IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i12p3428-d572370.html
   My bibliography  Save this article

A Comprehensive Risk Assessment Framework for Synchrophasor Communication Networks in a Smart Grid Cyber Physical System with a Case Study

Author

Listed:
  • Amitkumar V. Jha

    (School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India)

  • Bhargav Appasani

    (School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India)

  • Abu Nasar Ghazali

    (School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India)

  • Nicu Bizon

    (Faculty of Electronics, Communication and Computers, University of Pitesti, 110040 Pitesti, Romania
    ICSI Energy, National Research and Development Institute for Cryogenic and Isotopic Technologies, 240050 Ramnicu Valcea, Romania
    Development Institute for Cryogenic and Isotopic Technologies, 240050 Ramnicu Valcea, Romania
    Doctoral School, Polytechnic University of Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania)

Abstract

The smart grid (SG), which has revolutionized the power grid, is being further improved by using the burgeoning cyber physical system (CPS) technology. The conceptualization of SG using CPS, which is referred to as the smart grid cyber physical system (SGCPS), has gained a momentum with the synchrophasor measurements. The edifice of the synchrophasor system is its communication network referred to as a synchrophasor communication network (SCN), which is used to communicate the synchrophasor data from the sensors known as phasor measurement units (PMUs) to the control center known as the phasor data concentrator (PDC). However, the SCN is vulnerable to hardware and software failures that introduce risk. Thus, an appropriate risk assessment framework for the SCN is needed to alleviate the risk in the protection and control of the SGCPS. In this direction, a comprehensive risk assessment framework has been proposed in this article for three types of SCNs, namely: dedicated SCN, shared SCN and hybrid SCN in an SGCPS. The proposed framework uses hardware reliability as well as data reliability to evaluate the associated risk. A simplified hardware reliability model has been proposed for each of these networks, based on failure probability to assess risk associated with hardware failures. Furthermore, the packet delivery ratio (PDR) metric is considered for measuring risk associated with data reliability. To mimic practical shared and hybrid SCNs, the risk associated with data reliability is evaluated for different background traffics of 70%, 80% and 95% using 64 Kbps and 300 Kbps PMU data rates. The analytical results are meticulously validated by considering a case study of West Bengal’s (a state in India) power grid. With respect to the case study, different SCNs are designed and simulated using the QualNet network simulator. The simulations are performed for dedicated SCN, shared SCN and hybrid SCN with 64 Kbps and 300 Kbps PMU data rates. The simulation results are comprehensively analyzed for risk hedging of the proposed SCNs with data reliability and hardware reliability. To summarize, the mean risk with data reliability (RwDR) as compared to the mean risk with hardware reliability (RwHR) increases in shared SCN and hybrid SCN by a factor of 17.108 and 23.278, respectively. However, minimum RwDR increases in shared and hybrid SCN by a factor of 16.005 and 17.717, respectively, as compared to the corresponding minimum RwHR. The overall analysis reveals that the RwDR is minimum for dedicated SCN, moderate for shared SCN, and highest for hybrid SCN.

Suggested Citation

  • Amitkumar V. Jha & Bhargav Appasani & Abu Nasar Ghazali & Nicu Bizon, 2021. "A Comprehensive Risk Assessment Framework for Synchrophasor Communication Networks in a Smart Grid Cyber Physical System with a Case Study," Energies, MDPI, vol. 14(12), pages 1-20, June.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3428-:d:572370
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/12/3428/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/12/3428/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alvaro Llaria & Jessye Dos Santos & Guillaume Terrasson & Zina Boussaada & Christophe Merlo & Octavian Curea, 2021. "Intelligent Buildings in Smart Grids: A Survey on Security and Privacy Issues Related to Energy Management," Energies, MDPI, vol. 14(9), pages 1-37, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bhargav Appasani & Sunil Kumar Mishra & Amitkumar V. Jha & Santosh Kumar Mishra & Florentina Magda Enescu & Ioan Sorin Sorlei & Fernando Georgel Bîrleanu & Noureddine Takorabet & Phatiphat Thounthong , 2022. "Blockchain-Enabled Smart Grid Applications: Architecture, Challenges, and Solutions," Sustainability, MDPI, vol. 14(14), pages 1-33, July.
    2. Amitkumar V. Jha & Bhargav Appasani & Deepak Kumar Gupta & Bharati S. Ainapure & Nicu Bizon, 2023. "A Blockchain-Enabled Approach for Enhancing Synchrophasor Measurement in Smart Grid 3.0," Sustainability, MDPI, vol. 15(19), pages 1-20, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Felipe Condon & Patricia Franco & José M. Martínez & Ali M. Eltamaly & Young-Chon Kim & Mohamed A. Ahmed, 2023. "EnergyAuction: IoT-Blockchain Architecture for Local Peer-to-Peer Energy Trading in a Microgrid," Sustainability, MDPI, vol. 15(17), pages 1-28, September.
    2. Mohamed S. Abdalzaher & Mostafa M. Fouda & Mohamed I. Ibrahem, 2022. "Data Privacy Preservation and Security in Smart Metering Systems," Energies, MDPI, vol. 15(19), pages 1-19, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3428-:d:572370. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.