The goal of this research was to design a multivariate method and a software tool that would allow transmission and distribution system operators, as well as other subjects in the electricity market, to predict the impact of a change in one quantity in the power system on another. The multivariate method implies the calculation of the mutual correlation of all considered dependent and independent variables, which forms a characteristic matrix of correlations. By analyzing the correlation matrix, a detailed insight into the characteristics of the system can be obtained. The new proposed view of the stochastic state of the power system implies that the system is viewed as a single closed space in which electrical and non-electrical quantities mutually “vibrate” . The result of the work is a defined new method that analyzes the „vibrating“ and forms a tool for its analysis in order to predict problems in the operation of the system and in the end to find a single quantity that would define the stochastic strength of the electric power network, all with the aim of making the most efficient use of existing and new elements of the network and of predicting new states based on the realized states system despite the risky and unpredictable market environment.