IMPROVE POWER PLANT CONTROL QUALITY TO STABILIZE THE GRID SYSTEM

Abstract

This paper presents the power plant systems in Vietnam, when making connections between the plants
and the national grid system, the paper introduces the current conventional power source and control
method. and since then build intelligent control method and apply it in practice today.
Intelligent control has shown ways to design controllers and apply soft computing tools as well as
newly applied algorithms. With increasingly high technical requirements, the grid's backup is getting
smaller and smaller and the grid system is expected to be flexible and intelligent to meet the increasing
requirements of automation, especially the power industry is prioritizing. digital transformation in the
power plant system with the Internet of Things (IoT) and using artificial intelligence (AI) to apply it to
production practices and improve operational efficiency and labor productivity, creating high economic
value for the electricity industry and the country. Currently, intelligent control is being interested by
scientists and businesses, wishing to apply technology and be at the forefront of technology and modernize
the production process of enterprises.
In this paper, the grid stability control problem is presented through the design of the ANN-MPC
controller to control hydro turbines, in which the simulation results are compared with the obtained results.
from the ANN-MPC controller and compare with the PID controller.