Authors :
B. Mounika; K. Rama Sudha; R . Vijayasanthi
Volume/Issue :
Volume 5 - 2020, Issue 12 - December
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2WABFED
Abstract :
In recent years there is a substantial
improvement in the development of technologies in
electrical power generation and consumption strategies,
involving more electric vehicles (EV’s),smart loads
,renewable energy in smart grids. In this paper, a large
number of EV aggregators are connected to the smart
grid in order to improve the frequency response and an
optimized control strategy is implemented including both
the primary controller and the EV controller when power
mismatch occurs. By operating the power plant
,frequency is stabilized by primary controller and
frequency deviation is controlled by EV controller.
Here both the controllers are PI controllers and the
controller parameters are optimized using Particle
Swarm Optimization.
In recent years there is a substantial
improvement in the development of technologies in
electrical power generation and consumption strategies,
involving more electric vehicles (EV’s),smart loads
,renewable energy in smart grids. In this paper, a large
number of EV aggregators are connected to the smart
grid in order to improve the frequency response and an
optimized control strategy is implemented including both
the primary controller and the EV controller when power
mismatch occurs. By operating the power plant
,frequency is stabilized by primary controller and
frequency deviation is controlled by EV controller.
Here both the controllers are PI controllers and the
controller parameters are optimized using Particle
Swarm Optimization.
