考虑故障风险与不确定性的海上风电主变压器检修策略
CSTR:
作者:
作者单位:

(上海电力大学电气工程学院,上海 200090)

通讯作者:

淡淑恒(1969—),女,博士,教授,主要从事电气设备制造及电气设备与系统的相互影响等研究;E?mail:aa3047232201@163.com

中图分类号:

TM407

基金项目:

国家自然科学基金(50577040)


Maintenance strategy of offshore wind power main transformer considering fault risk and uncertainty
Author:
Affiliation:

(College of Electrical Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [25]
  • | | | |
  • 文章评论
    摘要:

    为提高海上风电主变压器检修策略优化的科学性,在保证可靠运行的前提下,提出一种考虑故障风险与不确定性的海上风电主变压器检修策略优选方法。首先,详细分析故障风险成本模型,据此建立海上风电主变压器全寿命周期成本(life cycle cost,LCC)模型,并引入盲数理论将LCC中不确定性参数用数学模型定量进行计算,提高成本估算精度。然后,从成本管理角度出发,分析维修方案对LCC的影响,进而建立以LCC最低为目标的海上风电主变压器检修策略优化模型,并通过改进的布谷鸟搜索算法进行求解。最后,经算例验证,所提模型和检修策略优选方法具有较强的可操作性,能为海上风电主变压器的可靠运行提供一定的参考价值。

    Abstract:

    In order to improve the maintenance strategy of transformers in offshore wind power system, under the premise of ensuring reliable operation, an optimal selection method for the maintenance strategy of transformers in offshore wind power system is proposed, considering fault risks and uncertainties. Firstly, the fault risk cost model is analyzed in detail , based on which a life cycle cost (LCC) model for transformers in offshore wind power system is established. And the blind number theory is introduced to quantitatively calculate the uncertain parameters in LCC using mathematical models, thereby improving the accuracy of cost estimation. Then, from the perspective of cost management, the impact of maintenance plans on LCC is analyzed, and an optimization model for the maintenance strategy of transformers with the lowest LCC as the goal is established, which is solved by an improved Cuckoo algorithm. Finally, the example verifies that the proposed model and the optimal maintenance strategy method have strong operability, which can provide a certain reference value for the reliable operation of transformers in offshore wind power system.

    参考文献
    [1] 葛维春,张诗钽,崔岱,等.海上风电送出与就地消纳技术差异综述[J].电测与仪表,2022,59(5):23-32. GE Weichun,ZHANG Shitan,CUI Dai,et al.Summary of differences between offshore wind power transmission and local consumption technology[J].Electrical Measurement & Instrumentation,2022,59(5):23-32.
    [2] 时帅,吴慧娴,黄冬梅,等.考虑复杂海洋气候条件影响的海上风电场储能容量配置研究[J].电力系统保护与控制,2022,50(10):172-179. SHI Shuai,WU Huixian,HUANG Dongmei,et al.Energy storage capacity configuration of an offshore wind farm considering the influence of complex ocean climate conditions[J].Power System Protection and Control,2022,50(10):172-179.
    [3] MADHIARASAN M.Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network[J].Protection and Control of Modern Power Systems,2020,5(1):166-173.
    [4] ECARLO F,ARLEO M A.Imperfect maintenance models,from theory to practice[J].System Reliability,2017(18):335-354.
    [5] 袁野,王慧芳,应高亮,等.基于最小累积风险度的电网等风险检修决策[J].电力自动化设备,2017,37(11):151-155. YUAN Ye,WANG Huifang,YING Gaoliang,et al.Equal risk maintenance decision for power grid based on minimum cumulative risk[J].Electric Power Automation Equipment,2017,37(11):151-155.
    [6] 符杨,周全,贾锋,等.基于SCADA数据图形化的海上风电机组故障预测[J].中国电机工程学报,2022,42(20):7465-7475. FU Yang,ZHOU Quan,JIA Feng,et al.Fault prediction of offshore wind turbines based on graphical processing of SCADA data[J].Proceedings of the CSEE,2022,42(20):7465-7475.
    [7] 张寒,刘卫东,潘志敏,等.基于自适应概率神经网络的变压器健康状态评估[J].高压电器,2022,58(2):103-110. ZHANG Han,LIU Weidong,PAN Zhimin,et al.Health state assessment of transformer based on adaptive probabilistic neural network[J].High Voltage Apparatus,2022,58(2):103-110.
    [8] 禹洪波,袁婉玲,汪敏,等.基于非对称贴近度证据云物元模型的电力变压器综合状态评估方法[J].电网技术,2021,45(9):3706-3713. YU Hongbo,YUAN Wanling,WANG Min,et al.Comprehensive condition assessment of power transformer based on asymmetric nearness degree evidence cloud matter-element model[J].Power System Technology,2021,45(9):3706-3713.
    [9] 杜厚贤,刘昊,雷龙武,等.基于振动信号多特征值的电力变压器故障检测研究[J].电工技术学报,2023,38(1):83-94. DU Houxian,LIU Hao,LEI Longwu,et al.Power transformer fault detection based on multi-eigenvalues of vibration signal[J].Transactions of China Electrotechnical Society,2023,38(1):83-94.
    [10] 张恒,王建学,曹晓宇.采用全寿命周期成本与风险分析的农村配电变压器更换投资策略[J].西安交通大学学报,2015,49(8):133-140. ZHANG Heng,WANG Jianxue,CAO Xiaoyu.Replacement and investment strategy for distribution transformer in rural area based on life-cycle cost theory and risk assessment[J].Journal of Xi'an Jiaotong University,2015,49(8):133-140.
    [11] 梁钢,樊冰,郑伟东.基于生命周期风险图的设备检修策略优化[J].科学技术与工程,2021,21(24):10310-10316. LIANG Gang,FAN Bing,ZHENG Weidong.Optimization of equipment maintenance strategy based on life cycle risk graph[J].Science Technology and Engineering,2021,21(24):10310-10316.
    [12] 郑业爽,李世春,鲁玲.基于多策略ISOA优化SVM的变压器故障诊断研究[J].智慧电力,2023,51(2):38-44. ZHENG Yeshuang,LI Shichun,LU Ling.Transformer fault diagnosis based on multi-strategy ISOA optimized SVM[J].Smart Power,2023,51(2):38-44.
    [13] 卞建鹏,杨苏,高世闯,等.基于全寿命周期成本的电力变压器检修决策[J].电力系统及其自动化学报,2019,31(5):77-83. BIAN Jianpeng,YANG Su,GAO Shichuang,et al.Maintenance decision for power transformer based on life cycle cost[J].Proceedings of the CSU-EPSA,2019,31(5):77-83.
    [14] 胡碧伟,邓祥力,贾声昊.基于ANFIS 的变压器寿命预测和状态评估[J].电测与仪表,2022,59(1):61-68. HU Biwei,DENG Xiangli,JIA Shenghao.Transformer life estimation and state assessment based on ANFIS[J].Electrical Measurement & Instrumentation,2022,59(1):61-68.
    [15] 易弢,廖俊龙,陈彬,等.配电网电缆故障成本风险评估模型法研究[J].计算机仿真,2016,33(12):128-131+142. Yi Tao,Liao Junlong,Chen Bin,et al.Research on cost risk Assessment Model for Distribution Network Cable Fault[J].Computer Simulation,2016,33(12):128-131+142.
    [16] 何宇斌,郭嘉,沈俭荣,等.基于风险节点电价的互联系统分散协同调度方法[J].电网技术,2017,41(8):2462-2468. HE Yubin,GUO Jia,SHEN Jianrong,et al.Decentralized synergetic dispatch of interconnected power systems with risk-based locational marginal price[J].Power System Technology,2017,41(8):2462-2468.
    [17] 陈磊,姜飞,涂春鸣.考虑负荷最大概率分布与故障风险的配电变压器优选方法[J].电网技术,2021,45(3):1109-1116. CHEN Lei,JIANG Fei,TU Chunming.Optimal selection method of distribution transformer considering maximum probability distribution characteristics and fault risk[J].Power System technology,2021,45(3):1109-1116.
    [18] 贺兰菲,熊川羽,马莉,等.考虑寿命差异化现象的变压器寿命预测方法研究[J].供用电,2022,39(9):93-100. HE Lanfei,XIONG Chuanyu,MA Li,et al.Research on transformer lifetime prediction method considering difference of lifetime distribution[J].Distribution & Utilization,2022,39(9):93-100.
    [19] 陈林聪.风电机组齿轮箱预防性维修与机会维修决策研究[D].北京:华北电力大学,2016. CHEN Lincong.Research on the decision of preventive maintenance and opportunity maintenance of gear box of wind turbine[D].Beijing:North China Electric Power University,2016.
    [20] 陈则钧,龚雯.机电设备故障诊断与维修技术[M].北京:高等教育出版社,2008:145?155. CHEN Zejun,GONG Wen.Fault diagnosis and maintenance technology of mechanical and electrical equipment[M].Beijing:Higher Education Press,2008:145?155.
    [21] 孙超.基于风险量化分析的电力变压器多层次检修策略研究[D].重庆:重庆大学,2014. SUN Chao.Study on multi-level maintenance strategy of power transformers based on quantitative risk assessment[D].Chongqing:Chongqing University,2014.
    [22] Q/GDW 168—2008.输变电设备状态检修试验规程[S]. Q/GDW 168—2008.Test code for condition-based maintenance of power transmission and transformation equipment[S].
    [23] 黄闽茗,何庆,文熙.基于逐维反向学习的动态适应布谷鸟算法[J].计算机应用研究,2020,37(4):1015-1019. HUANG Minming,HE Qing,WEN Xi.Dynamically adaptive cuckoo search algorithm based on dimension by opposition-based learning[J].Application Research of Computers,2020,37(4):1015-1019.
    [24] WEI W H,ZHOU J LCHEN F.Constrained differential evolution using generalized opposition-based learning[J].Soft Computing:A Fusion of Foundations,Methodologies and Applications,2016,20(11):4413-4437.
    [25] 陈敏,佘双翔,刘小松,等.基于LCC的海上风电场主变压器冗余配置经济性对比与分析[J].电力系统自动化,2015,39(14):168-174. CHEN Min,SHE Shuangxiang,LIU Xiaosong,et al.Economical assessment on redundancy configuration of maintrans formers for offshore wind farm based on life cycle cost[J].Automation of Electric Power Systems,2015,39(14):168-174.
    相似文献
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

马 壮,淡淑恒.考虑故障风险与不确定性的海上风电主变压器检修策略[J].电力科学与技术学报,2024,39(2):214-222.
MA Zhuang, DAN Shuheng. Maintenance strategy of offshore wind power main transformer considering fault risk and uncertainty[J]. Journal of Electric Power Science and Technology,2024,39(2):214-222.

复制
分享
文章指标
  • 点击次数:128
  • 下载次数: 588
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 在线发布日期: 2024-05-29
文章二维码