Control Strategy of Photovoltaic DC Microgrid Based on Fuzzy EEMD

• Published in: Tehnički vjesnik Vol. 29; no. 5; pp. 1762 - 1769
• Main Authors: Liang, Chunhui, Ren, Weihong, Cheng, Peng, Ding, Chao
• Format: Journal Article Web Resource
• Language: English
• Published: Slavonski Baod University of Osijek 01.10.2022; Josipa Jurja Strossmayer University of Osijek; Strojarski fakultet u Slavonskom Brodu; Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek; Građevinski i arhitektonski fakultet Osijek; Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
• Subjects: Algorithms; Comparative analysis; Control methods; DC microgrid; Distributed generation; EEMD; Electric power production; Energy storage; Fuzzy control; Hybrid systems; Optimization; power fluctuations; Solar energy industry
• ISSN: 1330-3651; 1848-6339
• DOI: 10.17559/TV-20220421043045

In order to improve the accuracy of power time series regulation of DC microgrid photovoltaic power generation and its hybrid energy storage system, a set of empirical mode decomposition (EEMD) control strategy based on fuzzy algorithm optimization is proposed in this paper. Through EEMD decomposition of photovoltaic power data, a set of eigenmode component functions is obtained, the EEMD power decomposition method is designed, and the EEMD optimization fuzzy control strategy is established. Finally, the effectiveness and accuracy of the controller are verified by simulation experiments. The results show that compared with the ordinary EEMD power decomposition control method, the proposed method can achieve better control effect under different power fluctuation characteristics, improve the strong randomness and fluctuation of distributed generation fluctuation, and has strong applicability.