Estatísticas de ordem superior para detecção, classificação e identificação de distúrbios de qualidade de energia elétrica

Abstract

The power quality available on the electrical power system became focus in the last decades. This fact is explained by the combination of signal pollutions increasing and the number of electronic devices sensitive to power signal variations, especially in the smart grids scenario. One of the challenges of smart grids is the reduction of events or failures due to the low power quality, mainly involving harmonics and inter-harmonics disturbances, caused by the use of fillers and electronic systems. Impacts and losses caused by these disturbances are of great concern in numerous studies, since there is not an efficient analysis method capable of dealing with this kind of disturbances. This thesis seeks to contribute in the sense of harmonics and inter-harmonics analysis by proposing a power quality disturbances detection, classification and identification system, based on higher order statistics. The proposed structure also includes a inter-harmonics and sub-harmonics components counter, able to point out the existence and to quantify these components even when they are combined with other harmonic disturbances. The proposed methodologies show suitable results both in terms of efficiency of investments in power quality as compared to the computational performance.