Many papers discuss the Maximum Power Point Tracking (MPPT) control simulation "Perturb and Observe" (P&O), while its realization practice in systems remains a major challenge. The purpose of this research to study experimentally by optimizing wind turbines PMSG connected DC-DC converter (Boost) resistive load. proposed MPPT P&O algorithm modification will be analyzed comparing ...

Abstract In a wave power generation system, traditional particle swarm optimization (PSO) is prone to premature convergence and local optimal solution when it used control the maximum tracking. Therefore, an improved PSO proposed, simulated annealing adaptive (SAAPSO) constructed. The algorithm controls inertia weight coefficient factor by hyperbolic tangent function makes nonlinear change. Usi...

Abstract Wind energy is one of the most important clean energies and variable speed constant frequency technology widely used in wind conversion systems. Maximum power point tracking (MPPT) essential for a generation system. Concerning current research on MPPT algorithm, this paper studies principle, characteristics, reported improvement strategies principal algorithms. Through comparison simul...

While digital predistortion (DPD) usually targets only the linearity performance of radio–frequency (RF) power amplifier (PA), this work addresses more than a single PA metric exploiting multi-objective optimization approach. We present predistorer learning procedure based on constrained algorithm that maximizes RF output power, while guaranteeing prescribed level, i.e., maximum normalized mean...