization efficiency of 110 kV GIS substation in Anhui area, and guide the planning and management of the substation in the early and later stages. In this paper, the life cycle costs (LCC) of 110 kV GIS substation with 12 design schemes are estimated, the design planning of substation is considered from the perspective of economic cost, and fuzzy theory is introduced into the estimation process to improve the accuracy and reliability of the estimation model. The estimated results show that the estimated costs of the 110-A1-2 and 110-A1-4 design schemes are the lowest, which are suitable for Anhui area. This result has certain reference significance for operation management and planning of 110 kV GIS substation of city power grid in Anhui area.

Key words: 110 kV GIS substation, life cycle cost, fuzzy theory

CLC Number:

TM63

LIU Shili, ZHU Xiaohu, LIU Li, FANG Tianrui. Life Cycle Cost Estimation of 110 kV GIS Substation in Anhui Based on Fuzzy Theory[J].Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(5): 24-33.

References

[1] 北京电力经济技术研究院.35 kV~220 kV城市地下变电站设计规程:DL/T 5216—2017[S].北京:国家能源局,2017.
[2] BARKER R, CHILDERHOUSE P, NAIM M, et al. Potential of total cycle time compression in construction: focus on program development and design[J]. Journal of Construction Engineering and Management, 2004, 130(2): 177-187. DOI: 10.1061/(ASCE)0733-9364(2004)130:2(177).
[3] 王凯军, 孙飞飞, 兰洲, 等. 全寿命周期成本管理在实际电力网络规划中的应用[J]. 电力建设, 2016, 37(4):43-49. DOI: 10.3969/j.issn.1000-7229.2016.04.007.
[4] 张全明, 孙可. 全寿命周期管理在电网规划计划中的应用研究[J]. 企业管理, 2016(增刊1): 340-341.
[5] 杨磊, 应黎明, 王玉磊. 变电站建设全生命周期成本估算研究[J]. 计算机仿真, 2017, 34(1): 123-128. DOI: 10.3969/j.issn.1006-9348.2017.01.026.
[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, 49(3): 83-87.
[7] 谢志炜. 基于全寿命周期成本管理的110 kV轻载变电站分析[J]. 电气技术与经济, 2019(1): 39-43. DOI: 10.3969/j.issn.1673-8845.2019.01.012.
[8] 方明. 基于LCC的110 kV变电站分期建设模式成本效益分析[J]. 企业技术开发, 2018, 37(11): 118-121, 136. DOI: 10.14165/j.cnki.hunansci.2018.11.035.
[9] 熊志伟, 熊元新, 熊一. 基于量子粒子群优化最小二乘支持向量机的变电站全寿命周期成本预测研究[J/OL]. 电测与仪表(2019-09-03)[2020-04-27]. http://kns.cnki.net/kcms/detail/23.1202.th.20190903.0922.002.html.
[10] 刘尚科, 丁向阳, 俱鑫, 等. 某地区变电站全生命周期造价管理工程应用研究[J]. 西安理工大学学报, 2019, 35(4): 518-523. DOI: 10.19322/j.cnki.issn.1006-4710.2019.04.018.
[11] 李文韬, 金文彪, 陆薇佳, 等. 基于全生命周期成本的地下变电站管理研究[J]. 华东电力, 2013, 41(10): 2164-2168.
[12] 韩天祥, 黄华炜, 陆一春. LCC管理技术在国外电力系统的研究与应用[J]. 上海电力, 2004(3): 192-194.
[13] SUN R. A CIM-based system model for life-cycle assets management and control integration in smart grid[C] // 2010 International Conference on Information, Networking and Automation: Volume 2. Piscataway, NJ: IEEE Press, 2010: 337-341. DOI: 10.1109/ICINA.2010.5636498.
[14] SCHNEIDER J, GAUL A J, NEUMANN C, et al. Asset management techniques[J]. International Journal of Electrical Power & Energy Systems, 2006, 28(9): 643-654. DOI: 10.1016/j.ijepes.2006.03.007.
[15] 徐岩, 迟成. 基于LCC管理的变电站主接线的风险评估[J]. 电力系统保护与控制, 2015, 43(4): 74-80.
[16] 姜益民. 电力变压器发展趋势及攻关方向[J]. 上海电力, 2007, 20(1): 60-63.
[17] 张俊. 基于全寿命周期成本(LCC)的变电站建设的决策分析[D]. 重庆: 重庆大学, 2007.
[18] 郭丽娟, 陶松梅, 张炜. 兼顾供电可靠性和LCC的变电站主设备检修策略优化方法[J]. 电力系统自动化, 2016, 40(15): 99-105. DOI: 10.7500/AEPS20150718001.
[19] 李林, 刘芳芳, 谢光彬. 基于全寿命周期成本理论的架空线选型方法研究[J]. 华北电力大学学报, 2010, 37(6): 23-28. DOI: 10.3969/j.issn.1007-2691.2010.06.005.
[20] 姜源,王丹,孝小昂,等.全寿命周期成本理论在变电站非晶合金站用变压器选型中的应用[J].智慧电力,2018,46(04):63-69.
[21] 洪倩, 王奇, 郭峰, 等. 基于全寿命周期理论的变电站环保投资经济性评价[J]. 中国电力, 2016, 49(增刊): 44-48.
[22] 冀凯琳. 基于LCC理论的电力设备检修策略研究[D]. 北京: 华北电力大学, 2011.
[23] 杜渐, 顾洁, 秦杰, 等. 基于模糊理论的地下变电站LCC估算[J]. 电力系统及其自动化学报, 2014, 26(10): 61-68. DOI: 10.3969/j.issn.1003-8930.2014.10.012.
[24] 国家电网公司. 国家电网公司电网检修运维和运营管理成本标准[S]. 北京: 国家电网公司, 2009.
[25] 梁喜, 陈永鹏. 基于模糊理论与DSW算法的建设项目LCC方案决策[J]. 计算机工程与应用, 2017, 53(15): 255-259, 270.

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Life Cycle Cost Estimation of 110 kV GIS Substation in Anhui Based on Fuzzy Theory

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