학술논문
Artificial Neural Network Based Power Quality Improvement For Grid Connected Wind Power System Using PMSG and SEPIC Converter
Document Type
Conference
Author
Source
2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE) Energy, Materials and Communication Engineering (ICEMCE), 2023 International Conference on. :1-6 Dec, 2023
Subject
Language
Abstract
Wind energy is attractive into a highly valuable energy source. To meet the grid connections criteria in light of the growing penetration of wind power, changes are needed. The purpose of this chapter is to learn how to control output and discuss the output regulator of a Permanent Magnet Synchronous Generator (PMSG) that is connected to a utility for wind power generation. The unit powered by wind turbine is regulated by a Sepic converter by PMSG. In order to ensure that PMSG’s power transmission can be commercially successful, their actual and reactive powers are strictly regulated. PI controller is contrasted with the suggested technique. Using MATLAB/Simulink, the effectiveness of the suggested approach and Sepic converter is proven.