Particle swarm optimization based sliding modecontrol of variable speed wind energy conversionsystem

The main difficulty associated with decentralized energy sources is that they generally do not participate in adjustment to these systems (voltage control, frequency,

In the above rated region, the pitch angle and the electromagnetic torque are the control variables that are used to reduce the structural loads and to maintain the

About the convergence of PSO, Van Den Bergh and Engelbrecht (2006) looked at the trajectories of the particles and proved that each particle converges to a stable point

The main advantages of the proposed sliding mode power control strategy, according to the available literature [7], [8], [12], [15], [17] are: simplicity and robustness

Indeed, the proposed solution to the problem of wind turbine maximum power point tracking (MPPT) control strat- egy relies on the estimation of the aerodynamic torque using a

Sensorless Control of Doubly-Fed Induction Generator-Based Wind urbines using a High-Order Sliding Mode Observer... Sensorless Control of Doubly-Fed Induction Generator-Based Wind

The PSO algorithm is employed so as the particles can find the optimal position, lead particles to high probability area, prevent the particles degradation; then genetic algorithm

‘MPPT for PM wind generator using gradient approximation’, Energy Conversion and Management 50 (1), pp. ‘Maximum power point tracker of wind energy conversion system’,