Increase of Efficiency of Relay Protection Reliability in Modes with Deep Saturation of Current Transformers Using The Methodology Based on The Application of Artificial Neural Networks

There are different types of tasks in power engineering, which are solved by means of hardware and software complexes [1]. Some of the issues might be resolved within short period using relatively simple algorithms. Other issues require collecting data for estimating tendency of changes in condition of operating equipment by mathematical models. There are tasks, which cannot be solved with the help of mathematical model's synthesis, which is based on the passport or other data about the equipment [2]. This kind of tasks consists of forecasting the technical condition of the equipment for maintenance planning according to the actual equipment state, forecasting of emergency situations, classification of operating modes of the electric power facilities, different types of restoration of initial signals etc.