ORGANIZATION OF THE ELECTRIC NETWORK OF THE HYBRID POWER SUPPLY SYSTEM OF AUTONOMOUS UNDERWATER VEHICLE

  • N.K. Kiselev JSC Central Design Bureau Lazurit
  • L.A. Martynova JSC CSRI Elektropribor
  • I.V. Pashkevich JSC CSRI Elektropribor
Keywords: Autonomous underwater vehicle, a hybrid power supply system, organization of an electrical network, movement in a wide range of speeds

Abstract

The aim of the study is to organize the power grid of a hybrid power supply system for an autonomous
underwater vehicle capable of moving in a wide range of speeds. The need to move the
autonomous underwater vehicle in a wide range of speeds requires the use of heterogeneous sources
of electricity operating on different physical principles - storage batteries and electrochemical generators
using reagents from the reagent storage. In addition, in order to provide consumers with
electricity with the required parameters (currents, voltages, volumes of electricity), it is necessary to
use additional switchboards, voltage converters, protective switching equipment, keys. The use of
additional equipment in the power grid allows you to flexibly configure the power grid in order to
generate energy in an amount consistent with the amount of electricity consumed. On the other hand,
additional equipment causes losses of electricity in the network, and, accordingly, additional electricity.
In this regard, the task of determining the option for organizing the power grid, at which the loss
of electricity would be minimal, is relevant. To solve this problem, the features of the use of additional
equipment in the power grid were analyzed, the consumption of electricity by an autonomous underwater
vehicle at different stages of a route assignment was analyzed, the minimum and maximum
volumes of consumption were determined when an autonomous underwater vehicle moved in different
speed modes. This made it possible to determine the degree of involvement of heterogeneous
sources of electricity in the process of performing a route assignment. Based on the results of the
analysis, alternative options for the power grid were formed. To select the option of the organization
that ensures the minimum losses of electricity, a target graph of the effect of losses on individual
devices of the power grid was formed - on the losses of the entire power grid, and using the method of
distributing tags, quantitative estimates of each of the alternative options were obtained. Teaching
quantitative assessments made it possible to determine the option of organizing an electrical network
that minimizes losses. This allows, in turn, to formulate the requirements for the functioning of the
elements of the hybrid power supply system, to develop control algorithms. In general, the result
obtained makes it possible to minimize the consumption of energy resources during the movement of
an autonomous underwater vehicle throughout the entire duration of the route assignment.

References

1. Appolonov E.M., Bachurin A.A., Gorokhov A.I., Ponomarev L.O. O vozmozhnosti i
neobkhodimosti sozdaniya sverkhbol'shogo neobitaemogo podvodnogo apparata [On the possibility
and necessity of creating an extra-large unmanned underwater vehicle], Sb. materialov
XIII Vserossiyskoy nauchno-prakticheskoy konferentsii «Perspektivnye sistemy i zadachi
upravleniya» [Sb. materials of the XIII All-Russian scientific-practical conference "Perspective
systems and management tasks"]. Rostov-on-Don – Taganrog: YuFU, 2018, pp. 34-42.
2. Martynova L.A., Kiselev N.K., Bezruk G.G. Effektivnoe upravlenie gibridnoy sistemoy
generatsii i raspredeleniya elektroenergii pri dvizhenii avtonomnogo neobitaemogo
podvodnogo apparata [Effective control of a hybrid system of generation and distribution of
electricity during the movement of an autonomous unmanned underwater vehicle], Problemy
upravleniya [Control problems], 2020, No. 4, pp. 70-80.
3. Idel'chik V.I. Elektricheskie sistemy i seti: uchebnik dlya VUZov [Electrical systems and networks.
Uch. for universities]. Moscow: Energoatomizdat, 1989, 952 p.
4. Martynyuk M.V. Modeli i algoritmy intellektual'nogo upravleniya parametrami
reguliruyushchikh ustroystv v tsifrovykh elektrosetyakh: diss. … kand. tekh. nauk [Models and
algorithms for intelligent control of the parameters of regulating devices in digital power grids:
cand. of eng. sc. diss.]. Nizhniy Novgorod, 2019, 190 p.
5. Chung L., Nixon B.A., Yu E., Mylopoulos J. Non-Functional Requirements in Software Engineering.
Available at: https://www.springer.com/gp/book/9780792386667 (accessed 25 January 2021).
6. Martynova L.A. Matematicheskaya model' gibridnoy sistemy energoobespecheniya
avtonomnogo neobitaemogo podvodnogo apparata bol'shoy dal'nosti [Mathematical model of a
hybrid power supply system for a long-range autonomous unmanned underwater vehicle],
Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2019, No. 1
(203), pp. 223-238.
7. Kiselev N.K., Martynova L.A., Pashkevich I.V. Matematicheskaya model' funktsionirovaniya
gibridnoy sistemy energoobespecheniya v sostave stenda otladki i soprovozhdeniya ANPA //
Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2020, No. 1
(211), pp. 170-187.
8. Innocenti Badano B.M. A multi-agent architecture with distribution for an autonomous robot.
Available at: URL: https://www.tdx.cat/bitstream/handle/10803/7749/Tbi1de1.pdf;sequence=1
(accessed 25 January 2021).
9. Buzun N., Korshunov A. Innovative methods and measures in overlapping community detection.
Available at: http://ceur-ws.org/Vol-870/paper_3.pdf (accessed 25 January 2021).
10. Malewicz G., Austern M. H., C Bik A. J., Dehnert J. C., Horn I., Leiser N., Czajkowski G.
Pregel: a system for large-scale graph processing, In Proceedings of the 2010 ACM SIGMOD
International Conference on Management of data (SIGMOD ’10). ACM: New York, NY, USA,
2010, pp. 135-146.
11. Giorgini P., Mylopoulos J., Nicchiarelli E., Sebastiani R. Reasoning with goal models, In Proceedings
of the 21st International Conference on Conceptual Modeling (ER 2002). Tampere,
Finland. 2002, pp. 1-15. Available at: http://disi.unitn.it/~pgiorgio/papers/er02.pdf.
12. Kolp M., Giorgini P., Mylopoulos J. Multi-agent Architectures as Organizational Structures. Available
at: https://link.springer.com/article/10.1007/s10458-006-5717-6 (accessed 25 January 2021).
13. Kolp M., Giorgini P., Mylopoulos J. A Goal-Based Organizational Perspective on Multi-
Agents Architectures, InProceedings of the 8th international workshop on intelligent agents:
Agent theories architectures and languages, ATAL’01, Seattle, USA. 2001. Available at:
http://www.troposproject.eu/files/atalfinal.pdf.
14. Chung L., Cesar J. do Prado Leite. On Non-Functional Requirements in Software Engineering.
In book: Conceptual Modeling: Foundations and Applications. Publisher: Springer Berlin.
Heidelberg, pp. 363-379. Doi: 10.1007/978-3-642-02463-4_19. Available at: http://wwwdi.
inf.puc-rio.br/~julio/nfr-chung-leite.pdf.
15. Giorgini P., Kolp M., Mylopoulos J. Multi-agent architectures as organizational structures,
Autonomous Agent and Multi-Agent Systems, 2006, 13:1-2. Available at:
https://link.springer.com/article/10.1007/s10458-006-5717-6.
16. Martynova L.A. Mul'tiagentnye tekhnologii v morskoy robototekhnike [Multiagent technologies
in marine robotics], International Conference on Marine Robotics in Ocean Exploration,
MarineRobotics2019, September 17-19, Saint-Petersburg, Russia, pp. 278-291.
17. Martynova L.A. Vybor mul'tiagentnoy arkhitektury pri razrabotke sistemy upravleniya
avtonomnogo neobitaemogo podvodnogo apparata [The choice of multi-agent architecture in
the development of a control system for an autonomous unmanned underwater vehicle], Mater.
XII mul'tikonferentsii po problemam upravleniya (MKPU-2019), Divnomorskoe Gelendzhik,
23-28 sentyabrya 2019 g. [Materials of the XII multiconference on control problems (MKPU-
2019), Divnomorskoe Gelendzhik, September 23-28, 2019]]. In 4 vol. Vol. 2. Rostov-on-Don,
Taganrog: Izd-vo YuFU, 2019, pp. 86-88.
18. Martynova L.A. Vybor mul'tiagentnoy arkhitektury pri razrabotke sistemy upravleniya
avtonomnogo neobitaemogo podvodnogo apparata [The choice of multi-agent architecture in the
development of a control system for an autonomous unmanned underwater vehicle] Izvestiya YuFU.
Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2019, No. 7 (209), pp. 18-35.
19. Kiselev N.K., Martynova L.A. Razrabotka effektivnoy gibridnoy sistemy generatsii i
raspredeleniya elektroenergii avtonomnogo neobitaemogo podvodnogo apparata [Development
of an effective hybrid system for the generation and distribution of electricity for an autonomous,
uninhabited underwater vehicle], Mater. konferentsii «Upravlenie v morskikh
sistemakh» (UMS-2020) [Materials of the conference "Management in marine systems"
(UMS-2020)], pp. 53-56.
20. Martynova L.A., Kiselev N.K., Myslivyy A.A. Metod vybora arkhitektury mul'tiagentnoy
sistemy upravleniya avtonomnogo neobitaemogo podvodnogo apparata [A method for choosing
the architecture of a multi-agent control system for an autonomous unmanned underwater
vehicle], Informatsionno-upravlyayushchie sistemy [Information and control systems], 2020,
No. 4 (107), pp. 31-41.
21. Zhu X., Ghahramani Z. Learning from labeled and unlabeled data with label propagation. Technical
report, Technical Report CMU-CALD-02-107, Carnegie Mellon University, 2002. Available at:
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.14.3864&rep=rep1&type=pdf
Published
2021-04-04
Section
SECTION III. POWER ENGINEERING SYSTEMS, DRIVE AND SENSOR EQUIPMENT