Zishun Peng

TL;DR: An improved droop control strategy incorporating the coupling compensation and virtual impedance and an improved particle swarm optimization algorithm incorporating the multi-swarm and multi-velocity is proposed to improve the efficiency and stability of the microgrid.

TL;DR: A novel droop control with coupling compensation and inertia is proposed for a microgrid to achieve high dynamic performance and stability of distributed generation units and the simulation and experimental results validate the excellent performance of the MMPSO and the effectiveness of the novelDroop control method.

TL;DR: An enhanced particle swarm optimization with multi-swarm and multi-velocity (MMPSO) is proposed, which can quickly discover more useful global information and local information, helping prevent particles from falling into local optimum and improving optimization precision of the algorithm.

TL;DR: Based on the swarm intelligent algorithm, a novel adaptive delay-time control method of the Si/SiC hybrid switch in an inverter is proposed to achieve higher efficiency than the traditional fixed delay time.

TL;DR: In this article, a variable-frequency current-dependent switching strategy combining the variable switching pattern strategy, and the variable pulsewidth modulation (PWM) frequency strategy was proposed to solve the overcurrent stress of the internal SiC MOSFET that turns on earlier and off later.