Assess electricity quality by means of fuzzy generalized index
DOI:
https://doi.org/10.15587/1729-4061.2015.42484Keywords:
electricity quality, load type, fuzzy sets, integral indexAbstract
Most of branching and length of distribution networks, unstable and heterogeneous nature of the load, low observability of electric networks, lack of information about the topology and load during the period of time do not allow the operating personnel to obtain reliable values of quality of electric energy and therefore accurately determine the degree of influence of poor electricity on the mode of operation, the service life of specific groups of consumers. The uncertainty of the initial information needs to be revealed. The existing calculation methods are mainly deterministic and do not allow to take into account the uncertainty of the initial information.
To accomplish this task are invited to submit indicators of quality of electric energy in the form of triangular fuzzy numbers and quality standards – in the form of trapezoidal fuzzy intervals. Fuzzy quality score is determined based on the processing of measurement results, and the fuzzy quality standards are based on the permissible range given in the regulations. The degree of conformity of fuzzy values of the fuzzy index of electricity quality standards proposed for the area to assess the figure formed by the intersection of the membership function.
Considering the characteristics of the individual groups of loads , it is proposed to assess the quality of electricity for these groups separately by fuzzy integral indicator.
Expressions are given for the determination of the integral indexes of electricity quality for different types of loads. In particular, we present integrated indexes of electricity quality unbalance and for non-sinusoidal motor, lighting load, and devices with a microprocessor control unit. The importance of these results is that the first time it is possible to improve information quality assessment of electricity in the uncertainty of the initial information. And, most importantly, if you know the type of load, it is possible to consider only the quality parameters of electric energy, which adversely affect the operation of a particular electroreceivers.
References
- Elektricheskaya energiya (1997). Sovmestimost tehnicheskih sredstv elektromagnitnaya. Normyi kachestva elektricheskoy energii v sistemah elektrosnabzheniya obschego naznacheniya: GOST 13109–97. Moscow: Gosstandart RF, 33.
- Grib, O. G., Dovgalyuk, O. N., Omelyanenko, G. V. (2012). Otsenka velichinyi ekonomicheskogo uscherba ot snizheniya kachestva elektricheskoy energii v sistemah elektrosnabzheniya promyishlennyih predpriyatiy. Modern problems and ways of their solution in science, transport, production and education ‘2012/SWorld. Available at: http://www.sworld.com.ua/index.php/ru/conference/the-content-of-conferences/archives-of-individual-conferences/december-2012
- Kuznetsov, V. G., Shpolyanskiy, O. G., Yaremchuk, N. A. (2011). Uzagalneniy pokaznik yakosti energiyi v elektrichnih merezhah i sistemah. Tehnichna elektrodinamika, 3, 46–52.
- Guide to the Expression of Uncertainty in Measurement (1993). First Edition, ISO, Switzerland, 101.
- Tsidelko, V. D., Yaremchuk, N. A. (2002). Neviznachenist vimiryuvannya. Obrobka danih i podannya rezultatu vimiryuvannya. Monografiya. Kyiv: PolItehnIka, 176.
- Mauris, G., Berrah, L., Foulloy, L., Haurat, A. (2000). Fuzzy handling of measurement errors in instrumentation. IEEE Transaction and measurement, 1 (49), 43–58. doi: 10.1109/19.836316
- Altunin, A. E., Semuhin, M. V. (2003). Modeli i algoritmyi prinyatiya resheniy v nechetkih usloviyah. Monogr, Tyumen: Izd-vo Tyumen. gos. un-ta, 352.
- Pospelov, D. A. (Ed.) (1986). Nechetkie mnozhestva v modelyah upravleniya i iskusstvennogo intellekta. Moscow: Nauka, 312.
- Mauris, G., Lassere, V., Foulley, L. (2001). A fuzzy approach for the expression of uncertainty in measurement. Measurement, 29, 165–177. doi: 10.1016/s0263-2241(00)00036-1
- Miroshnik, A. A., Timchuk, S. A. (2014). Nesimmetrichnyie rezhimyi v selskih elektrosetyah: analiz i modelirovanie. Monografiya. Germaniya: LAP LAMBERT Academic Publishing, 139.
- Tymchuk, S. A., Miroshnyk, A. A. (2014). Quality assessment of power in distribution networks 0.38/0.22 kV in the fuzzy form. Global Science and Innovation. Materials of the II international scientific conference. Chicago, USA, II, 288–299.
- Timchuk, S. A., Miroshnik, A. A. (2015). Calculation of energy losses in relation to its quality in fuzzy form in rural distribution networks. Eastern-European Journal of Enterprise Technologies, 1/8 (73), 4–10. doi: 10.15587/1729-4061.2015.36003
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 Сергій Олександрович Тимчук, Oleksandr Miroshnyk
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.