Filtro Hanning modificado com tamanho de janela variável para estimação de amplitude do sinal da rede elétrica

Abstract

Due to the growing demand for energy provided in a more reliable way, several control, protection and monitoring methodologies are been developed. For this reason it is of great importance the utilization of appropriate signal processing techniques that allow a precise and fast extraction of parameters from the electrical grid. The advent of new technologies has enabled the modernization of the electric energy generation, transmission and distribution systems, improving its efficiency and service reliability. On the other hand, it was noted a widespread in the application of non-linear loads, responsible for generating harmonics and inter-harmonics components that distorts the electrical signal (voltage and current), hindering the estimation process of useful parameters. With the aim to keep providing energy in a safe and reliable way, some prerequisites must be taken into account, such as the low harmonic distortion, stable amplitude, low oscillation of the fundamental frequency among others. Nowadays, due to the widespread use of nonlinear loads and equipment coupled to the grid, tracking these power quality parameters is not an easy task. That is why novel approaches and techniques of signal processing must be combined with knowledge of power systems theory as a form to estimate and keep track of these measurements. Within this context several algorithms are been developed, each one with its specificity and performance. The present work proposes the development of a new filter, based on the Hanning filter, capable of eliminating harmonics and attenuate with more efficiency the inter-harmonic components besides being more stable for fixed point implementation. This filter is combined with an algorithm that enable the adjustment of its coefficients according to the frequency estimation, assuring a synchronous sampling process, that is, the sampling rate will always be an integer multiple of the actual system frequency. In this way, the amplitude estimation and component reconstruction are performed with better accuracy even when considering the time-varying nature of the fundamental frequency of the signal and the high amount of distortion due to harmonics and inter-harmonics, depicting with greater fidelity the true signal of power system. Results have shown better performance than the already known techniques, considering signal with off-nominal frequency as well as high level of harmonic and inter-harmonic distortion, reaching 74% of improvement in relation with MAF and almost 90% in relation of conventional Hanning.