Application of image recognition methods to express-estimation of electric system state under big disturbances

The improvement of algorithms and development of the complex of original programs for the express-recognition of the electric power system (EPS) state under big disturbances are the aim of the paper. The investigations have been held with the use of the image recognition theory, probability theory, information theory, mathematical calculation methods of Boolean algebra, methods of the EPS stability analysis and methods of the calculation programming on a computer. As a result original algorithms, making it possible to increase the effectiveness of the EPS state express-estimation under big disturbances and under conditions of the uncertainty and incompleteness of information have been developed. The RAS program complex, making it possible to solve a wide class of problems of the recognition and identification in power ingeneering and to increase the effectiveness of the EPS supervisory control has been developed. Algorithms and programs of the state recognition in electric power systems may find their field of application in supervisory controls. The increase of the EPS state recognition accuracy under big disturbances is the result of the introduction as well as the maximum reduction of decision making time and the effectiveness increase of the EPS emergency operation controlAvailable from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio