Skip to main content

Why Dealing with Electrical Faults for Smart Microgrid is not Enough?

  • Conference paper
  • First Online:
Science and Technologies for Smart Cities (SmartCity 360 2021)

Abstract

With increasing use of Information and Communication Technologies (ICT) in smart grids, the need to study the faults induced by software and communication systems is important towards realizing stable operation of microgrids. Since the effect of faults in the electrical, communication and software systems is different, the impact of these faults in each other system, the knowledge of their effects and causes is necessary to design appropriate recovery actions. In this paper, we study the faults and their impact on the microgrids. We emphasize on the necessity of software and communication fault handling in order to create resilient microgrids. This paper highlights the effects of software and communication faults on electrical system and vice-versa. A detailed study of the commonly occurring faults in a microgrid and their cascading effects is presented. Towards this a cause-and-effect analysis of the commonly occurring faults on the performance of the microgrid is carried out. Finally, we identify potential research areas where the fault handling approaches can be included and improved to make the microgrid more resilient.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Guardian, T.: Millions across South America hit by massive power cut (2019). https://www.theguardian.com/world/2019/jun/16/millions-across-south-america-hit-by-massive-power-cut-argentina-uruguay-paraguay-brazil

  2. IEEE Power and Energy Society. IEEE Standard for the Specification of Microgrid Controllers, IEEE STD 2030.7-2017. IEEE (2017)

    Google Scholar 

  3. Dinkel, M., Stesny, S., Baumgarten, U.: Interactive self-healing for black-box components in distributed embedded environments. In: 2007 ITG-GI Conference on Communication in Distributed Systems (KiVS), pp. 1–12 (2007)

    Google Scholar 

  4. Friedman, A.: Diagnosis of short-circuit faults in combinational circuits. IEEE Trans. Comput. 100, 746–752 (1974)

    Article  Google Scholar 

  5. Zubrow, D., Baldwin, M.: IEEE Guide to Classification for Software Anomalies. IEEE STD 1044.1-1995, p. i (1996)

    Google Scholar 

  6. Parandehgheibi, M., Turitsyn, K., Modiano, E.: Modeling the impact of communication loss on the power grid under emergency control. In: 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 356–361 (2015)

    Google Scholar 

  7. Ferc, N.: Arizona-southern California outages on 8 September 2011: causes and recommendations. FERC and NERC (2012)

    Google Scholar 

  8. Avizienis, A., Laprie, J., Randell, B.: Fundamental concepts of dependability. University of Newcastle upon Tyne, Computing Science (2001)

    Google Scholar 

  9. Lasseter, R.: Microgrids. In: 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No. 02CH37309), vol. 1, pp. 305–308 (2002)

    Google Scholar 

  10. Wang, Y., Zhang, Z., Fu, Y., Hei, Y., Zhang, X.: Pole-to-ground fault analysis in transmission line of DC grids based on VSC. In: 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), pp. 2028–2032 (2016)

    Google Scholar 

  11. Laaksonen, H., Kauhaniemi, K.: Fault type and location detection in islanded microgrid with different control methods based converters. In: 19th International Conference on Electricity Distribution (CIRED), Vienna, Austria (2007)

    Google Scholar 

  12. Nikkhajoei, H., Lasseter, R.: Microgrid fault protection based on symmetrical and differential current components. In: Power System Engineering Research Center, pp. 71–74 (2006)

    Google Scholar 

  13. Zhou, Y., Xu, G., Chen, Y.: Fault location in power electrical traction line system. Energies 5, 5002–5018 (2012)

    Article  Google Scholar 

  14. Hong, Y., Wei, Y., Chang, Y., Lee, Y., Liu, P.: Fault detection and location by static switches in microgrids using wavelet transform and adaptive network-based fuzzy inference system. Energies 7, 2658–2675 (2014)

    Article  Google Scholar 

  15. Sadeghkhani, I., Golshan, M., Guerrero, J., Mehrizi-Sani, A.: A current limiting strategy to improve fault ride-through of inverter interfaced autonomous microgrids. IEEE Trans. Smart Grid 8, 2138–2148 (2017)

    Article  Google Scholar 

  16. Krings, A., Ma, Z.: Fault-models in wireless communication: towards survivable ad hoc networks. In: MILCOM 2006–2006 IEEE Military Communications Conference, pp. 1–7 (2006)

    Google Scholar 

  17. Thambidurai, P., Park, Y.: Interactive consistency with multiple failure modes. In: Proceedings [1988] Seventh Symposium on Reliable Distributed Systems, pp. 93–100 (1988)

    Google Scholar 

  18. Eder-Neuhauser, P., Zseby, T., Fabini, J., Vormayr, G.: Cyber attack models for smart grid environments. Sustain. Energy Grids Netw. 12, 10–29 (2017)

    Article  Google Scholar 

  19. Chen, B., Mashayekh, S., Butler-Purry, K., Kundur, D.: Impact of cyber attacks on transient stability of smart grids with voltage support devices. In: 2013 IEEE Power and Energy Society General Meeting, pp. 1–5 (2013)

    Google Scholar 

  20. Li, S., Yılmaz, Y., Wang, X.: Quickest detection of false data injection attack in wide-area smart grids. IEEE Trans. Smart Grid 6, 2725–2735 (2014)

    Article  Google Scholar 

  21. Sommerville, I.: Software Engineering. Addison-Wesley, New York (2010)

    Google Scholar 

  22. Electrical Safety. Arc Fault Detection Devices reduce the risk of electrical fire (2019). https://www.se.com/in/en/home/renovation/home-protection.jsp

  23. Electrical Safety. Surge protection devices: your best defence (2019). https://www.se.com/in/en/home/renovation/electronic-equipment-protection.jsp

  24. Electrical Safety. Protect your family with Residual Current Devices (2019). https://www.se.com/in/en/home/renovation/people-protection.jsp

  25. Electrical Safety. Circuit Breakers and Switches (2019). https://www.se.com/ww/en/product-category/4200-circuit-breakers-and-switches/

  26. Generator System. Working Principle of Automatic Voltage Regulator (2019). https://medium.com/@dieselgenerator/working-principle-of-automatic-voltage-regulator-1ff1275f5495

  27. Khandare, P., Deokar, S., Dixit, A.: Advanced technique in micro grid protection for various fault by using numerical relay. In: 2017 2nd International Conference for Convergence in Technology (I2CT), pp. 803–807 (2017)

    Google Scholar 

  28. Pilaquinga, D., Pozo, M.: Novel protection schema for a radial microgrid system. In: 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), pp. 1–6 (2017)

    Google Scholar 

  29. Thattai, K., Sahoo, A., Ravishankar, J.: On-line and off-line fault detection techniques for inverter based islanded microgrid. In: 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018), pp. 1–6 (2018)

    Google Scholar 

  30. Clark, D.: The design philosophy of the DARPA Internet protocols. In: Symposium Proceedings on Communications Architectures and Protocols, pp. 106–114 (1988)

    Google Scholar 

  31. Gupta, A., Rothermel, K.: Fault handling for multi-party real-time communication. In: ICSI (1995)

    Google Scholar 

  32. Danzi, P., Angjelichinoski, M., Stefanović, Č, Dragičević, T., Popovski, P.: Software-defined microgrid control for resilience against denial-of-service attacks. IEEE Trans. Smart Grid 10, 5258–5268 (2018)

    Article  Google Scholar 

  33. Medeiros, R., Cirne, W., Brasileiro, F., Sauvé, J.: Faults in grids: why are they so bad and what can be done about it? In: Proceedings. First Latin American Web Congress, pp. 18–24 (2003)

    Google Scholar 

  34. Kephart, J., Chess, D.: The vision of autonomic computing. Computer 36, 41–50 (2003)

    Article  Google Scholar 

  35. Laster, S., Olatunji, A.: Autonomic computing: towards a self-healing system. In: Proceedings of the Spring, pp. 62–78 (2007)

    Google Scholar 

  36. Nelson, V.: Fault-tolerant computing: fundamental concepts. Computer 23, 19–25 (1990)

    Article  Google Scholar 

  37. Ericson, C., et al.: Hazard Analysis Techniques for System Safety. Wiley, Hoboken (2015)

    Google Scholar 

  38. Koren, I., Krishna, C.: Fault-Tolerant Systems. Morgan Kaufmann, Burlington (2010)

    MATH  Google Scholar 

  39. Lyu, M., et al.: Handbook of Software Reliability Engineering. IEEE Computer Society Press, California (1996)

    Google Scholar 

  40. Avižienis, A., Laprie, J.-C., Randell, B.: Dependability and its threats: a taxonomy. In: Jacquart, R. (ed.) Building the Information Society. IIFIP, vol. 156, pp. 91–120. Springer, Boston, MA (2004). https://doi.org/10.1007/978-1-4020-8157-6_13

    Chapter  Google Scholar 

  41. Hwang, I., Kim, S., Kim, Y., Seah, C.: A survey of fault detection, isolation, and reconfiguration methods. IEEE Trans. Control Syst. Technol. 18, 636–653 (2010)

    Article  Google Scholar 

  42. Alwash, S., Ramachandaramurthy, V.: Novel fault-location method for overhead electrical distribution systems. IEEJ Trans. Electr. Electron. Eng. 8, S13–S19 (2013)

    Google Scholar 

  43. Kezunovic, M.: Smart fault location for smart grids. IEEE Trans. Smart Grid 2, 11–22 (2011)

    Article  Google Scholar 

  44. Paradkar, A.: Case studies on fault detection effectiveness of model based test generation techniques. ACM SIGSOFT Softw. Eng. Notes 30, 1–7 (2005)

    Article  Google Scholar 

  45. Hall, T., Beecham, S., Bowes, D., Gray, D., Counsell, S.: A systematic literature review on fault prediction performance in software engineering. IEEE Trans. Software Eng. 38, 1276–1304 (2012)

    Article  Google Scholar 

  46. Pereira, E., Pereira, R.: Fault monitoring and detection of distributed services over local and wide area networks. In: 12th International Conference on Parallel and Distributed Systems, ICPADS 2006, vol. 2 (2006)

    Google Scholar 

  47. Krings, A., Ma, Z.: Fault-models in wireless communication: towards survivable ad hoc networks. In: Military Communications Conference, MILCOM 2006, pp. 1–7. IEEE (2006)

    Google Scholar 

  48. Ishikawa, K., Ishikawa, K.: Guide to quality control. Asian Productivity Organization Tokyo (1982)

    Google Scholar 

  49. McArthur, S., et al.: Multi-agent systems for power engineering applications-Part I: concepts, approaches, and technical challenges. IEEE Trans. Power Syst. 22, 1743–1752 (2007)

    Article  Google Scholar 

  50. Zhabelova, G.: Software architecture and design methodology for distributed agent-based automation of smart grid. University of Auckland (2014)

    Google Scholar 

  51. Howell, S., Rezgui, Y., Hippolyte, J., Jayan, B., Li, H.: Towards the next generation of smart grids: semantic and holonic multi-agent management of distributed energy resources. Renew. Sustain. Energy Rev. 77, 193–214 (2017)

    Article  Google Scholar 

  52. Brazier, F., et al.: Agents negotiating for load balancing of electricity use. In: Proceedings. 18th International Conference on Distributed Computing Systems (Cat. No. 98CB36183), pp. 622–629 (1998)

    Google Scholar 

  53. Vytelingum, P., Voice, T., Ramchurn, S., Rogers, A., Jennings, N.: Agent-based micro-storage management for the smart grid (2010)

    Google Scholar 

  54. Gupta, P., Gibtner, A., Duchon, M., Koss, D., Schätz, B.: Using knowledge discovery for autonomous decision making in smart grid nodes. In: 2015 IEEE International Conference on Industrial Technology (ICIT), pp. 3134–3139 (2015)

    Google Scholar 

  55. Gupta, P., Duchon, M.: Developing self-similar hybrid control architecture based on SGAM-based methodology for distributed microgrids. Designs 2, 41 (2018)

    Article  Google Scholar 

  56. Zhabelova, G., Vyatkin, V., Dubinin, V.: Toward industrially usable agent technology for smart grid automation. IEEE Trans. Industr. Electron. 62, 2629–2641 (2014)

    Article  Google Scholar 

  57. Ramesh, A., Karthikeyan, P., Padmanaban, S., Balasubramanian, S., Guerrero, J.: A Bibliographical Survey on Software Architectures for Smart Grid System. Preprints (2018)

    Google Scholar 

  58. Haqiq, A., Bounabat, B.: Towards integration of fault tolerance in agent-based systems. Procedia Comput. Sci. 127, 264–273 (2018)

    Article  Google Scholar 

  59. Haegg, S.: A sentinel approach to fault handling in multi-agent systems. In: Australian Workshop on Distributed Artificial Intelligence, pp. 181–195 (1996)

    Google Scholar 

  60. Tomoiagă, B., Chindriş, M., Sumper, A., Sudria-Andreu, A., Villafafila-Robles, R.: Pareto optimal reconfiguration of power distribution systems using a genetic algorithm based on NSGA-II. Energies 6, 1439–1455 (2013)

    Article  Google Scholar 

  61. Ebrahimi Moghadam, M., Falaghi, H., Farhadi, M.: A novel method of optimal capacitor placement in the presence of harmonics for power distribution network using NSGA-II multi-objective genetic optimization algorithm. Math. Comput. Appl. 25, 17 (2020)

    MathSciNet  Google Scholar 

  62. Gao, Y., Shi, J., Wang, W., Yu, N.: Dynamic distribution network reconfiguration using reinforcement learning. In: 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp. 1–7 (2019)

    Google Scholar 

  63. Yang, Q., Wang, G., Sadeghi, A., Giannakis, G., Sun, J.: Two-timescale voltage control in distribution grids using deep reinforcement learning. IEEE Trans. Smart Grid 11, 2313–2323 (2019)

    Article  Google Scholar 

Download references

Acknowledgement

The authors would like to thank Dr. Markus Duchon, Dr. Maneesha V Ramesh, Dr. Aryadevi R D, Mr. Sudharsan V C and Shri Mata Amritanandamayi Devi for supporting the research work. This work was partly done under the Project “Smart Services and Optimization for Microgrids (SSOM)” in the scheme of Project-based Personnel Exchange Program with Indo-German (DST-DAAD) Joint Research Collaboration.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Venkatesh Pampana .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gupta, P.K., Narayanan Babu, S.S., Mohandas Sheeladevi, A., Pampana, V. (2022). Why Dealing with Electrical Faults for Smart Microgrid is not Enough?. In: Paiva, S., et al. Science and Technologies for Smart Cities. SmartCity 360 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-031-06371-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06371-8_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06370-1

  • Online ISBN: 978-3-031-06371-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics