Control Monitoring Of The Distribution Grid Of The Workshop Based On The Method Of Combined Matrices

Abstract

The existing control systems for compensating installations do not take into account the general state of the power grid in terms of reactive power flows. The article proposes the monitoring system that processes data from a current and voltage sensor in a distribution grid, based on the processed data control actions are formed on corrective devices. Today high-speed static VAR compensators (SVC), built on the principle of indirect compensation, are most widely used. However, such compensators have a number of disadvantages, therefore, to improve the energy efficiency of the monitoring system, it is advisable to use SVC based on magnetic valve elements. To predict reactive power in the distribution grid, the artificial neural networks (ANN) module is used in the monitoring structure. To train the neural network, using the method of combined matrices, a distribution grid model is formed.The proposed monitoring system will make it possible to stabilize the parameters of the grid for consumers, to reduce losses from reactive power flows. The neural network module included in the main processor will reduce the development of emergency situations. The use of SVC based on magnetic valve elements will increase the energy efficiency of the monitoring system in distribution grids with a sharply variable nature of electricity consumption.