Integrated Assessment of the Quality of Functioning of Local Electric Energy Systems

Waldemar Wójcik, Petro Lezhniuk, Cezary Kaczmarek (), Viacheslav Komar, Iryna Hunko, Nataliia Sobchuk, Laura Yesmakhanova and Zhazira Shermantayeva ()
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Waldemar Wójcik: Department of Electronics and Information Technology, Lublin University of Technology, Nadbystrzycka 38A, 20-613 Lublin, Poland
Petro Lezhniuk: Department of Electric Power Stations and System, Vinnytsia National Technical University, Khmelnytsky Highway 95, 21021 Vinnytsia, Ukraine
Cezary Kaczmarek: Department of Electronics and Information Technology, Lublin University of Technology, Nadbystrzycka 38A, 20-613 Lublin, Poland
Viacheslav Komar: Department of Electric Power Stations and System, Vinnytsia National Technical University, Khmelnytsky Highway 95, 21021 Vinnytsia, Ukraine
Iryna Hunko: The Institute of Renewable Energy of the National Academy of Sciences of Ukraine, HnataKhotkevychaStreet20-a, 02094 Kyiv, Ukraine
Nataliia Sobchuk: Department of Electric Power Stations and System, Vinnytsia National Technical University, Khmelnytsky Highway 95, 21021 Vinnytsia, Ukraine
Laura Yesmakhanova: Institute of Information and Computational Technologies, Al-Farabi Kazakh National University, 71 Al-Farabi Avenue, Almaty 050040, Kazakhstan
Zhazira Shermantayeva: Institute of Information and Computational Technologies, Al-Farabi Kazakh National University, 71 Al-Farabi Avenue, Almaty 050040, Kazakhstan

Energies, 2025, vol. 18, issue 1, 1-15

Abstract: This research demonstrates the possibility and expediency of forming local electric energy systems (LEESs) based on renewable sources of energy (RSE) as balancing groups in the electric power system (EPS), which can maintain efficiency and provide power supply to consumers in an autonomous mode. The LEES is a part of the EPS of thermal and nuclear power plants and is considered as a separate balancing group. LEESs are designed in such a way that they can operate autonomously in both normal and extreme conditions in the EPS. The sources of electricity in LEESs are small hydroelectric power plants (SHPPs), photovoltaic power plants (PVPPs), and wind power plants (WPPs), whose electricity generation is unstable due to dependence on natural conditions. Therefore, the structure of a LEES with RSE includes an energy storage system with reserves sufficient to compensate for the unstable generation and balancing of the mode. LEESs can differ significantly in terms of key technical and economic indicators (power supply reliability, power losses, and power quality), and therefore, it is necessary to choose the optimal one. It is not advisable to optimize the quality of power supply in a LEES by individual indicators, as improvement of one indicator may lead to deterioration of another. The functional readiness of a LEES should be assessed by the quality of operation, which depends on reliability, power losses, and power quality. To simplify the task of assessing the quality of operation, which is a vector optimization problem, a method for determining the integral indicator as a number that characterizes the LEES and reflects the compromise between the values of reliability, power losses, and power quality has been developed. The integral indicator of the functioning of complex systems is based on a combination of the theory of Markov processes and the criterion method of similarity theory. The value of the integral indicator of the quality of operation of the LEES allows for comparing different variants of power transmission and distribution systems without determining individual components of technical and economic indicators—reliability, power losses, and power quality. The offered integral indicator of the quality of functioning of a LEES with RSE corresponds to the general requirements for such indicators. It reflects the actual operating conditions; allows for assessing the efficiency, quality, and optimality of power supply systems; and can be easily decomposed into partial indicators.

Keywords: microgrid; local electric energy system; autonomous mode; renewable sources of energy; quality of functioning; optimization; Markov processes; similarity theory (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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