This study presents a simple voltage oriented vector control scheme to regulate active and reactive power in a grid connected variable speed wind electrical system that consists of permanent magnet synchronous generator and matrix converter, which enables the maximum power tracking in wind electrical systems. The maximum extractable power from wind is derived from power curves and set as reference active power. Reactive power reference is chosen as zero. The deviations in powers are processed by proportional and integral (PI) controllers which vary the voltage gain of MC through which the desired regulation of powers is carried out. Since the relationship between wind speed and reference active power is nonlinear, single PI controller is insufficient, hence gain scheduling is required to adjust the controller parameters in response to changes in wind speeds. The controller parameter change is abrupt in conventional gain scheduling which leads to unstable performance. To avoid this, neural network-based PI (NN-PI) is designed which is more robust. In the presented work, both conventional gain scheduled PI and NN-PI are applied to validate the suggested voltage oriented control for power regulation. Simulation and experimental studies are presented to confirm the effective functionality of the system.

This work presents the control design for compensating reactive power requirement of induction generator (IG) in wind generation systems using STATic COMpensator (STATCOM). A mathematical model of IG is developed in synchronously rotating d-q-0 axis. The STATCOM is realised using voltage source inverter for which the switching function model is derived and employed here. Instantaneous p-q theory and symmetrical components theory are considered for reference current generation. The current control uses an optimal proportional controller designed using linear quadratic regulator (LQR) approach. Comparative analysis is also made between hysteresis current control and LQR. Simulation and experimental results indicate that the suggested control techniques make the supply power factor close to unity.

This study focuses on sensor fault-tolerant control (FTC) for grid-connected variable speed wind electrical systems (VSWES) to regulate active and reactive power flow through the grid. The closed-loop performances of the VSWES massively depend on the precise voltage and current sensing. An abrupt failure or faulty measurement in one of the sensors may lead to system malfunction. To overcome this, the fault has to be detected and handled quickly. A simple and intelligent fault detection and isolation (FDI) algorithm is proposed in this study with which FTC is implemented for VSWES. The FDI is derived from model-based observer schemes, which are developed using neural networks. The wind electrical system with permanent magnet synchronous generator and matrix converter is adopted here. The grid voltage-oriented control scheme is developed for power flow regulation. The simulation and experimental results are presented to illustrate the effective functionality of the system.