TITLE:
A Study of Discrete-Time Optimum Current Controller for the Virtual Synchronous Generator under Constraints
AUTHORS:
Atushi Umemura, Rion Takahashi, Junji Tamura
KEYWORDS:
Wind Energy Generation, Virtual Synchronous Generator, Electric Current Control, Optimal Control, Discreate-Time Model Following Control, Multi-Objective Genetic Algorithm
JOURNAL NAME:
Smart Grid and Renewable Energy,
Vol.11 No.1,
January
27,
2020
ABSTRACT: In recent years, power generation using renewable energy sources has been
increasing as a solution to the global warning problem. Wind power generation
can generate electricity day and
night, and it is relatively more efficient among the renewable energy sources. The penetration
level of variable-speed wind turbines continues to increase. The interconnected
wind turbines, however, have no
inertia and no synchronous
power. Such devices can have a serious impact on the transient stability of the
power grid system. One solution to stabilize such grid with renewable energy sources is to
provide emulated inertia and synchronizing power. We have proposed an optimal
design method of current control for virtual synchronous generators. This paper
proposes an optimal control method that can follow the virtual generator model
under constrains. As a result, it is shown
that the proposed system can suppress the peak of the
output of semiconductor device under instantaneous output voltage drop.