Methodical approaches to distribution of resources of an energy supplying company to reduce operational losses

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Authors:

N.I.Chukhrai, Dr. Sc. (Econ.), Prof., orcid.org/0000-0001-8591-2487, National University ‘L’viv Polytechnic’, Lviv, Ukraine, e‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.Z.Sorochak, Cand. Sc. (Tech.), Assoc. Prof., orcid.org/0000-0003-2889-9284, National University ‘L’viv Polytechnic’, Lviv, Ukraine, e‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

I.V.Bokhonko, Cand. Sc. (Econ.), orcid.org/0000-0001-9812-7592, National University ‘L’viv Polytechnic’, Lviv, Ukraine, e‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract:

Despite the large number of works by leading Ukrainian and foreign scientists to reduce operational losses in electricity transmission, the expediency of further research is conditioned by the growing need for the allocation of investment resources between technical and technological solutions so as to achieve the optimal solution to this multi-purpose problem.

Purpose. To develop and test a model of targeted programming for optimal allocation of investment resources of the energy supply enterprise among different variants of technical and technological decisions on reducing operational losses in the transportation of electricity from its sources to consumers.

Methodology. The authors use the system and analytical method, the method of targeted programming, which makes it possible to distribute the investment resources of the energy supply enterprise.

Findings. As technical and technological solutions reflect the indicator of loss reduction, the authors propose to consider them in more detail. A model of targeted programming of resource allocation among these solutions has been developed. Thus, the proposed model of targeted programming provides the opportunity to make the most effective decisions by the management of power supply enterprises in order to minimize operational losses during the supply of electricity to consumers.

Originality. A model of optimal allocation of investment resources between technical and technological decisions concerning reduction of operational losses at power supply on the basis of the method of target programming is developed. This model allows one to distribute investment resources in such a way so as to satisfy the selected optimization criteria and achieve the best result for the energy supply company.

Practical value. The proposed model was implemented at ‘Prykarpattiaoblenerho’ PJSC energy supplying enterprise, and the obtained results allow solving problems of reduction of electric energy losses during transportation.

References.

1. Astashev, D.S., Bedretdinov, R.S., Kisel, D.A., & Sosnina, E.N. (2015). Application of voltage of 20 kV for distribution electrical networks. Vestnik NGEI, (4), 6-9.

2. Kostetska, N.I. (2014). Methodological Approaches to Cost Planning in the Enterprise. In V.I.Grinchuk (Ed.) (2014). Transformation processes of the economic system in the context of modern challenges: monograph. (pp. 446-456). Ternopil: Step.

3. Kostetska, N.I. (2017). Features of the mechanism of strategic management of expenses of the enterprise. Innovative economy, 5-6(69), 91-96.

4. Levytska, I.O. (2014). Audit of costs for the transmission and/or supply of electricity to energy supply companies. Strategic decisions of information development of economy, society and business. In Abstracts of the III International reports. sci. pract. conf. Rivne: NUVGP (pp. 140-143.) Retrieved from https://ecj.oa.edu.ua/articles/2014/n26/19.pdf.

5. Levytska, I.O. (2012). Information support for cost formation of energy supply company: accounting and analytical approach. Bulletin of the L’viv Polytechnic National University. Management and Entrepreneurship in Ukraine, (797), 85-92. Retrieved from http://vlp.com.ua/node/13237.

6. Filippova, S.V., & Yudin, M.A. (2016). Trends in the domestic energy market and alternative energy. Economy: Realities of Time. Scientific Journal, 5(27), 5-10.

7. Program for the development of electric networks with voltage 35‒110 (150) kV and determination of volumes of reconstruction of electric networks with voltage 0.4–10 kV for 2016‒2020 years PJSC “Prykarpattiaoblenerho” Retrieved from https://oe.if.ua/uploads/question_document/document/5af93402db9c420b5c7e4193/poloj_gal_rem_.pdf.

8. DTEK Integrated Report for 2017. Retrieved from http://www.dtek.com/library/file/annual-report2017-ua.pdf.

9. National Institute for Strategic Studies under the President of Ukraine (2014). The White Paper of Ukraine’s Energy Policy ‘Security and Competitiveness” (Energy Strategy of Ukraine for the period up to 2035). Retrieved from http://www.niss.gov.ua/public/File/2014_nauk_an_rozrobku/Energy%20Strategy%2020 35.pdf.

10. Energy Road Map 2050. Retrieved from http://eurlex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:52011DC0885:EN:NOT.

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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