4.7 Article

Improving the Performance of DC Microgrids by Utilizing Adaptive Takagi-Sugeno Model Predictive Control

期刊

CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
卷 9, 期 4, 页码 1472-1481

出版社

CHINA ELECTRIC POWER RESEARCH INST
DOI: 10.17775/CSEEJPES.2021.08920

关键词

Index Terms-DC microgrids (MG); model predictive control (MPC); pulsed power loads (PPLs); nonlinear power observer; Takagi-Sugeno (TS) fuzzy model

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This study addresses the issue of pulsed power loads in DC microgrids by applying the Takagi-Sugeno (TS) model and providing a nonlinear power observer. The results show that the TS-MPC approach with adjusted pulsed power loads effectively shares power and regulates bus voltage under various load conditions, while greatly reducing the detrimental impacts of the pulse load.
In naval direct current (DC) microgrids, pulsed power loads (PPLs) are becoming more prominent. A solar system, an energy storage system, and a pulse load coupled directly to the DC bus compose a DC microgrid in this study. For DC microgrids equipped with sonar, radar, and other sensors, pulse load research is crucial. Due to high pulse loads, there is a possibility of severe power pulsation and voltage loss. The original contribution of this paper is that we are able to address the nonlinear problem by applying the Takagi-Sugeno (TS) model formulation for naval DC microgrids. Additionally, we provide a nonlinear power observer for estimating major disturbances affecting DC microgrids. To demonstrate the TS-potential, we examine three approaches for mitigating their negative effects: instantaneous power control (IPC) control, model predictive control (MPC) formulation, and TS-MPC approach with compensated PPLs. The results reveal that the TS-MPC approach with adjusted PPLs effectively shares power and regulates bus voltage under a variety of load conditions, while greatly decreasing detrimental impacts of the pulse load. Additionally, the comparison confirmed the efficiency of this technique.

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