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The severe consequences of emergency situations force us to look for ways to increase the stability of the complex, through the development of new algorithms for determining the setpoints for triggering protection and determining the locations of damage on overhead power lines (OPL). In electrical networks, devices for determining fault locations on power lines of 10 kV and higher, based on measuring the parameters of the emergency mode, are widely used. When determining the location of the damage, not only the current and voltage parameters at the time of the accident are analyzed, but also the parameters of the overhead power line. OPL is characterized by the following main parameters: the specific active resistance R, the specific reactive resistance X, the specific active conductivity G and the specific reactive conductivity B. As a rule, these parameters are attributed to the unit of the length of the overhead line (OL) and take linear values in the calculations. When analyzing power transmission lines, tabular approximate values of the longitudinal and transverse parameters in the substitution schemes are used, although solving problems in an unsophisticated form leads to significant refinements of the known solutions, since the overhead lines are affected by external atmospheric factors (changes in ambient temperature, soil humidity, wind forces, ice formation, etc.). In this paper we analyze the characteristics of these variables and evaluate the impact of the above factors on the linear longitudinal and transverse AL parameters obtained functional dependence of the influence of external factors on the setpoint triggering distance protection, developed a methodology to automatically adjust a setpoint of the complex intellectual and adaptive protection algorithm for relay protection, taking into account changes in climatic factors to reduce the length of the “dead zone” and increase the sensitivity of the protection. Also, the use of empirical data on the line parameters obtained from sensors in the calculations will allow us to more accurately determine the location of damage based on the use of remote methods.

Development of an intelligent remote relay protection system with adaptive algorithms for determining the response setpoints