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» 37  » 6 ù È © / Œ Vo l . 3 7 N o . 6 2013 M 6 Power System Technology Jun. 2013 ÓcI| 1000-3673 201306-1506-08 Ïms Ë| TM 721 ÓDS½ ’ A Ð S} ’ 470·4051 ;™ xØ eÅ¥þ Ø µ†y ùî ;Ò– ê  È ï. {Ðÿ qMÐ eŝâ†Ä L i ZŒYvÐ È ýñ“  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 þ Ø µ†“d cyber-physical system CPSÅ á µ † þ ØaY„© Ž ÐÈ ï“d¥²† ª¹ ZÆ È©¥/ ŒbÓcV ’ þ Øa ˜¥B B‹ y ë†ña“îñþ ؐ µ† cyber-physical CP ˜¥ZEb;™a Èý¥Æß sYy ë   CP ˜iN ùî ;xØ eÅ¥“î CP ˜bYVî ÿ ý¤ o B¤þ Øa ˜ ¥_‡ý  îy ë¥;™ CP ˜[;™ xØ e Å CP ˜É› _‡_‡²T£ þ ؐ µ†y  Á[ “ SEÚ/ ŒùîZ9à 863 9à [ “ 2012AA050803b The National High Technology Research and Development of China 863 Program2012AA050803. ZE¥µrŸ[ CP ˜ªÄ eÅ‹¨ ¥µrŸb 1oM þ Ø µ†“d _‡ þ Ø µ†y  È ïþ Ø µ†“d 0 „ý þ Ø µ†“d cyber-physical systemCPS ·¥ þ Ø“d sY© Ža9 Ø© ŽS e¥] H 3 €Å á µ†axØ eÅ¥œ†“d [1] b ñ P Äñþ Ø L8û .Ëÿ YVY© Žø îË©„“¥ LC© Žº õa î ZÉ7 LCÚ1îÄb ÓD [2-4]º   CPS¥À QaÄ[ Z î ë “¥GbÓD [5-6]„  CPSy ¥ ZEbÓD [7-8]ZÈ ïþ ؐ µ†“d cyber-physical energy system CPES¥ùîÉ›  Z¬bô CPS a‹¿v sƒ T9 صù¿ 4Ú“dçŸa 2Ÿ¥Ä [9] È ï CPS ª ¹ ZÆ È©¥/ Œb È ï“d¥ ˜¹  ˜ common information model CIM [10] b ˜V ˜“d“Ÿ [11]  î í ¥Vñ òñ H Y YV ÿMÄQ˜“³›Q½bÈ ï“d ¥þ Ø ˜ í   †îŸ H Q˜ †¥þ ØVñbV7„Ù5Cµ¥ ˜ „þ Ø ˜ 2 ñºMª ë “dÉ› V˜b  h“ï‰ P÷µm¥  Æ µ†žþ ØVñ¥Ø e LC † dBªÄ e Å¥1ob[±©Ï;™ ¥xØ eŹ è ;™ ï®;vaÑ çbÓD [11-12]4¥ e ÅZE V P;™ ¥ ó† {çç S » 37  » 6 ù È © / Œ 1507 ¶ŒN“dGø Bñà I n HWüþ ¸ §a  ç©¥ 7Ìüþ eÅ“db à ŸÈ©Z¥ t ] [13] 1 p  µ†“d ¥þ ؐ y ëþ ؐ µ† cyber-physical CP ˜[Ù pœ8¥Kª eÅb ÓV LCþ Øa ˜BB‹ y ë†ña“ îñ CP ˜¥ZE [14] b;™a Èý¥Æ ß sYy ë   CP ˜iN ùî ;xØ eÅ¥ CP ˜bYVî ÿ ý¤ o B¤ þ Øa_‡ý qy_‡ Ü û îy ë¥; ™ CP ˜[;xØ eÅ CP ˜É› _‡ ²T£  CP ˜ªÄ eÅ ¥µrŸb 1 CPS“dy  1.1 †ñþ ؐ µ†  v¥y ë uY¿.d¨} ”ZñF„±sZñ¥Z T í òñ  v CPS¥y ³1÷¹ I nY© Ž„Fî†s îÁ 3¥•Yb CPS¥98 O ²®þ ØaaY 3 ª²Fînm 1b CPS “d®¸ CP  v[Y© Žîbm 2 ó Bñ±© CPS²¥ U è [15] b ª þ ت þ Ø L8 .Ë  Y© Ž Áî  m 1 CPSþ ØaaY 3ª² Fig. 1 Three layers of cyber-physical system LC Y© Ž MC ±© eŠϏCP  v N CP  v 2 LC LC MC DC/AC MC LC DC/ AC PV þ Ø© Ž ®â§ Ú⧠ȩ ±© eÅϏ MC È “d þ Ø“d MC LC CP  v 1 Cyberº õ Physicalþ غ õ CyberFq MC±© eÅ  LC  ¹ eÅ   MC LC m 2 ±©¥ CP ˜ Fig. 2 The CP model of micro-grid ÓD [5]4  CPS “d¥ y  ±  1¿ÿ |“dsîç¥ CP  v†ñ CP  v †É›þ Ø“da“dsb bV˜ Ïþ Ø a ¥ { Æa { †î ÿŸ  ¹.Ë  ¹Áî b 2Xy ë¥òñ CP  vÉ›œ†[y 뛜¥ CPS ˜b sYy ëþ Ø P ˜a C ˜¥  ž €ºMT¹•vþ€ ”Z C ˜ L CV P ˜ Ï ÄBñ• ” C ˜Ïsž ‹¥ ‹Ÿ ÆÄ P ˜ P¤V C ˜ P Ï ÄBñ ‹Ÿ P ˜Ïsž‹¥M bQ ¯É›1©ž LC C„ P¥BB‹ ›îþ Øa ˜ µ†¥ 1o„çb ô eų pBB‹¥ C ˜„ P ˜  y ë¥ CP ˜by¹yî¥ C ˜Ð P  ˜XrîBB‹ î[òFq¥ { Æ {[ †M û V[ ü ’‹ž P ˜a C ˜b e ÅϏ³1 樞¥  V i¿Fq † N H¹  £Ï  V/ a’¹·sFq P¤ î1ÿ¥ î¹·sªFq¥ { Æ {b ƒ“B Ÿ CP ˜ÏòñFq¥ { Æ {[  ˜ n { Æa  {û  ‹Ÿ V® ˜ |i eÅbFq †¥þ ØVñ9¤ž  a ’¥ ƒ; P¤ ˜²  b ü 9¹ CP ˜¥ µ†_‡4 Lb 1.2 ñþ ؐ µ†  v¥œ† Xy ë¥ñ CP  vÉ›œ†ZEnm 3b ñ CP  vÏ C  va P  vîCb òñ P  v çÿ ¥ÿ v¿vÿ õ¤ V“î¹÷v¥ P  vë¹o P_œ†pb ñM1 ó¥ C  vy  ” û¿v CIM 4¥dBSí ‚ s¥‹¨Î È ï“d CPœ† Cœ† Pœ† † «Ä † «Ä ÿ v ÿ v P ˜P ˜ C ˜ C ˜ ÿ õ¤ † õ¤       CP1 CP2 m 3 ñ CP ˜œ†¥ZE Fig. 3 Integrating method of multiple CP models 1508 ;Ò–©;™ xØ eÅ¥þ Ø µ†y ùî Vo l . 3 7 N o . 6  ð‹¨û V[É›¥Œº„º TyNÜ Äñ C  v ATBñ † «Äž ’¹É› † õ ¤g V“¥ C  vë¹o C_œ†pb| î 4¥ CaP ˜ºM•v1¥ZE¨¿o C_œ †paoP_œ†p  VFy¥o CP_“îp  vb ño CP_“îp  v¥_ “KÔ V[ LCœñ CPS ˜¥y ëb 2 ;™a Èý¥ CP ˜ 2.1 ;™Èý CP ˜ ¿v†ñ CP ˜y ëZEsYs;™ P ˜Ð C ˜¥  LC ˜W¥BB‹ 1“¤ž ;™ CP ˜b ;™Èý¥©rÈ ˜nm 4 [16] „ T 1b ID S ;v ê ˜ç Ž§ ” ù©;™È“d ˜8  [J]È©/ 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] ZEñž ìv–©±È© 5 Ø“dÏ¥   ˜ ”Z [J]È ï“d1îÄ 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 Ò– 1988 o « Vùî 3ö1ùîZ _¹È©¥þ Ø µ†“d E-mail zengzysjtu.edu.cn ê 1968 3YT€p Vùîô p V 3 â† Wª® ¦Œö1ùîZ _¹Æ È©aÈ©¥þ Ø µ†“daØ1 ;Ò– Äa ¥È1îÄ E-mail liudongieee.orgb  3 ©I Ù §‹
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