High Accuracy Power Quality Evaluation under a Colored Noisy Condition by Filter Bank ESPRIT

Abstract

Due to the highly increasing integration of renewable energy sources with the power grid and their fluctuations, besides the recent growth of new power electronics equipment, the noise in power systems has become colored. The colored noise affects the methodologies for power quality parameters’ estimation, such as harmonic and interharmonic components. Estimation of signal parameters via rotational invariance techniques (ESPRIT) as a parametric technique with high resolution has proven its efficiency in the estimation of power signal components’ frequencies, amplitudes, and phases for quality analysis, under the assumption of white Gaussian noise. Since ESPRIT suffers from high computational effort, filter bank ESPRIT (FB-ESPRIT) was suggested for mitigation of the complexity. This manuscript suggests FB-ESPRIT as well for accurate and robust estimation of power signal components’ parameters in the presence of the colored noise. Even though the parametric techniques depend on the Gaussianity of contaminating noise to perform properly, FB-ESPRIT performs well in colored noise. The FB-ESPRIT superiority compared with the conventional ESPRIT and MUSIC techniques was demonstrated through many simulations runs on synthetic power signals with multiple harmonics, interharmonics, and subharmonic components in the presence of noises of different colors and different SNR levels. FB-ESPRIT had a significant efficiency superiority in power quality analysis with a wide gap distance from the other estimators, especially under the high level of colored noise.

Alternative Braking Method for Small Scaled-Wind Turbines Connected DC Green House with Analogical Experiment on Blade Destruction

“…Assuming this magnetic flux induced on a copper plate and its resistor is RC and I is the induced eddy current on a copper plate. We can obtain the mathematical expression as (3), According to ohm's law, -ε =R c I eddy (3) From (2) and 3we can obtain the eddy current as the following equation indicates.…”

“…Nowadays larger scale wind turbines can produce up to 10MW and Small wind turbines can produce less than 100 kilowatts. However, management of the wind energy sources has been always challenging as it has a considerable effect on different aspects of the power system such as the power quality [2], power harmonics and inter-harmonics [3], power line communications [4], etc. In this regard, research topics regarding how to obtain a maximum power output for high speed wind input without destroying the small-scaled wind turbine system can be considered as one of the important research areas of the wind energy.…”

Evolutionary Machine Learning Powered by Genetics Algorithm for IoT-Specific Health Monitoring of Agriculture Vehicles

“…Potentially, optimization can improve the efficiency of the systems in a wide range of industrial applications like compressive sensing [6][7][8][9][10][11][12][13][14], optical instruments [15], power quality [16][17][18], sentiment mining [19], image adaptation [20,21], sentiment mining [19], data mining [22][23][24], power line communications [25], featuring big data [26], location-based service [27], telecommunications [28][29][30][31][32][33], analysis of texture [34], planning power system [35], public transportation systems [36], faulty condition diagnosis in agriculture machinery [37][38][39], interaction of human and robot [40], medical images [34,41,42], study of human motion [43], noise removal [44,45], smart ambient [46], electrocardiogram processing [47][48]…”

Using Fuzzy Approach in Determining Critical Parameters for Optimum Safety Functions in Mega Projects (Case Study: Iran’s Construction Industry)

“…Although, in a point of view, identification of the most important parameters can be categorized as an optimization of the process of acquiring the information needed to make an optimum decision, it is different from the known optimization processes wherein a search technique is used for finding an optimum solution from a search space. Optimization techniques are in use in a variety of technical fields from power quality measurement [20][21][22] to medical engineering [23]. Additionally, it is getting to be deployed in sentiment mining [24], agriculture machines diagnostics [25][26][27], services based on location [28], extraction of features from big data [29], telecommunications [30][31][32][33][34][35], software-intensive systems [36], power line communications [37], processing medical images [38][39][40], public systems for transportation [41], power system planning [42,43], texture analysis [44], adaptation of image adaptation [45], human-robot interaction [46], data mining [47][48][49], noise cancellation [50,51], analysis of human motion [52], smart environment [53], electrocardiogram processing [54][55][56], etc.…”