Masayuki Watanabe

TL;DR: This paper addresses a new online intelligent approach by using a combination of the fuzzy logic and the particle swarm optimization (PSO) techniques for optimal tuning of the most popular existing proportional-integral (PI) based frequency controllers in the ac MG systems.

TL;DR: In this paper, the authors proposed a new method to evaluate an optimum size of battery energy storage system (BESS) at minimal total BESS cost by using particle swarm optimization (PSO)-based frequency control of the stand-alone microgrid.

TL;DR: It is validated that the proposed proposed robust virtual inertia controller successfully provides desired robust frequency support to a low-inertia islanded microgrid against high RESs penetration.

TL;DR: A novel design and analysis of virtual inertia control to imitate damping and inertia properties simultaneously to the microgrid, enhancing frequency performance and stability and the efficiency and robustness are compared with the conventional inertia control.

TL;DR: A self-adaptive virtual inertia control system using fuzzy logic for ensuring stable frequency stabilization, which is required for successful microgrid operation in the presence of high RESs penetration, and shows remarkable performance in transient response improvement and fast damping of oscillations, preserving robustness of operation.