Open AccessTracking Error Fitness Function V/F Control of Micro-Grid Based on Genetic Algorithm
Author(s) -
Leiming Ma,
Lingfei Xiao,
Min Xu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/752/1/012002
Subject(s) - fitness function , control theory (sociology) , genetic algorithm , grid , computer science , offset (computer science) , tracking error , voltage , range (aeronautics) , algorithm , control (management) , mathematics , mathematical optimization , engineering , artificial intelligence , geometry , aerospace engineering , electrical engineering , programming language
This paper presents a method of V/f control parameters tuning for micro-grid based on genetic algorithm. Firstly, the fitness function which representing the tracking error of V/f control system in micro-grid is established. The solving path of genetic algorithm is optimized by using the offset threshold condition between the output voltage and the instruction voltage of the load side, leading to that the individuals with high priority will tend to the optimal solution in the target solution, obtaining the global optimal V/f control parameters. Secondly, the frequency domain response characteristics of equivalent output impedance of V/f control system are analyzed, and the influence of PI parameters on the whole control system is compared. The results shows that the V/f control parameters tuning based on genetic algorithm with the tracking error fitness function can effectively guarantee a constant output of micro-grid’s voltage and frequency. The effectiveness and the advantages of the method is verified by simulation result, which indicated that the proposed method is easy to implement and has a wide range of applications.