主要用于介绍 配线线路中故障指示器 采集单元的研制，很有指导意义
PMU 线路 2.2.2 PCB 14J 供 (EMI)、 电第2级3V 电管理管|pc PCB 圖令“ Fig3 Structure of inductive power taking module PCB 1 DC/ DC 顶绕 外坏 内环 2.2 回绕顺绕)J 2.2.1 A Al Fig. 4 Design of turns connection MR HCS (2) 1(s)s+R。+R M XX) R R Y-Y PCB A A3 24.0mm, 39.0mm 232 3.0 2.3.1 B [15-16] B [3 A A2 PMU ,△U=V1-V2, PCB △U )/(Cg2+C http://www.aeps-info.com17 21994-2016ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net Cuc Ca c C.+CuaRto H ABC H B A 50cm、 (5) (6) A a6 A AG 0.1% 4 10kV 10 ② 10kV Fig 5 Equivalent measurement circuit of spacial capacitive voltage divider A A7 10kV 30 cm 20c 2.3.2 B PMU C △L ×100% Ud PCB 150cm CPU CPU Table i Tower simulation test resull Its %‖d 1500,21463 C.22192 Comso 0 0.74 C.22906 1100.21543 0.3730.2436013.50 Multiphysics 0.21774 1.4 0.8pF 40 nh CAc, C41 Ca 1 RO ADS8237ARMZ 1.5V d=150 cm CPU R d110 cm R 1%;d<110cm 2.3.3 PMU m [:7] 2.4 0.0241 ×106(6) D Hoho ZigBe H,oH GPRS 18 21994-2016ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net PMU 5kV zig Bee BC (GSM) GPRS Table 3 voltage linearity test results kV V kv 2 kV kv 7 5.10.1075.150.1425.4 3 PMU 10.10.21510.070.0930.20.35530.100.27 15.30.32915.26-0.1234.90.76335.020.35 PMU 20.20,44020.31 0.3 a8 0.35% 10 kV 10A A A9 10A 50A 50A 800A PMU PMU Table 2 coil linearity test results 10 GPRS A % A14 A15。 0.324 AA162016214 100.2133.799.23-0.12501.3655.1501.88.0 20 150.0199.1149.73-0.03550.6716.8549.52-0.13 21400:00 250.332.2248.66-0.21650.5849.6652.080.20 22024:00(22100:00)。 299.739c.2297.31-0.30700.6910.669.18-0.18 51.4462.7353.500.24751.397.5750.850.c6 据150 399.9520599.090.1080.01041.3800.120.01 02-14T00:0002-16T00:0002-18T00:00 02-21T00:00 口期 0,32%, 一A相电流:一-B柞电流;·C相电流 Fig 6 Historical data of three-phase current AA10, 3.2 200A 90A AA11。 5~35kV http://www.aeps-info.com1 21994-2016ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net WANG Bin. SUN Huadong. ZHANG Daonong. Review on data sharing and synchronized phasor measurement techni PCB application in distribution systems[J]. Proceedings of the CSEE 2015, 35( Supplement 1): 1-7. L& VON MEIER A CUlLER D. MCEACHERN A. et al. Micro synchrophascrs for distribution systems C1// 2014 IEEE PES mart Grid Technolo 0,5 February 19-22, 2014. Washington DC, USA: 5p. PMU PMU ,2014,:8(1):62-67.DOI:10.7500 PMU AEPS2C130410001 BI Tianshu, LIU Hao, YANG Qixun Dynamic performance of (http://www.aeps-info d its testi m[J. Automation of Electric Power Svstems,2014,38(1):62-67.DOl:10.7500/ com/aeps/ch/index. aspx AEPS2C130410001 GB1207-2006S 2015,39(12):38-43.DO1:10.7500/ 2010,:4(3):7074. AEPS201408310C6 LIU Yadong, SHENG Gehao, WANG Youjia, et al. Current YANG BO, WEI Luping. ZHAN Zhenbin, et al. Analysis on transf rmer draw-oult power supply design based on power- characteristics of communication delay in wide area controlled method J]. Automation of Electric Power Systems mcesurcment systcm based on probability distribution [J] 2010,34(3):70-74 automation of Electric Power Systems, 2015. 39(12):38-4 [12 ZHANG Gang, LIU Yi. Positional crror analysis of PCB DOI:10.7500/AEP5201483100 Rogowski coil for high accuracy current measurement J] PMI 010,34(21):21-26 [13 DI Z, JIA C, ZHANG J, et al. PCB Rogowski coil fcr BI Tianshu, LIU Hao, wu Jingtac, ct al. Online asscssment electronic current transducer [J]. Sensors &.Transducers 2014,171(5):206-213 measurement under steady state []]. Automation of Electric [14] PCB Power Systems,2010,34(21):21-26 ,2015,36(4):886-894. XIE Xiaolei, LIU Yadong, LIU Zongjie, et al. Design of high LJI ,2015,39(1):73-80.DOI:10.7500/ frequency differential winding PCB Rogowski coil[J_.Chinese AEPs20141038016 Journal of Scientific Instrument, 2015, 36(4):885-894 DUAN GAng. YAN Yaqin, XIE Xiaodong, et al. Developinent [15] LD] sLatus quo and tendency of wide area phasor neasuring 2012 technclogy[J. Automation of Electric Power Systems, 2015 39(1):73-83.DOI:10.7500AEPS20111008016 014, 4] 「D [17] ()[M].3 2014 2002:17-18 PMU ZHOU Jie, DING Xiaohua, SUN Guocheng, et al. Nev E-mail:xiexiaolei0116(a126.com distributed PMU substation systcm[J. Automation of Elcctric (1982—), Power Systems,2009,33(17):105-108 E mail: liuyadong 0916(@ 014,38(22):85-90.DOl:10.7500 163.com AEPS20131190C4 (1979—) ZHANG Hengxu, JIN Zongshuai, LIU Yutian. Wide-area E-mail: lyd@ sjtu. ed measurement system light and its application in China J] Automation of Electric Power Systems, 2014, 38(22):85-90 DOI:10.7500/AEPS20131109004 continued on page 52) 21994-2016ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net fuzzy adaptive variable weight based on fresh degree function (1992 and forecasting availability [J]. Power System Technolcgy 200)9,33(9);103-108. (1990—),, E-mail: liuwenxiao01(a163. com Forecasting Model of Short-term EV Charging Load Based on Data Freshness and Cross Entropy LIU Wenxia, LONG Rishang, XU Xiaobo, ZHANG Jianhua (State Key laboratory of Alternate electrical Power System with Renewa ble Energy Sources North China electric power University, Beijing 102206, China) Ahstract: Shor1-term load forecasting methods for the bus charging shatian are studied prior to proposing a combiner forecasting model based on data freshness and cross entropy. First, the load characteristics are analyzed to show the daily charging load has the features of large fluctuation, periodicity, and being closely related to meteorological conditions (including temperature and rainfall ) Secondly, in the accumulation process of historical prediction errors, the combined forecasting model is improved in the following aspects: (1 Considering the time characteristics and fluctuating characteristics of the charging load samplc data, the selecting mcthod of similar days based on grey relational dcgrcc is proposed @)Considcring the precision and stability of a single method, a com bined forecasting model based on cross entropy and normal distribution probability density function is developed to dynamically adjust the weight coefficients @3 Considering the time effectiveness he data source, the concept of freshness function is put forward, which improves the probability density distribution function of the single forecasting method to further optimize the weight coefficients of the combined forecasting model, improving the accuracy of the model Finally, the training samples and test samples based on the historical data of a beijing bus charging station are developed. Compared with single models and other combined forecasting methods, the validity of the combined forecasting model proposed is proved This work is supported by National Kcy Technologics R& D Program (No. 2013BAA02B02) Key words: electric vehicle (EV); load forecasting: cross entropy; freshness function; data validity; weight optimization continued from page 20) Development of Novel PMt Device for Distribution Network Lines XIE Xiaolei, lIU Yadong, SUN Peng, lUO Lingen, SHENG Gehao, JIANG Xiuchen (1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240. China Yunnan Elcctric Power Rcscarch Institutc, Kunming 650000, China) Ahstract Miniaturization. low cost and easy installation with power on are the dlevelopment directions af phasor measurement unit (PMU )for distribution network lines. A novel distributed Pmu device designed for the wide-area monitoring system of distribution network obtains energy from the line through the high-density inductive power taking module. The device measures current and voltage waveforms by printed circuit board (PCB Rogowski coils and spatial capacitive voltage divider respectively, and achieves voltage and current collection in the whole network by distributed synchronous sampling. The device proposed provides a ncw solution for the developm ent of novel PMU in thc distribution nctwork lincs. At prescnt, prototypes of Pmu have been tested online and the monitored data have been sent back. All modules are found to work normally and stably and measurement results to accurately reflect the line current and voltage This work is supported by National Natural Science Foundation of China (No. 51307109). International S& T Cooperation Projects of China (No. 2013DFG71530)and State Grid Corporation of China (No. SG TYHT/11-JS-188) Key words: distribution network: phasor measurement unit (PMU ) Rogowski coil; spatial capacitive voltage divider nductive power taking; distributed wide-area monitoring 21994-2016ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net