Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Overview of Plug-in Electric Vehicle Technologies Read chapter Read first chapter

2015 | OriginalPaper | Chapter

5. Cyber Security of Plug-in Electric Vehicles in Smart Grids: Application of Intrusion Detection Methods

Authors : Sajjad Abedi, Ata Arvani, Reza Jamalzadeh

Published in: Plug In Electric Vehicles in Smart Grids

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

With emerging penetration of Plug-in Electric Vehicles (PEVs) into smart grids, system operators face new challenges regarding the system security. The security involves all parties in the energy system, because PEVs are not only considered as loads, but also as demand response or distributed energy resources, with bidirectional power flow into the distribution network. Furthermore, due to the random time, amount and location of the PEVs utilization, their behavior is inherently uncertain. In this context, monitoring and control of PEVs utilization necessitate the real-time data communication with control centers throughout the smart grid. The security and reliability of power system will be dependent on how the PEVs data are collected and managed. Hence, assuring data confidentiality, integrity and availability are significant parts of PEV-integrated cyber-physical systems (CPS). This chapter aims at exploring the cyber security issues of PEVs in the smart grid and review some of the state-of-the-art analysis methods to detect the cyber-attacks. We study the model-based and signal-based intrusion detection methods to detect any anomalies, followed by a specific application to PEVs false data injection in the smart grid. The chi-square test and discrete wavelet transform (DWT) are used for anomaly detection.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter Testbed Design and Co-simulation of PEV Coordination Schemes Over Integrated Fiber-Wireless Smart Grid Communications Infrastructures
next chapter Impact Evaluation of Plug-in Electric Vehicles on Power System
Literature
1.
2.
Hota AR, Juvvanapudi M, Bajpai P (2014) Issues and solution approaches in PHEV integration to smart grid. Renew Sustain Energy Rev 30:217–229
3.
Green II, Robert C, Wang L, Alam M (2011) The impact of plug-in hybrid electric vehicles on distribution networks: a review and outlook. Renew Sustain Energy Rev 15(1):544–553CrossRef
4.
Tie SF, Tan CW (2013) A review of energy sources and energy management system in electric vehicles. Renew Sustain Energy Rev 20:82–102
5.
Wirasingha SG, Emadi A (2011) Classification and review of control strategies for plug-in hybrid electric vehicles. IEEE Trans Veh Technol 60(1):111–122
6.
Emadi A, Young JL, Rajashekara K (2008) Power electronics and motor drives in electric, hybrid electric, and plug-in hybrid electric vehicles. IEEE Trans Ind Electron 6:2237–2245
7.
Peng M, Liu L, Jiang C (2012) A review on the economic dispatch and risk management of the large-scale plug-in electric vehicles (PHEVs)-penetrated power systems. Renew Sustain Energy Rev 16(3):1508–1515CrossRef
8.
Bessa RJ, Matos MA (2012) Economic and technical management of an aggregation agent for electric vehicles: a literature survey. Eur Trans Electr Power 22(3):334–350CrossRef
9.
Su W, Eichi H, Zeng W, Chow MY (2012) A survey on the electrification of transportation in a smart grid environment. IEEE Trans Ind Inf 8(1):1–10CrossRef
10.
Quinn C, Zimmerle D, Bradley TH (2010) The effect of communication architecture on the availability, reliability, and economics of plug-in hybrid electric vehicle-to-grid ancillary services. J Power Sources 195(5):1500–1509CrossRef
11.
Matta N, Rahim-Amoud R, Merghem-Boulahia L, Jrad A (2011) A cooperative aggregation-based architecture for vehicle-to-grid communications. Global information infrastructure symposium (GIIS), IEEE, pp 1–6
12.
Kim TT, Poor HV (2011) Strategic protection against data injection attacks on power grids. IEEE Trans Smart Grid 2(2):326–333
13.
Sridhar S, Govindarasu M (2014) Model-based attack detection and mitigation for automatic generation control. IEEE Trans Smart Grid 5(2):580–591CrossRef
14.
Bou-Harb E, Fachkha C, Pourzandi M, Debbabi M, Assi C (2013) Communication security for smart grid distribution networks. IEEE Commun Mag 51(1):42–49CrossRef
15.
Chaudhry H, Bohn T (2012) Security concerns of a plug-in vehicle. In: Innovative smart grid technologies (ISGT), 2012 IEEE PES, IEEE, pp 1–6
16.
Hoppe T, Dittman J (2007) Sniffing/replay attacks on CAN buses: a simulated attack on the electric window lift classified using an adapted CERT taxonomy. In: Proceedings of the 2nd workshop on embedded systems security (WESS)
17.
Hoppe T, Kiltz S, Dittmann J (2008) Security threats to automotive CAN networks–practical examples and selected short-term countermeasures. In: Computer safety, reliability, and security. Springer, Berlin, Heidelberg, pp 235–248
18.
Kleberger P, Olovsson T, Jonsson E (2011) Security aspects of the in-vehicle network in the connected car. Intelligent vehicles symposium (IV), 2011, IEEE, pp 528–533
19.
Arvani A, Rao VS (2014) Detection and protection against intrusions on smart grid systems. Int J Cyber Secur Digit Forensics 3(1):38–48
20.
Renk R, Saganowski L, Hołubowicz W, Choraś M (2008) Intrusion detection system based on matching pursuit. Proc Intell Netw Intell Syst 213–216
21.
Abur A, Exposito AG (2004) Power system state estimation: theory and implementation. CRC Press, Boca Raton
22.
Kim SS, Reddy ALN, Vannucci M (2004) Detecting traffic anomalies using discrete wavelet transform. In: Information networking. Networking technologies for broadband and mobile networks, Springer, Berlin, Heidelberg, pp 951–961
23.
Hybrid Committee (2010) Use cases for communication between plug-in vehicles and the utility grid. SAE international, Detroit, Michigan, standard J2836/1, Jan 2010
24.
Hybrid Committee (2010) SAE electric vehicle and plug in hybrid electric vehicle conductive charge coupler. SAE international, Detroit, Michigan, standard J1772, Jan 2010
25.
IEEE standard for broadband over power line networks: medium access control and physical layer specifications (2010) IEEE Std 1901–2010, pp 1–1586
26.
Advanced encryption standard (AES) (2001) National Institute for Standards and Technology
27.
Chen PY, Cheng SM, Chen KC (2012) Smart attacks in smart grid communication networks. Commun Mag IEEE 50(8):24–29CrossRef
28.
29.
Mallat S (1999) A wavelet tour of signal processing. Academic Press, Waltham
30.
Chun-Lin L (2010) A tutorial of the wavelet transform. ed: NTUEE
31.
Kim SS, AL Narasimha Reddy, Vannucci M (eds) (2004) Detecting traffic anomalies using discrete wavelet transform. In: Information networking. Networking technologies for broadband and mobile networks. Springer, Berlin, Heidelberg, pp 951–961
32.
Norouzi H, Abedi S, Jamalzadeh R, Rad MG, Hosseinian SH (2014) Modeling and investigation of harmonic losses in optimal power flow and power system locational marginal pricing. Energy 68:140–147CrossRef
33.
Padhy NP (2004) Unit commitment-a bibliographical survey. IEEE Trans Power Syst 19(2):1196–1205
34.
Abedi S, Riahy GH, Hosseinian SH, Alimardani A (2011) Risk-constrained unit commitment of power system incorporating PV and wind farms. ISRN Renew Energy 2011:8
35.
Saber AY, Venayagamoorthy GK (2010) Intelligent unit commitment with vehicle-to-grid—a cost-emission optimization. J Power Sources 195:898–911CrossRef
36.
Damousis IG, Bakirtzis AG, Dokopoulos PS (2004) A solution to the unit-commitment problem using integer-coded genetic algorithm. IEEE Trans Power Syst 19(2):1165–1172CrossRef
37.
Kazarlis SA, Bakirtzis A, Petridis V (1996) A genetic algorithm solution to the unit commitment problem. IEEE Trans Power Syst 11:83–92CrossRef
38.
Carrión M, Arroyo JM (2006) A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem. IEEE Trans Power Syst 21:1371–1378CrossRef
39.
City of Livermore (2006) Downtown parking study. Livermore, CA
40.
Gonzalez F, Dasgupta D, Kozma R (2002) Combining negative selection and classification techniques for anomaly detection. In: CEC’02: Proceedings of the 2002 Congress on evolutionary computation, 2002, vol 1. IEEE, Piscataway, pp 705–710
Metadata
Title
Cyber Security of Plug-in Electric Vehicles in Smart Grids: Application of Intrusion Detection Methods
Authors
Sajjad Abedi
Ata Arvani
Reza Jamalzadeh
Copyright Year
2015
Publisher
Springer Singapore
Book
Plug In Electric Vehicles in Smart Grids

Print ISBN: 978-981-287-298-2

Electronic ISBN: 978-981-287-299-9

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-981-287-299-9_5

Premium Partner

    Image Credits