上海交通大学学报(自然版) ›› 2018, Vol. 52 ›› Issue (10): 1195-1205.doi: 10.16183/j.cnki.jsjtu.2018.10.007
严正1,孔祥瑞1,徐潇源1,谢伟2
作者简介:
严正(1964-),男,江西省上犹县人,教授,研究方向为电力系统优化运行、电力系统稳定性分析及电力市场. 电话(Tel.):021-34204603;E-mail: yanz@sjtu.edu.cn.
基金资助:
YAN Zheng,KONG Xiangrui,XU Xiaoyuan,XIE Wei
摘要: 由于能源和环境的双重约束,我国将在分布式电源、电动汽车充换电设施和需求响应资源方面大力发展.首先,阐述智能配电网将呈现新的形态:间歇性和不确定性的分布式发电不断增多;配电网的运行方式多变,电力电子化明显;负荷呈现出多元化和互动性,常规的配电网量测装置与状态估计方法难以对动态特性进行准确刻画.其次,论述同步相量测量单元(PMU)功能及其在配电网状态估计中应用的必要性,并系统梳理微型同步相量测量单元和配电网状态估计技术的国内外研究现状.最后,对PMU量测特性对智能配电网状态估计性能的提升进行全面评述,针对具体关键技术提出了未来研究方向.
中图分类号:
严正1,孔祥瑞1,徐潇源1,谢伟2. 微型同步相量测量单元在智能配电网运行状态估计中的应用[J]. 上海交通大学学报(自然版), 2018, 52(10): 1195-1205.
YAN Zheng,KONG Xiangrui,XU Xiaoyuan,XIE Wei. Applications of Micro Synchronous Phasor Measurement Units in State Estimation of Smart Distribution Network[J]. Journal of Shanghai Jiaotong University, 2018, 52(10): 1195-1205.
[1]王成山, 李鹏. 分布式发电、微网与智能配电网的发展与挑战[J]. 电力系统自动化, 2010, 34(2): 10-14. WANG Chengshan, LI Peng. Development and challenges of distributed generation, the micro-grid and smart distribution system[J]. Automation of Electric Power Systems, 2010, 34(2): 10-14. [2]王志群, 朱守真, 周双喜, 等. 分布式发电对配电网电压分布的影响[J]. 电力系统自动化, 2004, 28(16): 56-60. WANG Zhiqun, ZHU Shouzhen, ZHOU Shuangxi, et al. Impacts of distributed generation on distribution system voltage profile[J]. Automation of Electric Power Systems, 2004, 28(16): 56-60. [3]刘伟, 彭冬, 卜广全, 等. 光伏发电接入智能配电网后的系统问题综述[J]. 电网技术, 2009, 33(19): 1-6. LIU Wei, PENG Dong, BU Guangquan, et al. A survey on system problems in smart distribution network with grid-connected photovoltaic generation[J]. Power Systems Technology, 2009, 33(19): 1-6. [4]范明天, 张祖平. 中国配电网发展战略相关问题研究[M]. 北京: 中国电力出版社, 2008: 1-187. FAN Mingtian, ZHANG Zuping. Research on the development strategy of China’s distribution network [M]. Beijing: Electric Power Press of China, 2008: 1-187. [5]宋云亭, 张东霞, 吴俊玲, 等. 国内外城市配电网供电可靠性对比分析[J]. 电网技术, 2008, 32(23): 13-18. SONG Yunting, ZHANG Dongxia, WU Junling, et al. Comparison and analysis on power supply reliability of urban power distribution network at home and abroad [J]. Power Systems Technology, 2008, 32(23): 13-18. [6]刘琪. 国家电网“十二五”电网智能化投资分析(2011—2015)[J]. 中国信息化, 2011, 6: 24-25. LIU Qi. Investment analysis of the state grid intelligentization in the 12th five-year plan (2011—2015)[J]. Informatization of China, 2011, 6: 24-25. [7]王宾, 孙华东, 张道农. 配电网信息共享与同步相量测量应用技术评述[J]. 中国电机工程学报, 2015, 35(S1): 1-7. WANG Bin, SUN Huadong, ZHANG Daonong. Review on data sharing and synchronized phasor measurement technique with application in distribution systems[J]. Proceedings of the Chinese Society for Electrical Engineering, 2015, 35(S1): 1-7. [8]LIU Y L. A US-wide power systems frequency monitoring network[C]∥2006 IEEE PES Power Systems Conference and Exposition. Atlanta: IEEE, 2006: 159-166. [9]LIN Z Z, LIU Y, JIA Y, et al. Dynamic performance test of single-phase phasor measurement units[C]∥2011 IEEE Power and Energy Society General Meeting. San Diego: IEEE, 2011: 1-7. [10]MEIER A V, CULLER D, MCEACHERN A, et al. Micro-synchrophasors for distribution systems[C]∥2014 IEEE PES Inovative Smart Grid Technologies Conference (ISGT). Washington: IEEE, 2014: 1-5. [11]张恒旭, 靳宗帅, 刘玉田. 轻型广域测量系统及其在中国的应用[J]. 电力系统自动化, 2014, 38(22): 85-90. ZHANG Hengxu, JIN Zongshuai, LIU Yutian. Wide-area measurement system light and its application in China [J]. Automation of Electric Power Systems, 2014, 38(22): 85-90. [12]SCHWEPPE F C, WILDES J, ROM D B. Power system static-state estimation[J]. IEEE Transactions on Power Apparatus and Systems, 1970, PAS-89(1): 120-135. [13]ABUR A, EXPOSITO A G. Power system state estimation: Theory and implementation[M]. Boca Raton: CRC Press, 2004: 213-256. [14]DZAFIC I, JABR R A, HUSEINAGIC I, et al. Multi-phase state estimation featuring industrial-grade distribution network models[J]. IEEE Transactions on Smart Grid, 2017, 8(2): 609-618. [15]DELLA G D, PAU M, PEGORARO P, et al. Electrical distribution system state estimation: Measurement issues and challenges[J]. IEEE Instrumentation & Measurement Magazine, 2014, 17(17): 36-42. [16]BARAN M E, KELLEY A W. A branch-current-based state estimation method for distribution systems[J]. IEEE Transactions on Power Systems, 1995, 10(1): 483-491. [17]LIN W M, TENG J H, CHEN S J. A highly efficient algorithm in treating current measurements for the branch-current-based distribution state estimation[J]. IEEE Transactions on Power Delivery, 2001, 16(3): 433-439. [18]WANG H, SCHULZ N N. A revised branch current-based distribution system state estimation algorithm and meter placement impact[J]. IEEE Transactions on Power Systems, 2004, 19(1): 207-213. [19]LU C N, TENG J H, LIU W H E. Distribution system state estimation[J]. IEEE Transactions on Power Systems, 1995, 10(1): 229-240. [20]UATRONGJIT S. On robust state estimation for power system with uncertain network parameters[C]∥2014 International Electrical Engineering Congress (iEECON). Chonburi, Thailand: IEEE, 2014. DOI: 10.1109/iEECON.2014.6925971. [21]GHOSH A K, LUBKEMAN D L, DOWNEY M J, et al. Distribution circuit state estimation using a probabilistic approach[J]. IEEE Transactions on Power Systems, 1997, 12(1): 45-51. [22]SINGH R, PAL B C, JABR R A. Distribution system state estimation through Gaussian mixture model of the load as pseudo-measurement[J]. IET Generation Transmission & Distribution, 2010, 4(1): 50-59. [23]MUSCAS C, PAU M, PEGORARO P A, et al. Effects of measurements and pseudomeasurements correlation in distribution system state estimation[J]. IEEE Transactions on Instrumentation & Measurement, 2014, 63(12): 2813-2823. [24]HAUGHTON D A, HEYDT G T. A linear state estimation formulation for smart distribution systems[J]. IEEE Transactions on Power Systems, 2013, 28(2): 1187-1195. [25]JESUS P M De O, QUINTANA A A R. Distribution system state estimation model using a reduced quasi-symmetric impedance matrix[J]. IEEE Transactions on Power Systems, 2014, 30(6): 2856-2866. [26]NUSRAT N, LUSRAT P, IRVING M R, et al. An overlapping zone-based state estimation method for distribution systems[J]. IEEE Transactions on Smart Grid, 2015, 6(4): 2126-2133. [27]NORDMAN M M, LEHTONEN M. Distributed agent-based state estimation for electrical distribution networks[J]. IEEE Transactions on Power Systems, 2005, 20(2): 652-658. [28]GOMEZ-QUILES C, GOMEZ-EXPOSITO A, JAEN A de la V. State estimation for smart distribution substations[J]. IEEE Transactions on Smart Grid, 2012, 3(2): 986-995. [29]NAKA S, GENJI T, YURA T, et al. A hybrid particle swarm optimization for distribution state estimation[C]∥2003 IEEE Power Engineering Society General Meeting. Toronto, Canada: IEEE, 2003. DOI: 10.1109/PES.2003.1270374. [30]ABUR A. Impact of phasor measurements on state estimation[C]∥International Conference on Electrical and Electronics Engineering. Bursa, Turkey: IEEE, 2009. DOI: 10.1109/ELECO.2009.5355207. [31]PHADKE A G, THORP J S. Synchronized phasor measurements and their applications[J]. Science of the Total Environment, 2008, 37(1): 121-128. [32]ALIMARDANI A, THERRIEN F, ATANACKOVIC D, et al. Distribution system state estimation based on nonsynchronized smart meters[J]. IEEE Transactions on Smart Grid, 2015, 6(6): 2919-2928. [33]GOMEZ-EXPOSITO A, GOMEZ-QUILES C, DZAFIC I. State estimation in two time scales for smart distribution systems[J]. IEEE Transactions on Smart Grid, 2015, 6(1): 421-430. [34]于尔铿.电力系统状态估计[M].北京: 水利电力出版社, 1985. YU Erkeng. Power system state estimation[M]. Beijing: China Water & Power Press. 1985. [35]顾锦汶. 正交变换法电力系统状态估计算法的研究[J]. 浙江大学学报(工学版), 1986, 2: 29-34. GU Jinwen. An orthogonal processing algorithm for power system state estimation[J]. Journal of Zhejiang University (Engineering Edition), 1986, 2: 29-34. [36]相年德, 王世缨, 于尔铿. 电力系统状态估计中的不良数据估计识别法. 第一部分: 理论和方法 [J]. 清华大学学报(自然科学版), 1979, 19(4): 1-19. XIANG Niande, WANG Shiying, YU Erkeng. The estimation-identification approach of bad data in power system state estimation. Part Ⅰ: Basic principles and solving method[J]. Journal of Tsinghua University (Natural Science Edition), 1979, 19(4): 1-19. [37]于尔铿, 相年德, 王世缨. 电力系统状态估计中的不良数据估计识别法. 第二部分: 检测系统 [J]. 清华大学学报(自然科学版), 1980, 20(1): 1-15. YU Erkeng, XIANG Niande, WANG Shiying. The estimation-identification approach of bad data in power system state estimation. Part Ⅱ: Detective system[J]. Journal of Tsinghua University (Natural Science Edition), 1980, 20(1): 1-15. [38]刘浩, 侯博渊. 保留非线性的快速 P-Q 分解状态估计法[J]. 电力系统自动化, 1995, 19(1): 26-30. LIU Hao, HOU Boyuan. State estimation method using fast decoupled p-q retaining nonlinearity[J]. Automation of Electric Power Systems, 1995, 19(1): 26-30. [39]刘广一, 于尔铿. 量测偏差的检测与辨识[J]. 中国电机工程学报, 1991, 11(3): 1-7. LIU Guangyi, YU Erkeng. Detection and identification of measurement biases[J]. Proceedings of the Chinese Society for Electrical Engineering, 1991, 11(3): 1-7. [40]周江文, 黄幼才, 杨元喜, 等. 抗差最小二乘法[M]. 武汉: 华中理工大学出版社, 1997. ZHOU Jiangwen, HUANG Youcai, YANG Yuanxi, et al. Robustified least squares method[M]. Wuhan: Huazhong University of Science and Technology Press, 1997. [41]李碧君, 薛禹胜. 基于权函数的电力系统状态估计算法[J]. 电力系统自动化, 1999, 23(8): 32-34. LI Bijun, XUE Yusheng. Weight function based power system state estimation algorithm[J]. Automation of Electric Power Systems, 1999, 23(8): 32-34. [42]余贻鑫, 陈德生. 一种优越的电力系统状态估计方法: Hachtel 方法及其实现[J]. 电力系统自动化, 1993, 17(5): 7-11. YU Yixin, CHEN Desheng. A superior electric power system state estimation method: Hachtel method and its implementation[J]. Automation of Electric Power Systems, 1993, 17(5): 7-11. [43]张兴民, 毛玉华. 利用图论方法进行多不良数据检测与辨识[J]. 中国电机工程学报, 1997, 17(1): 69-72. ZHANG Xingmin, MAO Yuhua. Detection and identification of multi-bad data using graph theory[J]. Proceedings of the Chinese Society for Electrical Engineering, 1997, 17(1): 69-72. [44]孙宏斌, 张伯明. 基于支路功率的配电状态估计方法[J]. 电力系统自动化, 1998, 22(8): 12-16. SUN Hongbin, ZHANG Boming. A branch-power-based state estimation method for distribution systems[J]. Automation of Electric Power Systems, 1998, 22(8): 12-16. [45]卫志农, 顾杵, 鞠平, 等. 三相辐射配网状态估计方法[J]. 中国电机工程学报, 2000, 20(3): 84-87. WEI Zhinong, GU Chu, JU Ping. A three-phase radial distribution system state estimation algorithm[J]. Proceedings of the Chinese Society for Electrical Engineering, 2000, 20(3): 84-87. [46]周苏荃, 柳焯. 新息图法拓扑错误辨识[J]. 电力系统自动化, 2000, 24(4): 23-27. ZHOU Suquan, LIU Zhuo. An innovation graph approach to topology error identification [J]. Automation of Electric Power Systems, 2000, 24(4): 23-27. [47]周苏荃, 柳焯. 新息图法识别多重网络结构动态变化[J]. 中国电机工程学报, 2001, 21(10): 67-72. ZHOU Suquan, LIU Zhuo. Identification of multiple dynamic network structure changes by the innovation graph approach[J]. Proceedings of the Chinese Society for Electrical Engineering, 2001, 21(10): 67-72. [48]周苏荃, 李昌, 柳焯. 加权新息图法识别小潮流支路拓扑错误[J]. 电力系统自动化, 2001, 25(5): 006. ZHOU Suquan, LI Chang, LIU Zhuo. A weighted innovation graph approach for identifying topology errors on branches with small load flow[J]. Automation of Electric Power Systems, 2001, 25(5): 006. [49]王力哲, 王心丰. 电力系统中厂站/全网双层状态估计[J]. 电网技术, 2001, 25(2): 6-9. WANG Lizhe, WANG Xinfeng. Hierarchical state estimation of plants/whole network for power systems[J]. Power System Technology, 2001, 25(2): 6-9. [50]董朝霞, 杨峰. 基于模糊聚类分析的分层估计算法在 DTS 中的应用[J]. 电力系统自动化, 2004, 28(12): 78-81. DONG Zhaoxia, YANG Feng. Hierarchy state estimation based on fuzzy clustering analysis in dispatcher training simulator[J]. Automation of Electric Power Systems, 2004, 28(12): 78-81. [51]何光宇, 董树锋. 基于测量不确定度的电力系统状态估计 (一) 结果评价[J]. 电力系统自动化, 2009, 33(19): 21-24. HE Guangyu, DONG Shufeng. Power system static-state estimation based on uncertainty of measurement (part one): Result evaluation[J]. Automation of Electric Power Systems, 2009, 33(19): 21-24. [52]何光宇, 董树锋. 基于测量不确定度的电力系统状态估计 (二) 方法研究[J]. 电力系统自动化, 2009, 33(20): 32-36. HE Guangyu, DONG Shufeng. Power system static-state estimation based on uncertainty of measurement (part two): A new method[J]. Automation of Electric Power Systems, 2009, 33(20): 32-36. [53]何光宇, 董树锋. 基于测量不确定度的电力系统状态估计 (三) 算法比较[J]. 电力系统自动化, 2009, 33(21): 28-31. HE Guangyu, DONG Shufeng. Power system static-state estimation based on uncertainty of measurement (part three): Algorithms compared[J]. Automation of Electric Power Systems, 2009, 33(21): 28-31. [54]王雅婷, 何光宇, 董树锋. 基于测量不确定度的配电网状态估计新方法[J]. 电力系统自动化, 2010, 34(7): 40-44. WANG Yating, HE Guangyu, DONG Shufeng. Novel method for distribution state estimation based on uncertainty of measurement[J]. Automation of Electric Power Systems, 2010, 34(7): 40-44. [55]王克英, 穆钢, 陈学允. 计及 PMU 的状态估计精度分析及配置研究[J]. 中国电机工程学报, 2001, 21(8): 29-33. WANG Keying, MU Gang, CHEN Xueyun. Precision improvement and PMU placement studies on state estimation of a hybrid measurement system with PMUs[J]. Proceedings of the Chinese Society for Electrical Engineering, 2001, 21(8): 29-33. [56]赵红嘎, 薛禹胜, 汪德星, 等. 计及 PMU 支路电流相量的状态估计模型[J]. 电力系统自动化, 2004, 28(17): 37-40. ZHAO Hongga, XUE Yusheng, WANG Dexing, et al. State estimation model with PMU current phasor measurements[J]. Automation of Electric Power Systems, 2004, 28(17): 37-40 [57]赵俊博, 张葛祥, 黄彦全. 含新能源电力系统状态估计研究现状和展望[J]. 电力自动化设备, 2014, 34(5): 7-20. ZHAO Junbo, ZHANG Gexiang, HUANG Yanquan. Status and prospect of state estimation for power system containing renewable energy[J]. Electric Power Automation Equipment, 2014, 34(5): 7-20. [58]郭烨, 张伯明, 吴文传, 等. 直角坐标下含零注入约束的电力系统状态估计修正牛顿法[J]. 中国电机工程学报, 2012, 32(19): 96-100. GUO Ye, ZHANG Boming, WU Wenchuan, et al. Power system state estimation solution with zero injection constraints using modified Newton method[J]. Proceedings of the Chinese Society for Electrical Engineering, 2012, 32(19): 96-100 [59]张彦涛, 秦晓辉, 周勤勇, 等. 基于交直流解耦的超大规模交直流混合电网潮流计算可行解获取方法的研究[J]. 中国电机工程学报, 2015, 35(24): 6275-6282. ZHANG Yantao, QIN Xiaohui, ZHOU Qinyong, et al. Study on the acquisition method of the feasible solution for power flow calculation of large-scale power grids based on AC/DC decoupling[J]. Proceedings of the Chinese Society for Electrical Engineering, 2015, 35(24): 6275-6282. [60]卫志农, 陈胜, 孙国强, 等. 含多类型分布式电源的主动配电网分布式三相状态估计[J]. 电力系统自动化, 2015, 39(9): 68-74. WEI Zhinong, CHEN Sheng, SUN Guoqiang, et al. Distributed three-phase state estimation for active distribution network integrated with different types of distributed generators [J]. Automation of Electric Power Systems, 2015, 39(9): 68-74. [61]赵俊华, 梁高琪, 文福拴, 等. 乌克兰事件的启示: 防范针对电网的虚假数据注入攻击[J]. 电力系统自动化, 2016, 40(7): 149-151. ZHAO Junhua, LIANG Gaoqi, WEN Fushuan, et al. Lessons learnt from Ukrainian blackout: Protecting power grids against false data injection attacks[J]. Automation of Electric Power Systems, 2016, 40(7): 149-151. [62]董今妮, 孙宏斌, 郭庆来, 等. 热电联合网络状态估计[J]. 电网技术, 2016, 40(6): 1635-1641. DONG Jinni, SUN Hongbin, GUO Qinglai, et al. State estimation for combined electricity and heat networks[J]. Power System Technology, 2016, 40(6): 1635-1641. [63]LIU J, TANG J, PONCI F, et al. Trade-offs in PMU deployment for state estimation in active distribution grids[J]. IEEE Transactions on Smart Grid, 2012, 3(2): 915-924. [64]POWALKO M, RUDION K, KOMARNICKI P, et al. Observability of the distribution system[C]∥The 20th International Conference and Exhibition on Electricity Distribution. Prague, Czech Republic: IET, 2009. DOI: 10.1049/cp.2009.1049. [65]李从善, 刘天琪, 李兴源, 等. 用于电力系统状态估计的WAMS/SCADA混合量测数据融合方法[J]. 高电压技术, 2013, 39(11): 2686-2691. LI Congshan, LIU Tianqi, LI Xingyuan, et al. Data fusion method of WAMS/SCADA hybrid measurements in power system state estimation[J]. High Voltage Engineering, 2013, 39(11): 2686-2691. [66]和敬涵, 刘琳. 解耦变换模式下智能配电网快速状态估计算法[J]. 中国电机工程学报, 2017, 37(4): 1088-1095. HE Jinghan, LIU Lin. A fast state estimation algorithm for intelligent distribution network based on decoupling transformation [J]. Proceedings of the Chinese Society for Electrical Engineering, 2017, 37(4): 1088-1095. [67]ZHAO J, MILI L. A framework for robust hybrid state estimation with unknown measurement noise statistics[J]. IEEE Transactions on Industrial Informatics, 2018, 14(5): 1866-1875. [68]王少芳, 刘广一, 黄仁乐, 等. 多采样周期混合量测环境下的主动配电网状态估计方法[J]. 电力系统自动化, 2016, 40(19): 30-36. WANG Shaofang, LIU Guangyi, HUANG Renle, et al. State estimation method for active distribution networks under environment of hybrid measurements with multiple sampling periods[J]. Automation of Electric Power Systems, 2016, 40(19): 30-36. [69]杨争林, 唐国庆, 宋燕敏, 等. 改进的基于聚类分析的超短期负荷预测方法[J].电力系统自动化, 2005, 29(24): 83-87. YANG Zhenglin, TANG Guoqing, SONG Yanmin, et al. Improved cluster analysis based ultra-short term load forecasting method[J]. Automation of Electric Power Systems, 2005, 29(24): 83-87. [70]ZHAO J, ZHANG G, DONG Z Y, et al. Robust forecasting aided power system state estimation considering state correlations[J]. IEEE Transactions on Smart Grid, 2016, 9(4): 2658-2666. [71]卢锦玲, 李伟光, 孙辰军. 基于Forney式因子图的主动配电网状态估计[J].电力系统自动化, 2018, 42(6): 40-46. LU Jinling, LI Weiguang, SUN Chenjun. State estimation of active distribution network based on forney-type factor graph[J]. Automation of Electric Power Systems, 2018, 42(6): 40-46. [72]SARRI S, ZANNI L, POPOVIC M, et al. Performance assessment of linear state estimators using synchrophasor measurements[J]. IEEE Transactions on Instrumentation & Measurement, 2016, 65(3): 535-548. [73]OLIVEIRA B C D, PEREIRA J L R, ALVES G D O, et al. Decentralized three-phase distribution system static state estimation based on phasor measurement units[J]. Electric Power Systems Research, 2018, 160: 327-336. [74]CARTA A, LOCCI N, MUSCAS C. A PMU for the measurement of synchronized harmonic phasors in three-phase distribution networks[C]∥Instrumentation and Measurement Technology Conference Proceedings. Victoria, Canada: IEEE, 2008. DOI: 10.1109/IMTC.2008.4547073. [75]AREFI A, HAGHIFAM M R, FATHI S H. Distribution harmonic state estimation based on a modified PSO considering parameters uncertainty[C]∥2011 IEEE Trondheim PowerTech. Trondheim, Norway: IEEE, 2011. DOI: 10.1109/PTC.2011.6019326. [76]李钦, 项凤雏, 颜伟, 等. 基于SCADA及PMU多时段量测信息的独立线路参数估计方法[J]. 电网技术, 2011, 35(2): 105-109. LI Qin, XIANG Fengchu, YAN Wei, et al. An approach to estimate parameters of single transmission line based on multi-interval information measured by SCADA, monitoring system and phasor measurement units [J]. Power System Technology, 2011, 35(2): 105-109. [77]王先培, 田猛, 董政呈, 等. 输电网虚假数据攻击研究综述[J]. 电网技术, 2016, 40(11): 3406-3414. WANG Xianpei, TIAN Meng, DONG Zhengcheng, et al. Survey of false data injection attacks in power transmission systems[J]. Power System Technology, 2016, 40(11): 3406-3414. [78]BOBBA R B, ROGERS K M, WANG Q, et al. Detecting false data injection attacks on DC state estimation[C]∥First Workshop on Secure Control Systems (SCS’10). Stockholm, Sweden: TROSC, 2010: 1-9. [79]KIM T T, POOR H V. Strategic protection against data injection attacks on power grids[J]. IEEE Transactions on Smart Grid, 2011, 2(2): 326-333. |
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