Active filtering of electric power has now become a mature technology for harmonic and reactive power compensation in two-wire (single phase), three-wire (three phase without neutral), and four-wire (three phase with neutral) AC power networks with nonlinear loads. This paper presents a comprehensive review of active filter (AF) configurations, control strategies, selection of components, other related economic and technical considerations, and their selection for specific applications. It is aimed at providing a broad perspective on the status of AF technology to researchers and application engineers dealing with power quality issues. A list of more than 200 research publications on the subject is also appended for a quick reference.

A review of active filters for power quality improvement

Facts Controllers in Power Transmission and Distribution

Mathematical Model and Solution of Electric Network.- Load Flow Analysis.- Stochastic Security Analysis of Electrical Power Systems.- Power Flow Analysis in Market Environment.- HVDC and FACTS.- Mathematical Model of Synchronous Generator and Load.- Power System Transient Stability Analysis.- Small-Signal Stability Analysis of Power Systems.

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Modern Power Systems Analysis

Techniques are presented for the evaluation and interpretation of eigenvalue sensitivities, in the context of the analysis and control of oscillatory stability in multimachine power systems These techniques combine the numeric power of model analysis of state-space modals with the insight that can be obtained from transfer-function descriptions Relationships with tools from selective model analysis (namely, participations) are stressed Examples of applications to a detailed multimachine power system model are given >

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On sensitivities, residues and participations: applications to oscillatory stability analysis and control

The application of superconducting magnet energy storage (SMES) to the stabilization of a power system with long-distance bulk power transmission lines which has the problem of poorly damped power oscillations is presented. Control schemes for stabilization using SMES capable of controlling active and reactive power simultaneously in four quadrant ranges are proposed. The effective locations and the necessary capacities of SMES for power-system-stabilizing control are discussed in detail. Results of numerical analysis and experiments in an artificial power-transmission system demonstrate the significant effect of the control by SMES on the improvement of power-system oscillatory performance. >

Application of superconducting magnet energy storage to improve power system dynamic performance

A new computer program is described which permits eigenvalue analysis of the oscillations associated with synchronizing power flow in large electric power systems. The program has been given the acronym AESOPS, for the Analysis of Essentially Spontaneous Oscillations in Power Systems. The program is the principal product of a research project funded by the Electric Power Research Institute. This project was recommended by the Westinghouse Advanced Systems Technology Division and the MAPP/MARCA Dynamic Device Operating Task Force.

Eigenvalue Analysis of Synchronizing Power Flow Oscillations in Large Electric Power Systems

This paper concerns the application of static reactive compensators (SVCs) to Power transmission systems. Emphasis is placed on stability, and it is shown that SVCs can provide significant benefits in terms of increased transient stabilty liisand improved damping for synchronizing power flow oscillations. The paper includes descriptions Of static VAR compensators, with technical and economic comparisons of different compensators. An SVC system study model is presented which includes provision for modulating reactive compensation in response to a variety of system functions. Study procedures are illustrated which relate sYstem stability objectives to general specifications of SVCs, indluding their locations, regulating slopes, peak reactive power requirements, and modulation control.

Static Reactive Compensation for Power Transmission Systems

Mathematical models and computing methods for determining the natural freqencies and damping of generator rotor oscillations in large electric power systems are described These models and methods provide the basis for estimating those eigenvalues most intimately related to rotor motion The principal computational problem is the calculation of incremental voltage oscillations in a linear system model subjected to an external forcing function This linear system model is derived from networks and generator representations employed in conventional time domain stability calculations Methods of calculating voltages using this model are discussed The use of these voltages in an iterative process to estimate eigenvalues is explained

Frequency domain analysis of low-frequency oscillations in large electric power systems. Interim report. Applications of a small-scale computer program

An eigenvalue analysis of a large electric power system using the computer program AESOPS is described. It illustrates the kind of investigation for which the program is intended and discusses procedures for efficient program application. Data are from the MAPP (Mid-Continent Area Power Pool) system. The situations studied serve the needs of this project with regard to computer program development and do not necessarily reflect power system engineering concerns of the MAPP organization. Study results include descriptions of ten intersystem modes of oscillation and fifty local modes. The ten intersystem modes are studied in sufficient detail to show the effects of a selected set of contingencies, the effects of dc line supplementary controls, and the effects of power system stabilizers. A method of calculating approximate eigenvalues at significantly reduced costs produces acceptable accuracy for all ten intersystem modes.

Phase II: frequency domain analysis of low-frequency oscillations in large electric-power systems. Volume 3. Studies of the MAPP system. Final report. [AESOPS]

When major electric power systems are interconnected through ties of relatively small capacity, low-frequency intersystem oscillations are likely to be troublesome for some operating conditions. Spontaneous intersystem oscillations which have occurred in the western and north central states attest to this aspect of system behavior. The long distances which separate concentrations of generating capacity in those systems also separate many individual generating plants from other machines; so that localized, poorly damped, higher frequency modes of oscillation also exist. The potential for unstable oscillations must be considered in planning the bulk generation and transmission system, in designing control systems for turbine-generators and dc line terminals, and in system operations. Present practice depends almost entirely on time-domain simulation for large system analysis, with computing costs that are relatively high and information in a form which is often not well suited to study purposes. The objective of this research is to develop an alternative to time-domain simulation for damping studies. This alternative involves the use of a linearized system model for calculating the natural frequencies and damping factors of oscillations between generator rotors.

Phase II: frequency domain analysis of low-frequency oscillations in large electric power systems. Volume 1. Basic concepts, mathematical models, and computing methods. Final report

R. T. Byerly

Papers

Eigenvalue Analysis of Synchronizing Power Flow Oscillations in Large Electric Power Systems

Static Reactive Compensation for Power Transmission Systems

Frequency domain analysis of low-frequency oscillations in large electric power systems. Interim report. Applications of a small-scale computer program

Phase II: frequency domain analysis of low-frequency oscillations in large electric-power systems. Volume 3. Studies of the MAPP system. Final report. [AESOPS]

Phase II: frequency domain analysis of low-frequency oscillations in large electric power systems. Volume 1. Basic concepts, mathematical models, and computing methods. Final report