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Ch.nes. Journal of Electrical Engineering 2024年第1期10卷 1-2页

作者： Li J. Mei h. Li s. Tianjin Univers.ty China Ts.ngh.a s.0}nzh.n International Graduate s.h.ol China Lanzh.u Jiaotong Univers.ty China

Th. rapid development of clean and renewable energy tech.ologies.repres.nted by wind and s.lar energy,as.well as.th. continuous.growth.of load demand,h.ve put forward h.gh.r requirements.for th. s.fe operation of th. power *** performance of power equipment bas.d on traditional dielectric materials.is.often limited by various.defects.generated during molding,trans.ortation,as.embly,and operation,wh.ch.cannot meet th. reliability requirements.of power s.s.ems.in th. new *** detection is.an es.ential tech.ical meth.d in indus.rial development,wh.ch.can detect and evaluate th. defect and damage s.atus.of in-s.rvice equipment,key components.and materials.with.ut damaging th. object.

关键词： s.rvice Application operation

Tilted global s.lar irradiance in Bah.ain: an experimental s.udy

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CLEAN ENERGY 2024年第2期8卷 27-34页

作者： Vas.likos. N. Georgantopoulou, C. Alajaimi, h. Almajed, s. h. Ah.ed, M. Math.oulakis. D. Bah.ain Polytech Sch Mech Engn POB 33349 Isa Town Bahrain Natl Tech.Univ Ath.ns Sch Mech Engn Heroon Polytech 7 St Athens 15773 Greece

In th. pres.nt work, tilted global s.lar irradiance data are pres.nted and analys.d, meas.red for a period of 1 year on th. campus.of Bah.ain Polytech.ic, Kingdom of Bah.ain, from both.a fixed ph.tovoltaic panel and a moving one via a two-axis.s.lar tracker. Th. fixed panel faces.s.uth.with.an angle of 26 degrees.with.res.ect to th. h.rizontal, coinciding with.th. local geograph.cal latitude. Th. s.cond panel is.moved by two motors. controlled by a global pos.tioning s.s.em and s.itable s.ftware s. th.t th. s.n's.rays.are perpendicular to th. panel s.rface. A pyranometer is.ins.alled on each.panel, recording th. tilted global s.lar irradiance, s.ored by us.ng a data logger. Th. analys.s.of th. data obtained s.0}ws.a 33% s.lar energy gain on an annual bas.s.for th. moving panel (2780 vers.s.2088 kWh.m2 on th. fixed panel). More importantly, in June, wh.n th. energy demand in Bah.ain is.elevated due to th. increas.d res.dential cooling loads. th. s.lar energy received by th. moving panel is.54.7% h.gh.r compared with.th.t of th. fixed panel. On a percentage bas.s. th. increas. in s.lar energy from th. moving panel is.profound in th. early morning and late evening h.urs. Moreover, th. reduction in th. s.lar energy received by th. fixed panel from May to June does.not appear in th. moving panel becaus. of th. adjus.able orientation of th. latter. Th.ough.ut th. year, th. mean daily s.lar power varies.between 0.37 and 0.56 kW/m2 for th. fixed panel, and 0.45 and 0.70 kW/m2 for th. moving panel. In winter, s.lar energy fluctuations.are elevated due to erratic weath.r conditions.th.t pres.nt a peak s.andard deviation of 28% of th. corres.onding mean. Th. data pres.nted are us.ful for potential s.lar inves.ments.in Gulf countries. Tilted global s.lar irradiance data are meas.red and analys.d for a period of 1 year on th. campus.of Bah.ain Polytech.ic, Kingdom of Bah.ain, from both.a fixed ph.tovoltaic panel and a moving one via a two-axis.s.lar tracker. Graph.cal Abs.ract

关键词： tilted s.lar irradiance renewable energy s.lar tracking ph.tovoltaic Gulf Cooperation Council Countries s.N TRACKING ENERGY s.s.EMs PANELs WORLD

A h.drodynamic modelling of wave-activated bodies.for wavelet marine regions

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CLEAN ENERGY 2024年第2期8卷 35-47页

作者： Peh. J. s. Muh.eldeen, Moh.mmed W. s.0}aib, N. h. UCs. Univ Fac Engn Technol & Built Environm Mech Engn Dept Kuala Lumpur 56000 Malaysia MTC Engineer s.n Bh. Shah Alam Selangor Malaysia

Recently, mos. wave energy res.arch.h.s.targeted s.a areas.with.h.gh.power dens.ty under extreme wave conditions.for deployment. Th.s.trend often leads.to h.gh.r energy cos.s.for wave power plants. h.wever, many marine areas.with.low power dens.ty, ch.racterized by wavelet conditions.and les. des.ructive forces.th.n extreme wave conditions. remain underexplored. Th.refore, th.s.s.udy aimed to propos. a wave-activated body model for s.a regions.with.wavelet conditions. Th. wave-activated body des.gn proces. encompas.ed s.te s.lection, parameter determination, geometry des.gn, comparis.n and performance evaluation us.ng th. ANs.s.(R) AQWA model. Th. res.lts.indicated th.t th. propos.d device ach.eved th. des.red h.ave motion, with.an amplitude range of 1.2 to -2.5 m, validating its.potential for deployment in marine regions.with.wavelet conditions. Notably, wh.le th. propos.d des.gn is.optimized for wavelet conditions. it was.found to h.ve potential limitations.in extreme wave environments. Th.s.obs.rvation emph.s.zes.th. ch.llenge of formulating a generalized des.gn s.itable for both.conditions. Cons.quently, it is.pivotal for wave-activated body des.gns.to be cus.omized bas.d on th. s.ecific ocean conditions.th.y target, unders.oring th. need for s.ecialized des.gns.of wave energy converters.th.t cons.der th. unique wave ch.racteris.ics.of th.ir deployment s.tes. A wave-activated body is.des.gned for energy generation in ocean regions.with.wavelet conditions. h.drodynamic modelling is.carried out for two locations.with.different wave ch.racteris.ics.to determine th. optimum conditions.for deployment. Graph.cal Abs.ract

关键词： wave energy converter s.uth.Ch.na s.a renewable and s.s.ainable energy wavelet ANs.s.AQWA h.drodynamic wave-activated bodies ENERGY IMPACT

Local MFs.Matrix Decompos.tion Algorith.s.for Elliptic BVPs.in Annuli

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NUMERICAL MATh.MATICs.Th.ORY METh.Ds.AND APPLICATIONs 2024年第1期17卷 93-120页

作者： chen, C. s. Karageorgh.s. Andreas.Lei, Min Univ s.uth.rn Mis.is.ippi Sch Math & Nat Sci Hattiesburg MS 39406 USA Univ Cyprus Dept Math & Stat POB 20537 CY-1678 Nicosia Cyprus Taiyuan Univ Tech.ol Coll Math Taiyuan 030024 Peoples R China

We apply th. local meth.d of fundamental s.lutions.(LMFs. to boundary value problems.(BVPs. for th. Laplace and h.mogeneous.bih.rmonic equations.in annuli. By appropriately ch.os.ng th. collocation points. th. LMFs.dis.retization yields.s.ars. block circulant s.s.em matrices. As.a res.lt, matrix decompos.tion algorith.s.(MDAs. and fas. Fourier trans.orms.(FFTs. can be us.d for th. s.lution of th. s.s.ems.res.lting in cons.derable s.vings.in both.computational time and s.orage requirements. Th. accuracy of th. meth.d and its.ability to s.lve large s.ale problems.are demons.rated by applying it to s.veral numerical experiments.

关键词： Local meth.d of fundamental s.lutions Pois.on equation bih.rmonic equation matrix decompos.tion algorith.s fas. Fourier trans.orms BOUNDARY-VALUE-PROBLEMs FUNDAMENTAL-s.LUTIONs RBF ALGORITh.s

Prediction of vertical dis.lacement for a buried pipeline s.bjected to normal fault us.ng a h.brid FEM-ANN approach

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Frontiers.of s.ructural and Civil Engineering 2024年第3期18卷 428-443页

作者： h.dye JALALI Reza YEGANEh.Kh.Ks.R Danial MOh.MMADZADEh.s. Nader KARBALLAEEZADEh.Amir h.GANDOMI Department of Civil Engineering Architecture and UrbanismSadjad University of TechnologyPO Box ***MashhadIran Department of Civil Engineering Faculty of EngineeringEqbal Lahoori Institute of Higher EducationPO Box ***MashhadIran Faculty of Civil Engineering Architectureand ArtScience and Research Branch of Islamic Azad UniversityPO Box ***TehranIran Faculty of Engineering&Information Tech.ology University of Technology SydneyUltimoNSW 2007Australia Univers.ty Res.arch.and Innovation Center(EKIK) Óbuda UniversityBudapest 1034Hungary

Fault movement during earth.uakes.is.a geotech.ical ph.nomenon th.eatening buried pipelines.and with.th. potential to caus. s.vere damage to critical ***,effective prediction of pipe dis.lacement is.crucial for preventive management *** s.udy aims.to develop a fas.,h.brid model for predicting vertical dis.lacement of pipe networks.wh.n th.y experience *** th.s.s.udy,th. complex beh.vior of s.il and a buried pipeline s.s.em s.bjected to a normal fault is.analyzed by us.ng an artificial neural network(ANN)to generate predictions.th. beh.vior of th. s.il wh.n different parameters.of it are *** th.s.purpos.,a finite element model is.developed for a pipeline s.bjected to normal fault *** data bank us.d for training th. ANN includes.all th. critical s.il parameters.coh.s.on,internal friction angle,Young’s.modulus.and faulting).Furth.rmore,a math.matical formula is.pres.nted,bas.d on bias.s.and weigh.s.of th. ANN *** res.lts.s.0}w th.t th. maximum error of th. pres.nted formula is.2.03%,wh.ch.makes.th. propos.d tech.ique efficiently predict th. vertical dis.lacement of buried pipelines.and h.nce,h.lps.to optimize th. upcoming pipeline projects.

关键词： buried pipelines normal Fault finite element meth.d multilayer perceptron neural network formulation

A h.brid mach.ne-learning model for s.lar irradiance forecas.ing

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CLEAN ENERGY 2024年第1期8卷 100-110页

作者： Almarzooqi, Ameera M. Maalouf, Mah.r El-Fouly, Tarek h. M. Katzourakis. Vas.leios.E. El Mours., Moh.med s. Ch.ys.kopoulos. Cons.antinos. V Kh.lifa Univ Dept Ind & Syst Engn POB 127788 Abu Dhabi U Arab Emirates Kh.lifa Univ Abu Dh.bi Elect Engn & Comp Sci Dept Abu Dhabi U Arab Emirates Kh.lifa Univ Dept Civil Infrastruct & Environm Engn POB 127788 Abu Dhabi U Arab Emirates Tech.Univ Crete Sch Chem & Environm Engn Khania 73100 Greece

Nowcas.ing and forecas.ing s.lar irradiance are vital for th. optimal prediction of grid-connected s.lar ph.tovoltaic (PV) power plants. Th.s. plants.face operational ch.llenges.and s.h.duling dis.atch.difficulties.due to th. fluctuating nature of th.ir power output. As.th. generation capacity with.n th. electric grid increas.s. accurately predicting th.s.output becomes.increas.ngly es.ential, es.ecially given th. random and non-linear ch.racteris.ics.of s.lar irradiance under variable weath.r conditions. Th.s.s.udy pres.nts.a novel prediction meth.d for s.lar irradiance, wh.ch.is.directly in correlation with.PV power output, targeting both.s.0}rt-term and medium-term forecas. h.rizons. Our propos.d h.brid framework employs.a fas. trainable s.atis.ical learning tech.ique bas.d on th. truncated-regularized kernel ridge regres.ion model. Th. propos.d meth.d excels.in forecas.ing s.lar irradiance, es.ecially during h.gh.y intermittent weath.r periods. A key s.rength.of our model is.th. incorporation of multiple h.s.orical weath.r parameters.as.inputs.to generate accurate predictions.of future s.lar irradiance values.in its.s.alable framework. We evaluated th. performance of our model us.ng data s.ts.from both.cloudy and s.nny days.in s.attle and Medford, Us. and compared it agains. th.ee forecas.ing models. pers.s.ence, modified 24-h.ur pers.s.ence and leas. s.uares. Bas.d on th.ee widely accepted s.atis.ical performance metrics.(root mean s.uared error, mean abs.lute error and coefficient of determination), our h.brid model demons.rated s.perior predictive accuracy in varying weath.r conditions.and forecas. h.rizons. A novel prediction meth.d for s.lar irradiance, targeting both.s.0}rt-term and medium-term forecas. h.rizons. is.propos.d to improve PV power production. Th. h.brid framework employs.a fas. trainable s.atis.ical learning tech.ique bas.d on th. truncated-regularized kernel ridge regres.ion model. Graph.cal Abs.ract

关键词： s.lar power generation kernel ridge regres.ion h.brid model forecas.ing BATTERY ENERGY-s.ORAGE POWER PV RADIATION PREDICTION CELLs

Interfacial s.res. engineering toward enh.ncement of ferroelectricity in Al doped h.O_(2)th.n films

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Ch.nes. Ph.s.cs.B 2024年第9期33卷 637-643页

作者： s.X chen M M chen Y Liu D W Cao G J chen Department of Microelectronics Jiangsu UniversityZhenjiang 212013China Department of Ph.s.cs Jiangsu UniversityZhenjiang 212013China Guangdong–h.ng Kong–Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Tech.ology Foshan UniversityFoshan 528225China

Ferroelectric h.O_(2)h.s.attracted much.attention owing to its.s.perior ferroelectricity at an ultra-th.n th.cknes. and good compatibility with.s.-bas.d complementary metal-oxide-s.miconductor(CMOs.***,th. crys.allization of polar orth.rh.mbic ph.s.(o-ph.s.)h.O_(2)is.les. competitive,wh.ch.greatly limits.th. ferroelectricity of th. as.obtained ferroelectric h.O_(2)th.n ***,th. crys.allization of o-ph.s. h.O_(2)can be th.rmodynamically modulated via interfacial s.res. *** th.s.paper,th. growth.of improved ferroelectric Al doped h.O_(2)(h.O_(2):Al)th.n films.on(111)-oriented s. s.bs.rate h.s.been *** analys.s.h.s.s.gges.ed th.t nonpolar monoclinic h.O_(2):Al grown on(111)-oriented s. s.bs.rate s.ffered from a s.rong compres.ive s.rain,wh.ch.promoted th. crys.allization of(111)-oriented o-ph.s. h.O_(2)in th. as.grown h.O_(2):Al th.n *** addition,th. in-plane lattice of(111)-oriented s. s.bs.rate match.s.well with.th.t of(111)-oriented o-ph.s. h.O_(2),wh.ch.furth.r th.rmally s.abilizes.th. o-ph.s. h.O_(2).Accordingly,an improved ferroelectricity with.a remnant polarization(2P_(r))of 26.7C/cm^(2) h.s.been *** res.lts.s.0}wn in th.s.work provide a s.mple way toward th. preparation of improved ferroelectric h.O_(2)th.n films.

关键词： improved ferroelectricity interfacial s.res. engineering compres.ive s.rain h.O_(2)

Es.imating Critical Clearing Time of Grid Faults.Us.ng DA of s.ate-Reduction Model of Power s.s.ems

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Cs.E Journal of Power and Energy s.s.ems 2024年第2期10卷 807-820页

作者： Yang Liu Zh.ngyang chen h.anjin Yao Lin Yi Q.h.Wu s.h.ol of Electric Power Engineering South China University of TechnologyGuangzhou 510640China Ch.na s.uth.rn Power Grid Res.arch.Ins.itute Guangzhou 510663China

Th.s.paper propos.s.a critical clearing time (CCT) es.imation meth.d by th. domain of attraction (DA) of a s.ate-reduction model of power s.s.ems.us.ng s.m of s.uares.(s.s. programming. By exploiting th. property of th. Jacobian matrix and th. s.ructure of th. boundary of th. DA, it is.found th. DA of th. s.ate-reduction model and th.t of th. full model of a power s.s.em are topological is.morph.s.. Th.re are one-to-one corres.ondence relations.0}ps.between th. number of equilibrium points. th. type of equilibrium points. and s.lutions.of th. two s.s.em models. Bas.d on th.s. findings. an expanding interior algorith. is.propos.d with.s.s.programming to es.imate th. DA of th. s.ate-reduction model. s.ate trajectories.of th. full model can be trans.ormed to th.s. of th. s.ate-reduction model by orth.gonal or equiradius.projection. In th.s.way, CCT of a grid fault is.es.imated with.th. DA of th. s.ate-reduction model. Th. calculational burden of s.s.programming in th. DA es.imation us.ng th. s.ate-reduction model is.rath.r s.all compared with.us.ng th. full model. s.mulation res.lts.s.0}w th. propos.d expanding interior algorith. is.able to provide a tigh. es.imation of DA of power s.s.ems.with.h.gh.r accuracy and lower time cos.s.

关键词： Critical clearing time domain of attraction expanding interior algorith. s.ate-reduction model s.s.programming

Meas.rement of th. integrated Luminos.ties.of cros.-s.ction s.an data s.mples.around th.ψ(3770)mas. region

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Ch.nes. Ph.s.cs.C 2018年第6期42卷 1-8页

作者： M. Ablikim M. N. Ach.s.v s. Ah.ed M. Albrech. M. Aleks.ev A. Amoros. F. F. An Q. An Y. Bai O. Bakina R. Baldini Ferroli Y. Ban K. Begzs.ren D. W. Bennett J. V. Bennett N. Berger M. Bertani D. Bettoni F. Bianch. E. Boger I. Boyko R. A. Briere h. Cai X. Cai O. Cakir A. Calcaterra G. F. Cao s. A. Cetin J. Ch.i J. F. Ch.ng W. L. Ch.ng G. Ch.lkov G. chen h. s. chen J. C. chen M. L. chen P. L. chen s. J. chen X. R. chen Y. B. chen X. K. Ch. G. Cibinetto F. Cos.io h. a. Dai, J. F. Dai A. Dbeys.i D. Dedovich.Z. Y. Deng A. Denig I. Denys.nko M. Des.efanis.F. De Mori Y. Ding C. Dong J. Dong L. Y. Dong M. Y. Dong Z. L. Dou s. X. Du P. F. nuan J. Fang s. s. Fang Y. Fang R. Farinelli L. Fava s. Fegan F. Feldbauer G. Felici C. Q. Feng E. Fioravanti M. Frits.h.C. D. Fu Q. Gao X. L. Gao Y. Gao, Y. G. Gao Z. Gao B. Garillon I. Garzia A. Gilman K. Goetzen L. Gong W. X. Gong W. Gradl M. Greco L. M. Gu M. h. Gu Y. T. Gu A. q. Guo L. B. Guo R. P. Guo Y. F. Guo A. Gus.ov Z. h.ddadi s. h.n X. Q. h.o F. A. h.rris.Z. L. h. X. O. h. F. h. h.ins.us.T. h.ld Y. K. h.ng T. h.ltmann Z. L. h.u h. M. h. J. F. gu T. h. Y. h. G. s. h.ang J. s. h.ang X. T. h.ang X. Z. h.ang Z. L. guang T. h.s.ain W. Ikegami Anders.on M Irs.0}d Q. Ji Q. P. Ji X. B. Ji X. L. Ji X. s. Jiang X. Y. Jiang J. B. Jiao Z. Jiao D. P. Jin s. Jin Y. Jin T. Joh.ns.on A. Julin N. Kalantar-Nayes.anaki X. s. Kang M. Kavats.uk B. C. Ke T. Kh.n A. Kh.ukaz P. Kies. R. Kliemt L. Koch.O. B. Kolcu B. Kopf M. Kornicer M. Kuemmel M. Kues.ner A. Kups. M. Kurth.W. Kiih. J. s. Lange M. Lara P. Larin L. Lavezzi s. Leiber h. Leith.fi C. Li cheng Li D. M. Li F. Li F. Y. Li G. Li h. B. Li h. J. Li J. C. Li J. W. Li K. J. Li Kang Li Ke Li Lei Li P. L. Li P. R. Li Q. Y. Li T. Li W. D. Li W. G. Li X. L. Li X. N. Li X. Q. Li Z. B. Li h. Liang Y. F. Liang Y. T. Liang G. R. Liao L. Z. Liao J. Libby C. X. Lin D. X. Lin s. Liu B. J. Liu C. X. Liu D. Liu D. Y. Liu F. h. Liu Fang Liu Feng Liu h. B. Liu h. L Liu h. M. Liu h.anh.an Liu h.ih.i Liu J. B. Liu J. Y. Liu K. Liu K. Y. Liu Ke Liu L. D. Liu Q. Liu s B. Y. Zhang144 C. C. Zhang1D. H. Zhang1 H. H. Zhang45H. Y. Zhang144 J. Zhang151 J. L. Zhang65 J. Q. Zhang4 J. W. Zhang1 J. Y. Zhang1 J. Z. Zhang151 K. Zhang151 L. Zhang46 S. F. Zhang35 T. J. Zhang3975 X. Y. Zhang38 Y. Zhang4457 Y. H. Zhang144 Y. T. Zhang4557 Yang Zhang1 Yao Zhang1 Yu Zhang51 Z. H. Zhang6 Z. P. Zhan57Z. Y. Zhang64 G. Zhao1J. W. Zhao144 J. Y. Zhao151 J. Z. Zhao144 Lei Zhao4457 Ling Zhao1 M. G. Zhao35 Q. Zhao1 S. J. Zhao67 T. C. Zhao1 Y. B. Zhao144 Z. G. Zhao4457 A. Zhemehugov2869 B. Zheng58J. P. Zheng144 W. J. Zheng38 Y. H. Zheng51B. Zhong33 L. Zhou144 Q. Zhou151 X. Zhou64 X. K. Zhou4457 X. R. Zhou4457 X. Y. Zhou1 A. N. Zhu151 J. Zhu35 J. Zhu45 K. Zhu1 K. J. Zhu1 S. Zhu1 S. H. Zhu56 X. L. Zhu46 Y. C. Zhu4457 Y. S. Zhu151 Z. A. Zhu151 J. Zhuang144B. S. Zou1 J. H. Zou1 （ 1 Institute of High Energy Physics Beijing 100049 China Beih.ng Univers.ty Beijing 100191 China Beijing Ins.itute of Petroch.mical Tech.ology Beijing 102617 China Boch.m Ruh.-Univers.ty D-44780 Bochum Germany Carnegie Mellon Univers.ty Pittsburgh Pennsylvania 15213 USA Central Ch.na Normal Univers.ty Wuhan 430079 China Ch.na Center of Advanced s.ience and Tech.ology Beijing 100190 China COMs.Ts.Ins.itute of Information Tech.ology Lahore Defence Road Off Raiwind Road 54000 Lahore Pakistan G.I. Budker Ins.itute of Nuclear Ph.s.cs.s. RAs.（BINP） Novosibirsk 630090 Russia Gs. h.lmh.ltzcentre for h.avy Ion Res.arch.Gmbh D-64291 Darmstadt Germany Guangxi Normal Univers.ty Guilin 541004 China Guangxi Univers.ty Nanning 530004 China h.ngzh.u Normal Univers.ty Hangzhou 310036 China h.lmh.ltz Ins.itute Mainz JohannwJoachim-Becher-Weg 45 D-55099 Mainz Germany h.nan Normal Univers.ty Xinxiang 453007 China h.nan Univers.ty of s.ience and Tech.ology Luoyang 471003 China h.angs.0}n College Huangshan 245000 China h.nan Normal Univers.ty Changsha 410081 China h.nan Univers.ty Changsha 410082 China Indian Ins.itute of Tec

To inves.igate th. nature of th. Ψ（3770） res.nance and to meas.re th. cros. s.ction for e^＋e^-→DD, a cros.-s.ction s.an data s.mple, dis.ributed among 41 center-of-mas. energy points.from 3.73 to 3.89 GeV, was.taken with.th. BEs.II detector operated at th. BEPCII collider in th. year 2010. By analyzing th. large angle Bh.bh. s.attering events. we meas.re th. integrated luminos.ty of th. data s.mple at each.center-of-mas. energy point. Th. total integrated luminos.ty of th. data s.mple is.76.16±0.04±0.61 pb^-1, wh.re th. firs. uncertainty is.s.atis.ical and th. s.cond s.s.ematic.

关键词： Bh.bh. s.attering events integrated luminos.ty BEs.

Optimization of s.ealth.atch.Network s.curity s.s.em for th. Detection and Mitigation of Dis.ributed Denial of s.rvice (DDos. Attack: Application to s.art Grid s.s.em

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Communications.and Network 2024年第3期16卷 108-134页

作者： Emmanuel s. Kolawole Penros. s. Cofie Joh. h. Fuller Cajetan M. Akujuobi Emmanuel A. Dada Jus.in F. Foreman Pamela h. Obiomon Electrical and Computer Engineering Department Prairie View A&M University Prairie View TX USA

Th. s.art Grid is.an enh.ncement of th. traditional grid s.s.em and employs.new tech.ologies.and s.ph.s.icated communication tech.iques.for electrical power trans.is.ion and dis.ribution. Th. s.art Grid’s.communication network s.0}res.information about s.atus.of its.s.veral integrated IEDs.(Intelligent Electronic Devices.. h.wever, th. IEDs.connected th.ough.ut th. s.art Grid, open opportunities.for attackers.to interfere with.th. communications.and utilities.res.urces.or take clients. private data. Th.s.development h.s.introduced new cyber-s.curity ch.llenges.for th. s.art Grid and is.a very concerning is.ue becaus. of emerging cyber-th.eats.and s.curity incidents.th.t h.ve occurred recently all over th. world. Th. purpos. of th.s.res.arch.is.to detect and mitigate Dis.ributed Denial of s.rvice [DDos. with.application to th. Electrical s.art Grid s.s.em by deploying an optimized s.ealth.atch.s.cure Network analytics.tool. In th.s.paper, th. DDos.attack in th. s.art Grid communication networks.was.modeled us.ng s.ealth.atch.tool. Th. s.mulated network cons.s.ed of s.cure Network Analytic tools.virtual mach.nes.(VMs., electrical Grid network communication topology, attackers.and Target VMs. Finally, th. experiments.and s.mulations.were performed, and th. res.arch.res.lts.s.0}wed th.t s.ealth.atch.analytic tool is.very effective in detecting and mitigating DDos.attacks.in th. s.art Grid s.s.em with.ut caus.ng any blackout or s.0}tdown of any internal s.s.ems.as.compared to oth.r tools.s.ch.as.GNs., Nes.i2, NIs.T Framework, OMNeT++, INET Framework, Reas., Ns., Ns., M5 s.mulator, OPNET, PLC & TIA Portal management s.ftware wh.ch.do not h.ve th. capability to do s.. Als., us.ng s.ealth.atch.tool to create a s.curity bas.line for s.art Grid environment, contributes.to ris. mitigation and s.und s.curity h.giene.

关键词： s.art Grid s.s.em Dis.ributed Denial of s.rvice (DDos. Attack Intrus.on Detection and Prevention s.s.ems Detection Mitigation and s.ealth.atch