Power Generation Technology ›› 2022, Vol. 43 ›› Issue (2): 287-304.DOI: 10.12096/j.2096-4528.pgt.22058
• Smart Grid • Previous Articles Next Articles
Chao HUANG1,2, Siqi BU1,2, Qiyu CHEN3, Hiu Hung LEE2
Received:
2022-03-16
Published:
2022-04-30
Online:
2022-05-13
Supported by:
CLC Number:
Chao HUANG, Siqi BU, Qiyu CHEN, Hiu Hung LEE. Meta-Power: Next-Generation Smart Grid[J]. Power Generation Technology, 2022, 43(2): 287-304.
1 | 申洪,周勤勇,刘耀,等 .碳中和背景下全球能源互联网构建的关键技术及展望[J].发电技术,2021,42(1):8-19. doi:10.12096/j.2096-4528.pgt.20113 |
SHEN H, ZHOU Q Y, LIU Y,et al .Key technologies and prospects for the construction of global energy internet under the background of carbon neutral[J].Power Generation Technology,2021,42(1):8-19. doi:10.12096/j.2096-4528.pgt.20113 | |
2 | 童光毅 .基于双碳目标的智慧能源体系构建[J].智慧电力,2021,49(5):1-6. doi:10.3969/j.issn.1673-7598.2021.05.002 |
TONG G Y .Construction of smart energy system based on dual carbon goal[J].Smart Power,2021,49(5):1-6. doi:10.3969/j.issn.1673-7598.2021.05.002 | |
3 | SILBERMAN S .The energy web[EB/OL].(2001-07-01)[2022-02-21].. |
4 | 张瑶,王傲寒,张宏 .中国智能电网发展综述[J].电力系统保护与控制,2021,49(5):180-187. |
ZHANG Y, WANG A H, ZHANG H .Overview of smart grid development in China[J].Power System Protection and Control,2021,49(5):180-187. | |
5 | 谢清玉,张耀坤,李经纬 .面向智能电网的电力大数据关键技术应用[J].电网与清洁能源,2021,37(12):39-46. doi:10.3969/j.issn.1674-3814.2021.12.006 |
XIE Q Y, ZHANG Y K, LI J W .Application of key technologies of power big data in smart grids[J].Power System and Clean Energy,2021,37(12):39-46. doi:10.3969/j.issn.1674-3814.2021.12.006 | |
6 | SMART J, CASCIO J, PAFFENDORF J .Metaverse roadmap:pathway to the 3D web[R].Metaverse:A Cross-Industry Public Foresight Project,2007. |
7 | NING H, WANG H, LIN Y,et al .A survey on metaverse:the state-of-the-art,technologies,applications,and challenges[EB/OL].(2021-11-18)[2022-02-21]. . |
8 | LEE L H, BRAUD T, ZHOU P,et al .All one needs to know about metaverse:a complete survey on technological singularity,virtual ecosystem,and research agenda[EB/OL].(2021-11-18)[2022-02-21]. . |
9 | SIYAEV A, JO G S .Towards aircraft maintenance metaverse using speech interactions with virtual objects in mixed reality[J].Sensors,2021,21(6):2066. doi:10.3390/s21062066 |
10 | NINAGAWA C .Virtual power plant integration technology[M].Singapore:Springer Press,2022. doi:10.1007/978-981-16-6148-8 |
11 | 米阳,王鹏,邓锦,等 .孤岛交直流混合微电网群分层协调控制[J].电力系统保护与控制,2021,49(20):1-8. |
MI Y, WANG P, DENG J,et al .Hierarchical coordinated control of island AC/DC hybrid microgrids[J].Power System Protection and Control,2021,49(20):1-8. | |
12 | KHODAEI A, BAHRAMIRAD A, SHAHIDEHPOUR M .Microgrid planning under uncertainty[J].IEEE Transactions on Power Systems,2015,30(5):2417-2425. doi:10.1109/tpwrs.2014.2361094 |
13 | FLUHR J, AHLERT K H, WEINHARDT C .A stochastic model for simulating the availability of electric vehicles for services to the power grid[C]//2010 43rd Hawaii International Conderence on System Sciences.2010:1-10. doi:10.1109/hicss.2010.33 |
14 | Gartner .Gartner identifies the top 10 strategic technology trends for 2018[R].U S:Gartner,2018. doi:10.1049/et.2018.1021 |
15 | RODIC B .Industry 4.0 and the new simulation modelling paradigm[J].Organizacija,2017,50(3):193-207. doi:10.1515/orga-2017-0017 |
16 | HARGREAVES P A, MECROW B C, HALL R . Calculation of iron loss in electrical generators using finite-element analysis[J].IEEE Transactions on Industry Applications,2012,48(5):1460-1466. doi:10.1109/tia.2012.2209851 |
17 | SANTOS H F DOS, SADOWSKI N, BATISTELA N J,et al .Synchronous generator fault investigation by experimental and finite-element procedures[J].IEEE Transactions on Magnetics,2016,52(3):1-4. doi:10.1109/tmag.2015.2480546 |
18 | RAMAYANTI S, BUDIANTORO P .Design analysis of solar panel structure LAPAN-constellation satellite using finite element analysis[J].IOP Conference Series:Materials Science and Engineering,2021,1041(1):12020. doi:10.1088/1757-899x/1041/1/012020 |
19 | TAO F, ZHANG M, LIU Y,et al .Digital twin driven prognostics and health management for complex equipment[J].CIRP Annals,2018,67(1):169-172. doi:10.1016/j.cirp.2018.04.055 |
20 | HUSSAIN M R, REFAAT S S .Improvement in three-dimension al finite element modeling for high voltage power transformer in time domain[C]//2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC).2021:460-466. doi:10.1109/pemc48073.2021.9432566 |
21 | QU J, WANG Q, ZHANG J,et al .3-D transient finite-element analysis and experimental investigation of short-circuit dynamic stability for air circuit breaker[J].IEEE Transactions on Components,Packaging and Manufacturing Technology,2015,5(11):1610-1617. doi:10.1109/tcpmt.2015.2475300 |
22 | WANG Z, LIU Y, KONG X,et al .Galloping characteristics of 10 kV overhead transmission line using finite element analysis method[C]//2021 International Conference on Electrical Materials and Power Equipment (ICEMPE).Chingqing,China:IEEE,2021:1-4. doi:10.1109/icempe51623.2021.9509102 |
23 | CONTI S, DILETTOSO E, RIZZO S A . Electromagnetic and thermal analysis of high voltage three-phase underground cables using finite element method[C]//2018 International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe).2018:1-6. doi:10.1109/eeeic.2018.8525354 |
24 | YAMAZAKI K, MATSUMOTO M .3-D finite element meshing for skewed rotor induction motors[J].IEEE Transactions on Magnetics,2015,51(3):1-4. doi:10.1109/tmag.2014.2348568 |
25 | TSAO B, CHMIEL B, DEVILLIER A,et al .Transient finite element simulation of a Lithium-ion battery pack thermal management system based on latent heat system materials[J].ECS Transactions,2021,104(1):61-71. doi:10.1149/10401.0061ecst |
26 | CANIZARES C, FERNANDES T, GERALDI E,et al .Benchmark models for the analysis and control of small-signal oscillatory dynamics in power systems[J].IEEE Transactions on Power Systems,2017,32(1):715-722. doi:10.1109/tpwrs.2016.2561263 |
27 | LATRECHE Y, BOUCHEKARA H R E H, NAIDU K,et al .Comprehensive review of radial distribution test systems[EB/OL].(2020-06-20)[2022-02-21].. doi:10.36227/techrxiv.12578648 |
28 | HE X, AI Q, QIU R C,et al .Preliminary exploration on digital twin for power systems:challenges,framework,and applications[EB/OL].(2019-09-16)[2022-02-21]. . |
29 | AGHAMOLKI H G, MIAO Z, FAN L .A hardware-in-the-loop SCADA testbed[C]//2015 North American Power Symposium (NAPS),Charlotte,USA:IEEE,2015:1-6. doi:10.1109/naps.2015.7335093 |
30 | YANG Y, JIANG H T, MCLAUGHLIN K,et al .Cybersecurity test-bed for IEC 61850 based smart substations[C]//2015 IEEE Power & Energy Society General Meeting.Denver,USA:IEEE,2015:1-5. doi:10.1109/pesgm.2015.7286357 |
31 | CINTUGLU M H, MOHAMMED O A, AKKAYA K,et al .A survey on smart grid cyber-physical system testbeds[J].IEEE Communications Surveys & Tutorials,2017,19(1):446-464. doi:10.1109/comst.2016.2627399 |
32 | SONG X, JIANG T, SCHLEGEL S,et al .Investigation of inventive tuning algorithm for the realization of digital twins of inverter model in inverter-dominated power distribution grid[C]//2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe).Bucharest,Romania:IEEE,2019:1-6. doi:10.1109/isgteurope.2019.8905551 |
33 | SAAD A, FADDEL S, MOHAMMED O .IoT-based digital twin for energy cyber-physical systems:design and implementation[J].Energies,2020,13(18):4762. doi:10.3390/en13184762 |
34 | LE F C, TAO Y .Intelligent energy dispatching robot and its knowledge automation:information,physics and social integration:frame-work,technology and challenges[J].Procedia CSEE,2018,38(1):25-40. |
35 | 杨挺,翟峰,赵英杰,等 .泛在电力物联网释义与研究展望[J].电力系统自动化,2019,43(13):9-20. doi:10.7500/AEPS20190418015 |
YANG T, ZHAI F, ZHAO Y J,et al .Interpretation and research prospects of ubiquitous power internet of things[J].Automation of Electric Power Systems,2019,43(13):9-20. doi:10.7500/AEPS20190418015 | |
36 | GALLI S, SCAGLIONE A, WANG Z .For the grid and through the grid:the role of power line communications in the smart grid[J].Proceedings of the IEEE,2011,99(6):998-1027. doi:10.1109/jproc.2011.2109670 |
37 | ANCILLOTTI E, BRUNO R, CONTI M .The role of communication systems in smart grids:architectures,technical solutions and research challenges[J].Computer Communications,2013,36(17/18):1665-1697. doi:10.1016/j.comcom.2013.09.004 |
38 | YANG B, YAMAZAKI J, SAITO N,et al .Big data analytic empowered grid applications:is PMU a big data issue[C]//2015 12th International Conference on the European Energy Market (EEM).Lisbon,Potugal:IEEE,2015:1-4. doi:10.1109/eem.2015.7216718 |
39 | THOLOMIER D, Kang H, CVOROVIC B .Phasor measurement units:functionality and applications[C]//2009 Power Systems Conference.Clemson,USA:IEEE,2009:1-12. doi:10.1109/psamp.2009.5262468 |
40 | MAHMOOD A, AAMIR M, ANIS M I .Design and implementation of AMR smart grid system[C]//2008 IEEE Canada Electric Power Conference.Karachi,Pakistan:IEEE,2008:1-6. doi:10.1109/epc.2008.4763340 |
41 | LEWIS R P, IGICT P, ZHOU Z .Assessment of communication methods for smart electricity metering in the UK[C]//2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE).Valencia,Spain:IEEE,2009:1-4. doi:10.1109/sae.2009.5534884 |
42 | ZHANG D, SUN B, FAN H .Remote online power system monitoring system based on multiinformation acquisition technology[C]//2004 International Conference on Power System Technology.Singapore:IEEE,2004:1147-1151. |
43 | SYED D, ZAINAB A, GHRAYEB A,et al .Smart grid big data analytics:survey of technologies,techniques,and applications[J].IEEE Access,2020,9:59564-59585. doi:10.1109/access.2020.3041178 |
44 | 魏梦飒,陆增洁,徐建清,等 .基于大数据模型的电网风电场群总功率预测[J].电子设计工程,2019,27(23):64-67. |
WEI M S, LU Z J, XU J Q,et al .Prediction of total power of grid-connected wind farm based on big data model[J].Electronic Design Engineering,2019,27(23):64-67. | |
45 | 赵川,孙华利,王国平,等 .基于大数据的电力信息系统网络安全分析[J].电子设计工程,2019,27(23):148-152. |
ZHAO C, SUN H L, WANG G P,et al .Network security analysis of power information system based on big data[J].Electronic Design Engineering,2019,27(23):148-152. | |
46 | 赵俊华,文福拴,薛禹胜,等 .云计算:构建未来电力系统的核心计算平台[J].电力系统自动化,2010,34(48):1-8. |
ZHAO J H, WEN F S, XUE Y S,et al .Cloud computing:the core computing platform for building future power systems[J].Automation of Electric Power Systems,2010,34(48):1-8. | |
47 | TONG J, WU H, LIN Y,et al .Fog-computing-based short-circuit diagnosis scheme[J].IEEE Transactions on Smart Grid,2020,11(4):3359-3371. doi:10.1109/tsg.2020.2964805 |
48 | PENG N, LIANG R, WANG G,et al .Edge computing based fault location in distribution networks by using asynchronous transient amplitudes at limited nodes[J].IEEE Transactions on Smart Grid,2021,12(1):574-588. doi:10.1109/tsg.2020.3009005 |
49 | LIU Y, YANG C, JIANG L,et al .Intelligent edge computing for IoT-based energy management in smart cities[J].IEEE Network,2019,33(2):111-117. doi:10.1109/mnet.2019.1800254 |
50 | IBRAHIM M S, DONG W, YANG Q .Machine learning driven smart electric power systems:current trends and new perspectives[J].Applied Energy,2020,272:115237. doi:10.1016/j.apenergy.2020.115237 |
51 | OGUZ K .Big data applications in the energy sector[M].Portugal:Instituto Superior Tecnico,2017. doi:10.23919/ropaces.2017.7916057 |
52 | JIAO R, HUANG X, MA X,et al .A model combining stacked auto encoder and back propagation algorithm for short-term wind power forecasting[J].IEEE Access,2018,6:17851-17858. doi:10.1109/access.2018.2818108 |
53 | ONETO L, LAURERI F, ROBBA M,et al .Data-driven photovoltaic power production nowcasting and forecasting for polygeneration microgrids[J].IEEE Systems Journal,2017,12(3):2842-2853. doi:10.1109/jsyst.2017.2688359 |
54 | KONG W, DONG Z Y, JIA Y,et al . Short-term residential load forecasting based on LSTM recurrent neural network[J].IEEE Transactions on Smart Grid,2017,10(1):841-851. |
55 | WANG S, WANG X, WANG S,et al .Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting[J].International Journal of Electrical Power & Energy Systems,2019,109:470-479. doi:10.1016/j.ijepes.2019.02.022 |
56 | RAFIEI M, NIKNAM T, AGHAEI J,et al .Probabilistic load forecasting using an improved wavelet neural network trained by generalized extreme learning machine[J].IEEE Transactions on Smart Grid,2018,9(6):6961-6971. doi:10.1109/tsg.2018.2807845 |
57 | YIN L, GAO Q, ZHAO L,et al .Expandable deep learning for real-time economic generation dispatch and control of three-state energies based future smart grids[J].Energy,2020,191:116561. doi:10.1016/j.energy.2019.116561 |
58 | ZHANG X S, LI Q, YU T,et al .Consensus transfer Q-learning for decentralized generation command dispatch based on virtual generation tribe[J].IEEE Transactions on Smart Grid,2016,9(3):2152-2165. doi:10.1109/tsg.2016.2607801 |
59 | ISLAM M, LEE G, HETTIWATTE S N,et al .Calculating a health index for power transformers using a subsystem-based GRNN approach[J].IEEE Transactions on Power Delivery,2017,33(4):1903-1912. doi:10.1109/tpwrd.2017.2770166 |
60 | PENG X, YANG F, WANG G,et al .A convolutional neural network-based deep learning methodology for recognition of partial discharge patterns from high-voltage cables[J].IEEE Transactions on Power Delivery,2019,34(4):1460-1469. doi:10.1109/tpwrd.2019.2906086 |
61 | YAO S, KANG Q, ZHOU M,et al .Intelligent and data-driven fault detection of photovoltaic plants[J].Processes,2021,9(10):1711. doi:10.3390/pr9101711 |
62 | ABDELGAYED T S, MORSI W G, SIDHU T S .A new approach for fault classification in microgrids using optimal wavelet functions matching pursuit[J].IEEE Transactions on Smart Grid,2017,9(5):4838-4846. doi:10.1109/tsg.2017.2672881 |
63 | LIVANI H, EVRENOSOGLU C Y .A machine learning and wavelet-based fault location method for hybrid transmission lines[J].IEEE Transactions on Smart Grid,2013,5(1):51-59. doi:10.1109/tsg.2013.2260421 |
64 | LAAKI H, MICHE Y, TAMMI K .Prototyping a digital twin for real time remote control over mobile networks:application of remote surgery[J].IEEE Access,2019,7:20325-20336. doi:10.1109/access.2019.2897018 |
65 | GOMES Jr D L, DE PAIVA A C, SILVA A C,et al .Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations[J].Computers in Industry,2018,97:67-75. doi:10.1016/j.compind.2018.01.010 |
66 | GORSKI F, GRAJEWSKI D,BUN P,et al .Study of interaction methods in virtual electrician training[J].IEEE Access,2021,9:118242-118252. doi:10.1109/access.2021.3106826 |
67 | 宋慧娟 .基于混合现实的人工智能在电力巡检中的应用[J].电网与清洁能源,2020,36(2):75-79. |
SONG H J .Application of artificial intelligence based on mixed reality in power inspection[J].Power System and Clean Energy,2020,36(2):75-79. | |
68 | 肖东裕,谢旭琛,王慧豪,等 .基于虚拟成像技术的变电站运维系统设计[J].通信电源技术,2019,36(8):46-47. |
XIAO D Y, XIE X C, WANG H H,et al .Design of substation operation and maintenance system based on virtual imaging technology[J].Telecom Power Technology,2019,36(8):46-47. | |
69 | ZHANG P, LI F, BHATT N .Next-generation monitoring,analysis,and control for the future smart control center[J].IEEE Transactions on Smart Grid,2010,1(2):186-192. doi:10.1109/tsg.2010.2053855 |
70 | CHAE C H, JUNG N J, KO K H .Mobile power facilities maintenance system using augmented reality[J].Journal of Electrical Engineering & Technology,2021:1-13. doi:10.1007/s42835-021-00942-y |
71 | DAVIDSON E M, MCARTHUR S D J, MCDONALD J R,et al .Applying multi-agent system technology in practice:automated management and analysis of SCADA and digital fault recorder data[J].IEEE Transactions on Power Systems,2006,21(2):559-567. doi:10.1109/tpwrs.2006.873109 |
72 | TU C, HE X, SHUAI Z,et al .Big data issues in smart grid:a review[J].Renewable and Sustainable Energy Reviews,2017,79:1099-1107. doi:10.1016/j.rser.2017.05.134 |
73 | BAZMOHAMMADI N, MADARY A, VASQUEZ J C,et al .Microgrid digital twins:concepts,applications,and future trends[J].IEEE Access,2021,10:2284-2302. doi:10.1109/access.2021.3138990 |
74 | 周博文,奚超,李广地,等 .元宇宙在电力系统中的应用[J].发电技术,2022,43(1):1-9. doi:10.12096/j.2096-4528.pgt.21144 |
ZHOU B W, XI C, LI G D,et al .Metaverse application in power systems[J].Power Generation Technology,2022,43(1):1-9. doi:10.12096/j.2096-4528.pgt.21144 | |
75 | SAAD A, FADDEL S, YOUSSEF T,et al .On the implementation of IoT-based digital twin for networked microgrids resiliency against cyber attacks[J].IEEE Transactions on Smart Grid,2020,11(6):5138-5150. doi:10.1109/tsg.2020.3000958 |
76 | JAIN P, POON J, SINGH J P,et al .A digital twin approach for fault diagnosis in distributed photovoltaic systems[J].IEEE Transactions on Power Electronics,2019,35(1):940-956. doi:10.1109/tpel.2019.2911594 |
77 | BRANDTSTAEDTER H, LUDWIG C, HUBNER L,et al .Digital twins for large electric drive trains[C]//2018 Petroleum and Chemical Industry Conference Europe (PCIC Europe).2018:1-5. doi:10.23919/pciceurope.2018.8491413 |
78 | NOWOCIN J K .Microgrid risk reduction for design and validation testing using controller hardware in the loop[D].Massachusetts:Massachusetts Institute of Technology,2017. |
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