Opportunistic Group Replacement Maintenance Strategy for Wind Turbines
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摘要: 风电机组的维护成本居高不下,维修策略是影响维护成本的主要原因之一。当前风电场通常在固定时间间隔采取预防性更换维修,这样的策略不够灵活,没有充分利用各部件间的经济相关性。本文将机会成组更换维修策略应用于风电机组中,使用威布尔分布描述机组部件的可靠性;提出了统一的维修成本计算公式并细化了维修成本的组成;依据机会成组更换维修策略的原理,得出更换维修计划,并结合某风电场的历史故障数据及成本数据,给出了该策略在部件级的具体实施案例。结果显示,与传统预防性更换维修策略相比,机会成组更换维修策略减少了总维修次数,节省了总维修成本,从而验证了机会成组更换维修策略在风电机组中应用的有效性。Abstract: The maintenance costs of wind turbines remain high, one of the primary causes of which is the selection of maintenance strategy. Currently, wind farms generally take the preventive replacement maintenance strategy at regular intervals. This strategy is inflexible, not enough to take full advantage of the economic dependence between components. This study applies an opportunistic group replacement maintenance (OGRM) strategy on wind turbines. At first, Weibull distribution is utilized to describe reliability of main components. A uniform formula is proposed to express and subdivide maintenance costs. Then, according to principles of the OGRM strategy, maintenance schedules are obtained by simulation. Finally, combined with historical failure data and maintenance cost data from a certain wind farm, a specific case of implementing the strategy at a component level is given. The results show that, compared with the traditional preventive replacement maintenance strategy, the OGRM strategy reduces total maintenance times and costs, which verifies the effectiveness of applying the strategy on wind turbines.
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表 1 两种维修方式下风电机组部件的维修时间及成本
维修方式 维修时间/h 成本/元 Tw Ta Tc Ts Tm Cf Cm 预防性更换 0 0 tc ts tm cf cm 机会成组更换 0 0 0 ts tm 0 cm 表 2 风电机组部件的可靠性参数及维修参数
序号 部件名称 β η Tm/h Cm/元 1 Crowbar电阻 0.941 604.81 7.62 5 071 2 UPS 1.775 1 372.9 3.76 1 575 3 350A保险 1.141 741.56 10.74 333 4 发电机编码器 1.346 1 150.11 7.24 1 507 5 变桨电池 1.194 1 028.7 20.81 653 6 发电机碳刷 1.181 656.75 7.56 279 7 防冻液 1.038 1 590.02 7.24 76 8 风速仪 1.402 838.39 9.89 2 700 9 滑环 1.125 706.14 13.13 13 676 10 集电环 1.054 861.43 10.21 16 500 表 3 风电机组机会成组更换维修策略计划结果
次数 时刻/d 成本/元 各部件维修方式 1 2 3 4 5 6 7 8 9 10 1 55 8 883 2 0 0 0 0 0 0 0 0 0 2 95 47 886 1 0 1 0 0 1 0 0 2 1 3 151 19 681 2 0 0 0 1 0 1 1 0 0 4 191 50 876 1 0 1 1 0 1 0 0 2 1 5 246 8 883 2 0 0 0 0 0 0 0 0 0 6 286 58 684 1 0 1 0 1 1 1 1 2 1 7 342 11 314 2 1 0 0 0 0 0 0 0 0 8 382 50 876 1 0 1 1 0 1 0 0 2 1 9 437 19 681 2 0 0 0 1 0 1 1 0 0 10 477 47 886 1 0 1 0 0 1 0 0 2 1 11 533 8 883 2 0 0 0 0 0 0 0 0 0 12 573 61 674 1 0 1 1 1 1 1 1 2 1 13 628 8 883 2 0 0 0 0 0 0 0 0 0 14 668 50 318 1 1 1 0 0 1 0 0 2 1 15 724 19 681 2 0 0 0 1 0 1 1 0 0 ⋮ ⋮ ⋮ ⋮ 注:0表示不维修; 1表示采取机会成组更换; 2表示采取预防性更换。 表 4 机组在两种维修策略下的总维修次数及成本
维修策略 次数 成本/元 Ce Cf Cm 总计Ct 预防性更换维修策略 608 1311908 1319987 3172551 5804446 机会成组更换维修策略 152 1316693 329840 3372471 5019004 指标改变量 -456 4785 -990147 199920 -785442 表 5 两种维修策略下的各维修阶段的电能损失
维修策略 各阶段电能损失/元 等待+到场 攀爬 吊装 维修 总计Ce 预防性更换维修策略 0 109492 109492 1092924 1311908 机会成组更换维修策略 0 13680 119700 1183313 1316693 指标改变量 0 -95812 10208 90389 4785 -
[1] González-González A, Cortadi A J, Galar D, et al. Condition monitoring of wind turbine pitch controller:a maintenance approach[J]. Measurement, 2018, 123:80-93 doi: 10.1016/j.measurement.2018.01.047 [2] Renewable Energy Policy Network for the 21st Century. Renewables 2018 global status report[EB/OL].www.ren21.net/status-of-renewables/global-status-report/ [3] 黄玲玲, 曹家麟, 张开华, 等.海上风电机组运行维护现状研究与展望[J].中国电机工程学报, 2016, 36(3):729-738 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgdjgcxb201603017Huang L L, Cao J L, Zhang K H, et al. Status and prospects on operation and maintenance of offshore wind turbines[J]. Proceedings of the CSEE, 2016, 36(3):729-738(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgdjgcxb201603017 [4] 谢鲁冰, 李帅, 芮晓明, 等.海上风电机组维修优化研究综述[J].电力科学与工程, 2018, 34(4):57-65 doi: 10.3969/j.ISSN.1672-0792.2018.04.009Xie L B, Li S, Rui X M, et al. Overview of maintenance strategy optimization of offshore wind turbine[J]. Electric Power Science and Engineering, 2018, 34(4):57-65(in Chinese) doi: 10.3969/j.ISSN.1672-0792.2018.04.009 [5] 符杨, 马媛, 刘璐洁, 等.海上风电机组分阶段预防性维修策略[J].电力建设, 2017, 38(6):124-132 doi: 10.3969/j.issn.1000-7229.2017.06.017Fu Y, Ma Y, Liu L J, et al. Phasic preventive maintenance strategy of offshore wind turbines[J]. Electric Power Construction, 2017, 38(6):124-132(in Chinese) doi: 10.3969/j.issn.1000-7229.2017.06.017 [6] 杨元, 黎放, 侯重远, 等.基于相关性的多部件系统机会成组维修优化[J].计算机集成制造系统, 2012, 18(4):827-832 http://www.cnki.com.cn/Article/CJFDTotal-JSJJ201204023.htmYang Y, Li F, Hou C Y, et al. Opportunistic group maintenance optimization of multi-unit system under dependence[J]. Computer Integrated Manufacturing Systems, 2012, 18(4):827-832(in Chinese) http://www.cnki.com.cn/Article/CJFDTotal-JSJJ201204023.htm [7] 蔡景, 左洪福, 刘明, 等.复杂系统成组维修策略优化模型研究[J].应用科学学报, 2006, 24(5):533-537 doi: 10.3969/j.issn.0255-8297.2006.05.018Cai J, Zuo H F, Liu M, et al. Optimal group preventive maintenance model for complex systems[J]. Journal of Applied Sciences, 2006, 24(5):533-537(in Chinese) doi: 10.3969/j.issn.0255-8297.2006.05.018 [8] 张志霞, 赵乐新, 庞嘉良.天然气管道多部件设备成组维修模型[J].油气储运, 2018, 37(7):734-740 http://d.old.wanfangdata.com.cn/Periodical/yqcy201807003Zhang Z X, Zhao L X, Pang J L. Group maintenance model for multi-unit equipment of natural gas pipeline[J]. Oil & Gas Storage and Transportation, 2018, 37(7):734-740(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/yqcy201807003 [9] 何勇.分阶段成组维护策略在动车组部件预防性维护中的研究[D].兰州: 兰州交通大学, 2017 http://cdmd.cnki.com.cn/Article/CDMD-10732-1017233846.htmHe Y. Research of multi-phase preventive group maintenance strategy on electric multiple unit component[D]. Lanzhou: Lanzhou Jiaotong University, 2017(in Chinese) http://cdmd.cnki.com.cn/Article/CDMD-10732-1017233846.htm [10] 张芳, 肖伟, 贾春雷.基于可靠性的消防车成组维修优化模型[J].机械工程与自动化, 2017(6):33-35 doi: 10.3969/j.issn.1672-6413.2017.06.013Zhang F, Xiao W, Jia C L. Group maintenance optimization model based on reliability for fire-fighting truck[J]. Mechanical Engineering & Automation, 2017(6):33-35(in Chinese) doi: 10.3969/j.issn.1672-6413.2017.06.013 [11] 高颂, 寇雨丰, 康济川.FPSO外输系统维修策略研究[J].船舶工程, 2016, 38(S2):244-248 http://www.cnki.com.cn/Article/CJFDTotal-CANB2016S2066.htmGao S, Kou Y F, Kang J C. Study on maintenance strategy for FPSO offloading system[J]. Ship Engineering, 2016, 38(S2):244-248(in Chinese) http://www.cnki.com.cn/Article/CJFDTotal-CANB2016S2066.htm [12] 王蔚泽.基于MSG-3军用飞机系统维修大纲制订理论方法研究[D].天津: 中国民航大学, 2016 http://cdmd.cnki.com.cn/Article/CDMD-10059-1016776245.htmWang W Z. Theoretical methods for maintenance program of military aircraft systems based on MSG-3[D]. Tianjin: Civil Aviation University of China, 2016(in Chinese) http://cdmd.cnki.com.cn/Article/CDMD-10059-1016776245.htm [13] 陈一梅, 李少斌, 金彬彬.基于预防性成组维修的人字门船闸大修周期[J].东南大学学报, 2014, 44(2):436-440 http://d.old.wanfangdata.com.cn/Periodical/dndxxb201402037Chen Y M, Li S B, Jin B B. Determination of cycle of mitering lock overhaul based on preventive group maintenance strategy[J]. Journal of Southeast University, 2014, 44(2):436-440(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/dndxxb201402037 [14] Dekker R, Wildeman R, van der Duyn Schouten F A. A review of multi-component maintenance models with economic dependence[J]. Mathematical Methods of Operations Research, 1997, 45(3):411-435 doi: 10.1007/BF01194788 [15] 符杨, 许伟欣, 刘璐洁, 等.基于可及度评估的海上风机机会维修策略[J].中国电力, 2016, 49(8):74-80 doi: 10.3969/j.issn.1007-3361.2016.08.032Fu Y, Xu W X, Liu L J, et al. An opportunistic maintenance strategy for offshore wind turbine based on accessibility evaluation[J]. Electric Power, 2016, 49(8):74-80(in Chinese) doi: 10.3969/j.issn.1007-3361.2016.08.032 [16] Nguyen T A T, Chou S Y. Maintenance strategy selection for improving cost-effectiveness of offshore wind systems[J]. Energy Conversion and Management, 2018, 157:86-95 doi: 10.1016/j.enconman.2017.11.090 [17] 赵洪山, 张健平, 高夺, 等.风电机组的状态-机会维修策略[J].中国电机工程学报, 2015, 35(15):3851-3858 http://d.old.wanfangdata.com.cn/Thesis/D759984Zhao H S, Zhang J P, Gao D, et al. A condition based opportunistic maintenance strategy for wind turbine[J]. Proceedings of the CSEE, 2015, 35(15):3851-3858(in Chinese) http://d.old.wanfangdata.com.cn/Thesis/D759984 [18] 赵洪山, 张健平, 程亮亮, 等.考虑不完全维修的风电机组状态-机会维修策略[J].中国电机工程学报, 2016, 36(3):701-708 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgdjgcxb201603013Zhao H S, Zhang J P, Cheng L L, et al. A condition based opportunistic maintenance strategy for wind turbine under imperfect maintenance[J]. Proceedings of the CSEE, 2016, 36(3):701-708(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgdjgcxb201603013 [19] 郑小霞, 李佳, 贾文慧.考虑不完全维修的风电机组预防性机会维修策略[J].可再生能源, 2017, 35(8):1208-1214 http://d.old.wanfangdata.com.cn/Periodical/ncny201708016Zheng X X, Li J, Jia W H. Preventive opportunistic maintenance strategy of wind turbines considering imperfect maintenance[J]. Renewable Energy Resources, 2017, 35(8):1208-1214(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/ncny201708016 [20] 赵洪山, 鄢盛腾, 张小田.风电机组确定性机会更换维修策略的研究[J].太阳能学报, 2014, 35(4):568-575 doi: 10.3969/j.issn.0254-0096.2014.04.003Zhao H S, Yan S T, Zhang X T. Deterministic opportunistic replacement maintenance strategy for wind turbine[J]. Acta Energiae Solaris Sinica, 2014, 35(4):568-575(in Chinese) doi: 10.3969/j.issn.0254-0096.2014.04.003 [21] 赵洪山, 张路朋.基于可靠度的风电机组预防性机会维修策略[J].中国电机工程学报, 2014, 34(22):3777-3783 http://d.old.wanfangdata.com.cn/Periodical/zgdjgcxb201422024Zhao H S, Zhang L P. Preventive opportunistic maintenance strategy for wind turbines based on reliability[J]. Proceedings of the CSEE, 2014, 34(22):3777-3783(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/zgdjgcxb201422024 [22] 尹浩霖, 王达梦, 马志勇, 等.支持向量回归参数估计在风电机组故障模式分析中的应用[J].机械科学与技, 2018, 37(11):1755-1761 http://d.old.wanfangdata.com.cn/Periodical/jxkxyjs201811019Yin H L, Wang D M, Ma Z Y, et al. Application of support vector regression parameter estimation to fault mode analysis in wind turbines[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(11):1755-1761(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/jxkxyjs201811019 [23] 凌丹.威布尔分布模型及其在机械可靠性中的应用研究[D].成都: 电子科技大学, 2011 http://cdmd.cnki.com.cn/Article/CDMD-10614-1011055260.htmLing D. Research on Weibull distribution and its applications in mechanical reliability engineering[D]. Chengdu: University of Electronic Science and Technology of China, 2011(in Chinese) http://cdmd.cnki.com.cn/Article/CDMD-10614-1011055260.htm