Skip to main content

Application of the Wald Sequential Procedure in Automatic Network Control with Distributed Generation

  • Conference paper
  • First Online:
Software Engineering Perspectives in Intelligent Systems (CoMeSySo 2020)

Abstract

Information is presented on the current situation and prospects for integration of distributed generation (DG) and microgeneration facilities into distribution networks. The features of networks with DG objects are considered. The aspects that create significant difficulties for visual recognition and manual control of network modes are given. The necessity of creating automation systems for control of normal and emergency modes, which has the functions of recognizing the membership of the current mode in various mode areas, is substantiated. Also, the need to adapt algorithms and settings to the circuit-mode conditions is shown. It is shown that this problem should be solved at a fundamentally new scientific and technological level, using modern software and hardware systems that implement specialized control algorithms. The advantages of applying the Wald sequential procedure to recognize the current mode under conditions of decreasing frequency, transients, non-sinusoidality of currents and voltages, leading to large errors in the estimation of their parameters, are presented. It is proved that ensuring guaranteed high-speed performance of automatic control devices of modes is possible due to the introduction of a truncation algorithm for sequential analysis. An example of correct decision-making by a frequency unloading automation device in the “island mode” of operation of a distribution network with DG and microgeneration facilities based on the Wald procedure is given. This occurred in conditions of ambiguous frequency measurements and the presence of distorting factors. The authors’ recommendations on the application of the Wald sequential procedure for the implementation of relay protection and emergency automation devices in modes accompanied by complex transient processes are presented.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Similar content being viewed by others

References

  1. Buchholz, B.M., Styczynski, Z.: Smart Grids – Fundamentals and Technologies in Electricity Networks. Springer, Heidelberg (2014)

    Book  Google Scholar 

  2. Kakran, S., Chanana, S.: Smart operations of smart grids integrated with distributed generation: a review. Renew. Sustain. Energy Rev. 81(1), 524–535 (2018)

    Article  Google Scholar 

  3. Ilyushin, P.V., Sukhanov, O.A.: The structure of emergency-management systems of distribution networks in large cities. Russ. Electr. Eng. 85(3), 133–137 (2014)

    Article  Google Scholar 

  4. Ilyushin, P.V.: Analysis of the specifics of selecting relay protection and automatic (RPA) equipment in distributed networks with auxiliary low-power generating facilities. Power Technol. Eng. 51(6), 713–718 (2018)

    Article  Google Scholar 

  5. Ilyushin, P.V., Kulikov, A.L., Filippov, S.P.: Adaptive algorithm for automated undervoltage protection of industrial power districts with distributed generation facilities. In: International Russian Automation Conference (RusAutoCon), pp. 1–6. IEEE, Sochi (2019)

    Google Scholar 

  6. Loskutov, A.A., Mitrovic, M., Pelevin, P.S.: Development of the logical part of the intellectual multi-parameter relay protection. In: Rudenko International Conference on Methodological Problems in Reliability Study of Large Energy Systems, RSES, vol. 139. EDP Sciences, Tashkent (2019)

    Google Scholar 

  7. Kulikov, A.L., Loskutov, A.A., Mitrovic, M.: Method of automated synthesis of the logic part of relay protection device which increases its sensitivity. In: IOP Conference Series: Materials Science and Engineering, vol. 643, p. 012124 (2019)

    Google Scholar 

  8. Ilyushin, P.V., Suslov, K.V.: Operation of automatic transfer switches in the networks with distributed generation. In: IEEE Milan PowerTech, pp. 1–6. IEEE, Milan (2019)

    Google Scholar 

  9. Ilyushin, P.V., Filippov, S.P.: Under-frequency load shedding strategies for power districts with distributed generation. In: International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM, pp. 1–5. IEEE, Sochi (2019)

    Google Scholar 

  10. Yurevich, Ye.N.: Theory of Automatic Control. Energiya, Leningrad, USSR (1975)

    Google Scholar 

  11. Sidorenko, Yu.A.: Theory of Automatic Control. BGATU, Minsk, Belarus (2007)

    Google Scholar 

  12. Yevsyukov, V.N.: Nonlinear automatic control systems: a textbook for university students. GOU OGU, Orenburg, Russia (2007)

    Google Scholar 

  13. Davarifar, M., Rabhi, A., Hajjaji, A., Daneshifar, Z.: Real-time diagnosis of PV system by using the sequential probability ratio test (SPRT). In: 16th International Power Electronics and Motion Control Conference and Exposition, pp. 508–513. IEEE, Antalya (2014)

    Google Scholar 

  14. Radio-electronic systems: Fundamentals of construction and theory, 2nd ed. Radiotekhnika, Moscow, Russia (2007)

    Google Scholar 

  15. Wald, A.: Sequential analysis. Fizmatlit, Moscow, USSR (1960)

    Google Scholar 

  16. Sharygin, M.V., Kulikov, A.L.: Protection and automation of power supply systems with active industrial consumers. NIU RANKhiGS, Nizhny Novgorod, Russia (2017)

    Google Scholar 

  17. Sharygin, M.V., Kulikov, A.L.: Statistical methods for recognizing modes in relay protection and automation of power supply networks. Elektricheskiye stantsii 2, 32–39 (2018)

    Google Scholar 

  18. Fukunaga, K.: Introduction to the statistical theory of pattern recognition. Nauka, Moscow, USSR (1979)

    Google Scholar 

  19. Fu, K.: Sequential methods in pattern recognition and machine learning. Nauka, Moscow, USSR (1971)

    Google Scholar 

  20. Shiryayev, A.N.: Statistical sequential analysis. Optimal stop rules. Nauka, Moscow, USSR (1976)

    Google Scholar 

  21. Basharinov, A.Ye., Fleyshman, B.S.: Statistical sequential analysis methods and their radio engineering applications. Sovetskoye radio, Moscow, USSR (1962)

    Google Scholar 

  22. Sochman, J., Matas, J.: Waldboost-learning for time constrained sequential detection. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), vol. 2, pp. 150–156. IEEE, San Diego (2005)

    Google Scholar 

  23. Lorden, G.: Structure of sequential tests minimizing an expected sample size. Zeitschrift fur Wahrscheinlichkeits-theorie undverwandte gebiete 51(3), 291–302 (1980)

    Google Scholar 

  24. Ayvazyan, S.A.: Distinguishing close hypotheses about the form of distribution density in the scheme of a generalized sequential criterion. Theory of Probability and its Applications (1965)

    Google Scholar 

Download references

Acknowledgement

The presented research results were obtained with the support of a grant from the President of the Russian Federation for state support of young Russian scientists (MK-3210.2019.8). Agreement No. 075-15-2019-337 of 11.06.2019.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Loskutov Anton .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pavel, I., Aleksandr, K., Anton, L. (2020). Application of the Wald Sequential Procedure in Automatic Network Control with Distributed Generation. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives in Intelligent Systems. CoMeSySo 2020. Advances in Intelligent Systems and Computing, vol 1295. Springer, Cham. https://doi.org/10.1007/978-3-030-63319-6_11

Download citation

Publish with us

Policies and ethics