Research into the influence of climatic factors on the losses of electric energy in overhead power transmission lines

Vladimir Bakulevskiy

doi:10.15587/1729-4061.2016.80072

Abstract

The problem of improving the accuracy in the calculations of technical energy losses in the overhead transmission lines of voltage 6–35 kV was examined by taking into account climatic factors. The influence of climatic factors on the losses of electricity in the overhead transmission lines of voltage 6–35 kV was explored. We improved the model of thermal processes in the PTL wires through a fuller account of meteofactors. The approaches to calculating the losses of active power in PTL were analyzed and examined. We substantiated expediency of applying the approach in which the losses are calculated taking into account the average monthly air temperature. It was investigated, calculated and proposed to include, in the basic equation of thermal balance for the PTL wires, the heat transfer coefficients that take into account the impact of precipitation (rain, snow). We improved the basic equation of thermal balance for sustained thermal mode for the PTL wires with regard to the proposed approach to the selection of temperature and calculated heat transfer coefficients at atmospheric precipitation on the surface of the wires. The expression is proposed for determining technical energy losses in the overhead PTL of voltage 6–35 kV. We designed a model of neural network for forecasting and calculating technical energy losses in the overhead power transmission lines of voltage 6–35 kV, which has advantages in comparison with traditional models and will make it possible to reduce error when calculating and forecasting load electric power losses in PTL. Results of the study may be useful for forecasting and calculation of energy losses in the overhead PTL of voltage 6–35 kV in power supply and designing organizations.

Highlights

Power losses in electric networks are the most important indicator of their performance efficiency, a clear indicator of state of the system of electricity accounting, efficiency in energy sales activities of electric utility organizations [1]
We propose the following formulation of the task of forecasting and analysis of technical energy losses based on the artificial neural network (ANN) apparatus for the overhead power transmission lines (PTL) of voltage 6–5 kV: – the input vector X: rated voltage, daily load of PTL, length of PTL, type of the PTL wire, daily average values of air temperature and wind force, dominant precipitation
To reduce the error in prediction and calculation of energy losses at overhead PTL, we analyzed and explored other climatic factors and proposed to include in the basic equation of thermal balance, which was established, for the PTL wires, coefficients of heat transfer that take into account the impact of precipitation, which were calculated (Table 2)

Summary

Introduction

Power losses in electric networks are the most important indicator of their performance efficiency, a clear indicator of state of the system of electricity accounting, efficiency in energy sales activities of electric utility organizations [1]. The world experience shows that in the countries with economy in crisis the losses of electricity in networks tend to grow, which is confirmed in Ukraine, where in many energy systems the losses of electricity grow even when energy consumption reduces [2, 3, 7]. Against the background of the changes in economic mechanism that occur in the energy sector, and crisis in the country’s economy, the problem of reducing energy losses in electric networks is one of the tasks of ensuring financial stability of electric utility organizations [1]. One of the main energy saving objectives in Ukraine is, based on the analysis of existing state, to develop the main directions to reduce energy losses and bring this indicator to the level of the advanced countries of the European Union and the United States in energy consumption [1], that is why the improvement of forecasting and calculating the energy losses is a relevant issue of energy saving in the energy sector of Ukraine

Objectives

Results

Conclusion