Hierarchical Coordinated Control of DC Microgrid Based on Recursive Fuzzy Neural Network Algorithm

Abstract

In order to realize the stable operation of the DC microgrid, a hierarchical coordinated control method of the DC microgrid based on the recursive fuzzy neural network algorithm is designed in this article. Based on the analysis of the working mode and topology of the DC microgrid, the droop control coefficient is calculated through power flow calculation, and then, a three-layer control strategy is designed combined with a hierarchical coordinated control algorithm to realize the distributed coordinated control of DC microgrid. Combined with the recursive fuzzy neural network algorithm, the real-time amplitude limiting and convergence of the output of the distributed coordination controller are realized. Experimental results show that under the control of this method, the changes in current and voltage at each port of the DC microgrid are relatively stable during off-grid switching. In addition, this method effectively reduces the fault rate of power grid lines, which fully proves the feasibility and reliability of this method.