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

Hui Hwang Goh, Hui Hwang Goh and Jiahui Kang, Jiahui Kang and Dongdong Zhang, Dongdong Zhang and Hui Liu, Hui Liu and Wei Dai, Wei Dai and Tonni Agustiono Kurniawan, Tonni Agustiono Kurniawan and Kai Chen Goh, Kai Chen Goh (2023) Improving the Performance of DC Microgrids by Utilizing Adaptive Takagi-Sugeno Model Predictive Control. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 9 (4). pp. 1472-1481.

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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.

Item Type: Article
Uncontrolled Keywords: -
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Technology Management and Business > FPTP
Depositing User: Mr. Mohamad Zulkhibri Rahmad
Date Deposited: 16 Jan 2024 07:27
Last Modified: 16 Jan 2024 07:27

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