The most important elements of “intellectual networks” (Smart Grid) are the systems of monitoring the parameters of electrical equipment. Information-measuring systems (IMS), which described in this paper, were proposed to use together with rapid digital protection against short-circuit regimes in transformer windings. This paper presents an application’s experience of LVI-testing, some results of the use of Frequency Response Analysis (FRA) to check the condition of transformer windings and infra-red control results of electrical equipment. The LVI method and short-circuit inductive reactance measurements are sensitive for detecting such faults as radial, axial winding deformations, a twisting of low-voltage or regulating winding, a losing of winding’s pressing and others

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The analysis of the main methods of diagnostics of electrical equipment for detection of defects and damages in the course of operation is presented. Analysis of the effectiveness of the main diagnostic methods is accompanied by examples of detection of defects and damage to specific equipment: power transformers, reactors, current and voltage transformers, disconnectors, turbogenerators, OPN, etc. Examples of damage and investigation of technological violations of oil-filled transformer-reactor equipment during operation, associated with the loss of electrodynamic resistance of the windings during the flow of through short-circuit currents (short-circuit). The analysis of efficiency of application of methods of diagnostics at detection of defects and damages of power transformers because of the impact of fault current. The questions of electrodynamic tests of power transformers (reactors) for resistance to short-circuit currents, which serve as a tool to improve the reliability of their design, are considered.

Technological breakdowns in the Samara electric power networks are analyzed. This enables the statistics to be generalized, reveals the extent of breakdowns and enables the effect of systematic and seasonal factors on the network to be estimated. This provides the possibility of using the results obtained to develop organizational and technical measures to eliminate and prevent the reasons for different forms of technological breakdowns with the aim of increasing the operating efficiency of the power network and its operating reliability, and to reduce the number of breakdowns in the electric power networks.

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