Open AccessPerformance improvement of decentralized control for bidirectional converters in a DC micro-grid
Author(s) -
Seyed Mojtaba Abbasi,
Mehdi Nafar,
Mohsen Simab
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i3.pp1505-1520
Subject(s) - voltage droop , converters , controller (irrigation) , control theory (sociology) , computer science , grid , automatic frequency control , voltage , islanding , power (physics) , genetic algorithm , electric power system , voltage source , engineering , control (management) , mathematics , electrical engineering , telecommunications , artificial intelligence , agronomy , physics , geometry , quantum mechanics , machine learning , biology
In this paper, using a neural controller and a genetic optimization algorithm to control the voltage as well as, control the frequency of the grid along with the management of the reactive power of the micro-grid to control the output power during islanding using Simultaneous bilateral power converters with voltage/frequency droop strategy and optimization of PI coefficients of parallel power converters by genetic-neural micro-grid algorithm to suppress AC side-current flow that increases stability and improvement of conditions frequency and voltage are discussed. Given the performance of the micro-grid in two simulation scenarios, namely transition from on-grid to off-grid, the occurrence of a step change in load in island mode as well as return to working mode is connected. The ability to detect the robust performance and proper performance of two-level neural controller. The controller performance time was also very good, indicating the appropriate features of the method used to design the controller, namely two-level neural, genetics. The main advantage of this method is its simplicity of design. The method used is also efficient and resistant to changes in the system, which results from the simulations.