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光伏储能协调控制的信息物理融合建模研究-曾倬颖

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光伏储能协调控制的信息物理融合建模研究-曾倬颖

 37   6   / Œ Vo l . 3 7 N o . 6 2013 M 6 Power System Technology Jun. 2013 cI| 1000-3673 201306-1506-08 ms | TM 721 DS ’ A  S} ’ 4704051 ;™ x e †y  ;–    . { qM e† L i ZŒYv  “  Z g ‰› u 200240  Study on Cyber-Physical System Modeling on Coordinated Control of Photovoltaic Generation and Battery Energy Storage System ZENG Zhuoying, LIU Dong Key Laboratory of Control of Power Transmission and Conversion Department of Electrical Engineering, Shanghai Jiao Tong University, Ministry of Education, Minhang District, Shanghai 200240, China ABSTRACT Cyber-physical System CPS closely integrates physical, communication and cyber systems, and the integration of CPS with power system is regarded as the technical basis of developing smart power network. Starting from ensuring the one to one correspondence between physical model and information model, the approach of establishing single cyber-physical CP model and the integration method of multi CP models are discussed. Based on the scenes of photovoltaic PV generation and battery energy storage BES system, their CP models are established respectively, and on this basis the method to integrate the two CP models into a coordinated CP control model for PV and BES system is put into practice. Using a simulation tool, in which the dynamic link library DLL is utilized as the bridge between the simulation of cyber and physical platforms, the established CP model for PV generation and the coordinated CP control model for PV generation and BES system are simulated. Simulation results show that the CP model is effective in optimization control and the method is feasible for CPS modeling. KEY WORDS cyber-physical system; simulation; CP modeling; cyber-physical energy system K1  †“d cyber-physical system CPS †  aY„ Ž  “d†  Z / ŒbcV ’  a ˜B B‹ y †a“  † cyber-physical CP ˜ZEb;™a  sYy   CP ˜iN  ;x e“ CP ˜bYV  o B a ˜ _‡  y ;™ CP ˜[;™ x e  CP ˜› _‡_‡T   †y  [ “ SE/ ŒZ9 863 9 [ “ 2012AA050803b The National High Technology Research and Development of China 863 Program2012AA050803. ZErŸ[ CP ˜ e‹ rŸb 1oM  †“d _‡  †y    †“d 0 „  †“d cyber-physical systemCPS   “d sY Ža9  ŽS e] H 3 € †ax eœ†“d [1] b P  L8 . YVY Ž „“ LC Ž a  Z7 LC1b D [2-4]   CPS Qa[ Z “GbD [5-6]„  CPSy  ZEbD [7-8]Z   †“d cyber-physical energy system CPES›  Zb CPS a‹v sƒ T9  4“dŸa 2Ÿ [9]  CPS  Z / Œb  “d ˜  ˜ common information model CIM [10] b ˜V ˜“d“Ÿ [11]  V  H Y YV MQ˜“›Qb “d  ˜   †Ÿ H Q˜ † VbV7„5C ˜ „ ˜ 2 M‰ “d› V˜b  h“‰ Pm  †ž V e LC † dB e 1ob[;™ x e  ;™ ;va bD [11-12]4 e ZE V P;™  † { S  37   6   / Œ 1507 ŒN“dG B I n HW a   7 e“db  ŸZ t ] [13] 1 p  †“d   y   † cyber-physical CP ˜[ pœ8K ebV LC a ˜BB‹ y †a“  CP ˜ZE [14] b;™a   sYy   CP ˜iN  ;x e CP ˜bYV  o B  a_‡ qy_‡  y ; ™ CP ˜[;x e CP ˜› _‡ T  CP ˜ e rŸb 1 CPS“dy  1.1 †  †  vy uY.d} ”ZF„sZZ T   v CPSy 1 I nY Ž„F†s  3•Yb CPS98 O  aaY 3 Fnm 1b CPS “d CP  v[Y Žbm 2  B CPS U [15] b     L8 .  Y Ž   m 1 CPS aaY 3 Fig. 1 Three layers of cyber-physical system LC Y Ž MC  e CP  v N CP  v 2 LC LC MC DC/AC MC LC DC/ AC PV   Ž     e MC  “d  “d MC LC CP  v 1 Cyber Physical  CyberFq MC e  LC  e   MC LC m 2  CP ˜ Fig. 2 The CP model of micro-grid D [5]4  CPS “dy   1 |“ds CP  v† CP  v †› “da“dsb bV˜  a  { a { † Ÿ .  b 2Xy  CP  v›œ†[y ›œ CPS ˜b sYy  P ˜a C ˜  ž €MT•v€ ”Z C ˜ L CV P ˜  B• ” C ˜sž ‹ ‹Ÿ  P ˜ PV C ˜ P  B ‹Ÿ P ˜sž‹M bQ ›1ž LC C„ PBB‹ › a ˜ †1o„b  e pBB‹ C ˜„ P ˜  y  CP ˜byy C ˜ P  ˜XrBB‹ [Fq { {[ †M  V[ ’‹ž P ˜a C ˜b e 1 ž  V iFq † N H    V/ a’sFq P 1 sFq { {b ƒ“B Ÿ CP ˜Fq { {[  ˜ n { a  {  ‹Ÿ V ˜ |i ebFq † V9ž  a ’ ƒ; P ˜  b 9 CP ˜ †_‡4 Lb 1.2   †  vœ† Xy  CP  v›œ†ZEnm 3b  CP  v C  va P  vCb  P  v   vv  V“v P  vo P_œ†pb M1  C  vy  ” v CIM 4dBS ‚ s‹  “d CPœ† Cœ† Pœ† †  †   v  v P ˜P ˜ C ˜ C ˜   †        CP1 CP2 m 3  CP ˜œ†ZE Fig. 3 Integrating method of multiple CP models 1508 ;–;™ x e †y  Vo l . 3 7 N o . 6  ‹ V[›Œ„ TyN  C  v ATB † ž ’› † g V“ C  vo C_œ†pb| 4 CaP ˜M•v1ZEo C_œ †paoP_œ†p  VFyo CP_“p  vb o CP_“p  v_ “œ†K V[ LCœ CPS ˜y b 2 ;™a  CP ˜ 2.1 ;™ CP ˜ v† CP ˜y ZEsYs;™ P ˜ C ˜  LC ˜WBB‹ 1“ž ;™ CP ˜b ;™r ˜nm 4 [16] „ T 1b ID S ;v  ˜ Ž ” ;™“d ˜8  [J]/ Œ 2011 358 47-52 Liu DongranChen ShuyongMa Minet alA review on models for photovoltaic generation system[J] Power System Technology 2011 358 47-52in Chinese [19] ZEž v– 5 “d   ˜ ”Z [J] “d1 2012 366 45-51 LIU Haixuan Wu Fubao Dong Daxing et al Extended common information model for microgrid energy management system[J] Automation of Electric Power Systems 2012 366 45-51in Chinese [20] Salameh Z M Casacca Margaret A Lynch William A et al A mathematical model for lead-acid batteries[J] IEEE Transactions on Energy Conversion 1992 71 93-98 [21] Chiasson J Estimating the state of charge of a battery[C]//American Control Conference Denver Colorado USA American Institute of Aeronautics and Astronautics – 1988 o V 31Z _ †“d E-mail zengzysjtu.edu.cn  1968 3YT€p V p V 3 † W Œ1Z _ a †“da1 ;– a 1 E-mail liudongieee.orgb  3 I ‹

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