From the Publisher: 
This is undoubtedly the most accessible book on digital signal processing (DSP) available to the beginner. Using intuitive explanations and well-chosen examples, this book gives you the tools to develop a fundamental understanding of DSP theory. The author covers the essential mathematics by explaining the meaning and significance of the key DSP equations. Comprehensive in scope, and gentle in approach, the book will help you achieve a thorough grasp of the basics and move gradually to more sophisticated DSP concepts and applications.

数字信号处理 = Understanding digital signal processing

http://ieeexplore.ieee.org/iel5/5/31196/01451889.pdf

Random differential equations in science and engineering

Diagnostics of stator faults of the single-phase induction motor using thermal images, MoASoS and selected classifiers

Squaring hourly demand and wind-solar production data for Germany and a number of neighbouring countries with the results of the EU’s ESTORAGE project, this paper studies the limits of Germany’s energy revolution in view of the volatility of wind and solar power In addition to pumped storage, it considers double-structure buffering, demand management, Norwegian hydro-dam buffering and international diversification via grid expansion If Germany operated in autarchy and tried to handle the volatility of wind-solar production without using stores while replacing all nuclear and fossil fuel in power production, on average 61%, and at the margin 94%, of wind-solar production would have to be wasted, given the current level of other renewables To avoid any waste, the wind-solar market share in an autarchic solution must not be expanded to more than 30% By using Norway’s hydro plants the share could be expanded to 36% If Norway were to build all the pumped-storage plants the ESTORAGE study deems feasible, Germany’s wind-solar market share could be expanded by another 24 percentage points to about 60%, which corresponds to 48% of the combined German and Norwegian markets Additionally expanding the market to Switzerland, Austria and Denmark and building the maximal number of pumped stores would increase the combined wind-solar market share for all five countries to nearly 50%

Buffering Volatility: A Study on the Limits of Germany’s Energy Revolution

Harmonics and waveform distortion is a significant power quality problem in modern power systems with high penetration of Renewable Energy Sources (RES). This problem has attracted more attention in recent decades, owing to the increasing integration of power electronic devices and nonlinear loads into power systems. In this paper, Artificial Intelligence (AI) techniques used in different aspects of analyzing harmonics in electrical power networks are reviewed. The tasks of spectrum analysis and waveform estimation or prediction, harmonic source classification, harmonic source location and estimation, determination of harmonic source contributions, harmonic data clustering, filter-based harmonic elimination, and Distributed Generation (DG) hosting capacity in the context of harmonics are considered. The applications of AI in these tasks have been addressed within the literature and are reviewed in this paper. Different AI techniques applied in the study of harmonics such as artificial neural networks, fuzzy systems, support vector machine and decision tree are reviewed. AI techniques mostly outperformed traditional methods in harmonic analysis, particularly under varying operating condition. However, there is still room for improvement regarding the use of combinations of techniques, ensemble learning, optimal structures, training algorithms and further comprehension. This review provides researchers with an insight into research trends in harmonic analysis and outlines opportunities for further research on this increasingly important topic. 

Review of AI applications in harmonic analysis in power systems

Time-invariant and time-varying filters versus neural approach applied to DC component estimation in control algorithms of active power filters

Some new approaches to active compensator allocation and sizing in distribution networks have been proposed in the paper. A few objective functions as well as their advantages and disadvantages have been given. Moreover, software which enables practical verification of the strategies has been described.

/pdf/strategies-for-optimal-allocation-and-sizing-of-active-power-1ieuy6fci6.pdf

Strategies for optimal allocation and sizing of active power filters

The paper includes a summary and a background of long-time research conducted by a research team in the Institute of Electrical Engineering and Computer Science at Silesian University of Technology. The research work has principally been related to selected problems in the field of analysis and synthesis of systems aimed at symmetrisation and improvement of some power quality parameters. This paper constitutes a first part of the report on the research. It has been devoted to effective elimination of higher harmonics and reactive power compensation by means of parallel active power filters. The other problem discussed in this paper is related to this issue and it is very important from the economic point of view; it addresses optimal sizing and placement of active power filters in investigated power networks.

/pdf/selected-methods-for-improving-operating-conditions-of-three-3enkkfnxd3.pdf

Selected methods for improving operating conditions of three-phase systems working in the presence of current and voltage deformation – part I

The paper is related to the problem of modeling and optimizing power systems supplying, among others, nonlinear loads. A software solution that allows the modeling and simulation of power systems in the frequency domain as well as the sizing and allocation of active power filters has been developed and presented. The basic assumptions for the software development followed by the models of power system components and the optimization assumptions have been described in the paper. On the basis of an example of a low-voltage network, an analysis of the selection of the number and allocation of active power filters was carried out in terms of minimizing losses and investment costs under the assumed conditions for voltage total harmonic distortion (THD) coefficients in the network nodes. The presented examples show that the appropriate software allows for an in-depth analysis of possible solutions and, furthermore, the selection of the optimal one for a specific case, depending on the adopted limitations, expected effects, and investment costs. In addition, a very high computational efficiency of the adopted approach to modeling and simulation has been demonstrated, despite the use of (i) element models for which parameters depend on the operating point (named iterative elements), (ii) active filter models taking into account real harmonics reduction efficiency and power losses, and (iii) a brute force algorithm for optimization.

Software Solution for Modeling, Sizing, and Allocation of Active Power Filters in Distribution Networks

The problem of cost effective active compensator allocation and sizing in distribution networks has been analyzed in the paper. A few objective functions have been compared from the economical point of view. Theoretical considerations have been illustrated by an example of active power filters (APF) allocation and sizing by means of the genetic algorithm.

Cost effective allocation and sizing of active power filters using genetic algorithms

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