Determining weight coefficients for an optimal system of control over electric energy generation in a combined electric power system

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.193362

Keywords:

automated control system, renewable energy sources, electrical distribution network, fuzzy logic

Abstract

This paper reports a solution to a relevant scientific task of determining the weight coefficients for an optimal system of automated control over the level of electric energy generation by renewable energy sources in a combined electric power system. It has been established that existing control systems of electric power generation by renewable sources, based on solving a problem on multicriteria optimization, do not take into consideration a change in the quantitative and qualitative composition of electric consumers over time.

It has been proposed, in order to determine those weight coefficients that influence the resulting solution to the problem on multicriterial optimization, to employ a mathematical apparatus of fuzzy logic. This has made it possible, in contrast to existing systems, to better account for a time-dependent change in the quantitative and qualitative composition of electricity consumers. It has been shown that it is expedient to choose, as the input parameters for a fuzzy model, the values for a coefficient of consumer load and a coefficient of load importance that takes into consideration the sensitivity of electric consumers to voltage deviations.

A database of rules for a fuzzy system of weight coefficients determination has been constructed, which includes 15 rules of fuzzy production. The Mamdani algorithm has been used as an algorithm of fuzzy logic derivation. To determine the input and output linguistic variables we have used triangular and trapezoidal membership functions. The output parameter was defuzzified by the method of determining the center of gravity (centroid method).

We have performed computer simulation of the optimal system of an automated system of control over the level of electric energy generation by renewable energy sources using the designed fuzzy unit for determining weight coefficients. Analysis of the simulation results has shown that the devised system of automated control makes it possible to increase the level of electricity generation to a network, as compared to existing systems

Author Biographies

Petro Plieshkov, Central Ukrainian National Technical University Universytetskyi ave., 8, Kropyvnytskyi, Ukraine, 25006

PhD, Professor, Head of Department

Department of Electrical Systems and Energy Management

Valentyn Soldatenko, Central Ukrainian National Technical University Universytetskyi ave., 8, Kropyvnytskyi, Ukraine, 25006

PhD, Lecturer

Department of Electrical Systems and Energy Management

Vasyl Zinzura, Central Ukrainian National Technical University Universytetskyi ave., 8, Kropyvnytskyi, Ukraine, 25006

PhD, Associate Professor

Department of Electrical Systems and Energy Management

Serhii Plieshkov, Central Ukrainian National Technical University Universytetskyi ave., 8, Kropyvnytskyi, Ukraine, 25006

PhD, Associate Professor

Department of Automation of Production Processes

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Published

2020-02-29

How to Cite

Plieshkov, P., Soldatenko, V., Zinzura, V., & Plieshkov, S. (2020). Determining weight coefficients for an optimal system of control over electric energy generation in a combined electric power system. Eastern-European Journal of Enterprise Technologies, 1(2 (103), 77–82. https://doi.org/10.15587/1729-4061.2020.193362