System of forming control signals by correction devices with creation of neural network patterns based on matrix analysis

Federal State-Financed Educational Institution of Higher Education P. A. Solovyo, Rybinsk State Aviation Technical University, Rybinsk, Russia

Abstract

The compensating devices are controlled in the structure of the automatic control system in conjunction with the sensors included in a particular node of the power grid. But the overall state of the local power grid for the reactive power flow is not considered. It is proposed to generate control signals to correction devices by processing the information obtained by monitoring from remote sensors of voltage and current of the distribution grid. It is possible to use the matrix method of forming the control signals to correction devices to adjust the grid parameters. To improve the energy efficiency of correction devices in the monitoring structure, it is proposed to use static reactive power compensators (SVCs) based on magneto-valve elements. The proposed distribution grid monitoring structure with the transfer of information over a local area network from sensors to correction devices makes it possible to stabilize the required grid parameters among consumers and minimize the loss of electrical energy from reactive power flow.