New PDF release: Adaptive Voltage Control in Power Systems: Modeling, Design

By Giuseppe Fusco

Power caliber is a urgent problem in electrical strength platforms. one of many major specifications of strength caliber administration is the warrantly of a sinusoidal voltage waveform with enough amplitude at each one node of the community. The fulfilment of the sort of regulate goal is facilitated through adaptive platforms which may account for unpredictable fluctuations in working conditions.

Adaptive Voltage keep an eye on in strength Systems, a self-contained combination of idea and novel program, is an in-depth therapy of such adaptive regulate schemes. The reader strikes from power-system-modelling difficulties via illustrations of the most adaptive keep an eye on structures (self-tuning, model-reference and nonlinearities reimbursement) to a close description of layout tools: Kalman filtering, parameter-identification algorithms and discrete-time controller layout are all represented. Case stories deal with purposes concerns within the implementation of adaptive voltage control.

Practicing engineers and researchers in strength platforms and regulate engineering will locate this monograph, written by way of representatives of every box, to be a necessary synthesis of either whereas its available type also will entice graduate students.

Advances in commercial Control goals to record and inspire the move of expertise up to speed engineering. The speedy improvement of regulate know-how has an influence on all components of the regulate self-discipline. The sequence deals a chance for researchers to offer a longer exposition of recent paintings in all elements of business control.

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Additional info for Adaptive Voltage Control in Power Systems: Modeling, Design and Applications

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2nh , ˆ k asympand if ∀ k ∈ N0 we have Q. ,k = Q. > 0, then the matrices Rk and R ˆ totically reach values Rk,∞ and Rk,∞ which are constant in the rotating frame of the observable direction hk . 34 3 Voltage and Current Phasor Identification Proof. 12): hT k Rk hk = Q. T hk Rk hk + Q. 15) which shows that the “projection” hT k Rk hk of the estimated error covariance matrix Rk along the observable direction hk is strictly smaller than the “projection” hT k Rk hk of the prediction error covariance matrix.

With the application of such a technique the poles of the closed-loop transfer function are located in any desired locations, defined by the roots of polynomial T (z −1 ) = 1 + τ1 z −1 + . . 12) so that the desired characteristics, expressed in terms of closed-loop requirements, are satisfied. The major points in favor of the pole-assignment technique are that it provides a robust regulator against modeling errors and can cope with nonminimum phase systems [2, 12]. 2 Indirect Self-tuning Voltage Regulator Design 43 The first step in pole-assignment design is to decide the location of closedloop poles.

19) 3 Voltage and Current Phasor Identification The first task faced in voltage control design is to identify voltage and current phasor components at various frequencies. The problem is essentially to evaluate the coefficients of the Fourier series of a periodic time signal, assuming its periodicity is known. It is a well-known problem and various approaches have been used to solve it. In this chapter, after briefly recalling the classification of the methods, attention will be focused on the Kalman filtering technique.

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