Abstract
The article is devoted to the issue of creating a mathematical model of the problem of making management decisions in electric power facilities based on modern intelligent technologies, which makes it possible to take into account the influence of various factors on the operating modes of the power system. A systematic approach to describing processes in the mathematical language of the theory of fuzzy sets is proposed. To solve the problem of controlling the operating modes of the power system, a neurofuzzy network has been developed that combines the algorithms of Takagi-Sugeno fuzzy inference, as well as a recurrent neural network. An adaptive learning algorithm based on the Frechet method is proposed for training a neural network. The analysis of the efficiency of the fuzzy control model under the conditions of various modes of functioning of the local power system is carried out.
Highlights
IntroductionElectric power systems (hereinafter referred to as electric power systems (EPS)), as elementary parts of the infrastructure of the national economy, have strong and diverse connections with various industries, it can be noted that to a large extent, they determine the living conditions of the population, the state of the natural environment, etc
Electric power systems, as elementary parts of the infrastructure of the national economy, have strong and diverse connections with various industries, it can be noted that to a large extent, they determine the living conditions of the population, the state of the natural environment, etc
In electric power systems (EPS), continuous technological processes are carried out continuously, and calculations and assessment of the state at the current time are possible only in discrete modes of individual current values of their interval parameters, without taking into account the structure, which leads to a confusing situation and frequent loss of possible solutions
Summary
Electric power systems (hereinafter referred to as EPS), as elementary parts of the infrastructure of the national economy, have strong and diverse connections with various industries, it can be noted that to a large extent, they determine the living conditions of the population, the state of the natural environment, etc. In electric power systems (EPS), continuous technological processes are carried out continuously, and calculations and assessment of the state at the current time are possible only in discrete modes of individual current values of their interval parameters, without taking into account the structure, which leads to a confusing situation and frequent loss of possible solutions. In this regard, the problem of incompleteness and inaccuracy of the initial data arises, which requires constant complication of mathematical models. Implementation will require the additional formation of the structure of SSA structures and the principles of their operation
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