Fast estimation of voltage and current phasors in power networks using an adaptive neural network

A new scheme for power factor correction and active filtering for six-pulse converters loads

“…The schemes presented in Reference [17] makes it possible to perform any real-world task described by a certain Boolean function via an SLP or a dynamic neuron. For a few years, ANN techniques have been widely explored for signal decomposition in electrical systems and are very promising in the field, as discussed in References [18][19][20][21][22][23]. Indeed, the learning capacities of the ANNs allow an online adaptation to every changing parameter of the electrical system, e.g., nonlinear and time-varying loads.…”

“…In this Subsection, the mathematical formulation of adaptive linear neural network (ADALINE) [18][19][20][21][22][23] is outlined as follows. Consider an arbitrary signalY (t) with Fourier series expansion as…”

“…The proportional-integral (PI) controllers are implemented in daxis and q-axis based on the decoupled state-space equations of the T-type active power filter. The load side dynamics are incorporated in the feed-forward control loop by using two groups of synchronous frame adaptive linear neural networks (SADALINEs) [13][14][15][16][17][18][19][20][21][22][23] in d-axis and q-axis, respectively, for fast estimation of the fundamental components of nonlinear load currents. Besides, a separate proportional-integral (PI) controller is adopted in the outer voltage loop for balancing the active power flow of the voltage source inverter.…”

On-line detection of voltage transient disturbances using ANNs

“…The artificial neural networks had been applied successfully in several topics of the Electrical Engineering, including the detection of some voltage disturbances, [4][5]. The speed and the parallelism of the calculations are the main advantages of these techniques.…”

A Power Frequency Phase and Transient Condition Control through STATCOM in Power System

“…To regulate the voltage in the PCC, a typical double loop PI control strategy was employed using fixed gain. Due to failure or switching, there is a change in the system matrix and in the eigenvalue; also the controller can give uncertain or indefinite results, if the controller integrator saturates in the presence of control error that becomes too large under the condition of sudden changes of load, configuration of the power system To have the dynamic response satisfactory, some techniques nonlinear using ANN and fuzzy logic have been sent to adapt the gain of the STATCOM PI controller during dynamic perturbations [8][9][10][11]. The main contribution of the work described is to highlight a new PI regulator scheme that has the advantage of being cheap, robust and provides better reactive power support compared to the conventional STATCOM PI controller while performing its main task of voltage regulation and not involves the use of intelligent or non-linear control technique that requires rule base or training which is a tedious and costly method of implementation.…”