Estimation of powerquality in distribution system using fuzzy logic theory

Abstract

There are several methods are used to calculate the power quality indicators. These objectives are now served by the most recent soft computing theories, such as neural networks, fuzzy time series, fuzzy logic theory, and other techniques. The fuzzy logic theory is one of the methods used to calculate the power quality indicators for the distribution electric network in this paper. It resolves the issue of forecasting the voltage values on distribution electrical networks' buses and enhances the quality of electricity in the face of fluctuating consumer loads and uncertainty. This paper proposed a device that has the ability for monitoring the quality of electricity domestically which leads to getting rid of many problems such as voltage deviations and asymmetrical faults. The fuzzy logic theory is implemented to develop the algorithm for this purpose. The actual data is recorded at the distribution transformer and implement the fuzzy logic theory by using a mathematical model as well as the simulation on MATLAB for optimizing the power quality indicators with the help of fuzzy logic theory and results are discussed at the end of the paper.

Development of a simulation model for assessing the technical condition of the magnetic circuit of oil power transformers by measuring the temperature of the tank and the external environment

“…According to today's statistics, more than 60% have worked for more than 25 years [3][4][5]. Due to the high cost of the housings, it is impossible to replace them with new ones, but you can extend the operating time [1][2]6]. Therefore, diagnostics of oil-immersed power transformers should be considered an integral part of ensuring the reliability and long-term operation of electrical power systems [7][8][9][10][11].…”

“…This practice makes it possible to effectively manage resources and ensure a stable energy supply, which ultimately has a positive effect on the economy and reliability of the energy infrastructure [9,[12][13]. Replacing or repairing a transformer requires significant financial and time costs [6][7][8][9][10][11][12]. Diagnostics allows you to optimize costs and extend the service life of equipment [7,[14][15][16].…”