Application of Wavelet Transform and Artificial Neural Network to Extract Power Quality Information from Voltage Oscillographic Signals in Electric Power Systems

Autor: R. N. M. Machado, L. A. Meneses, U. H. Bezerra, M. E. L Tostes, S. C. F. Freire
Rok vydání: 2012
Předmět:
Zdroj: Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology
DOI: 10.5772/35947
Popis: Post-operation contingencies analysis in electrical power systems is of fundamental importance for the system secure operation, and also to maintain the quality of the electrical energy supplied to consumers. The electrical utilities use equipments as Digital Disturbance Registers (DDR), and Intelligent Electronics Devices (IED) for faults monitoring, and diagnosis about the electrical power systems operation and protection. In general, the DDR and IED are intended to monitor the protection system performance and detect failures in equipments and transmission lines, and also generate analog and digital oscillographic registers that better characterize the disturbing events.
Databáze: OpenAIRE