Fuzzy Logic-Based Energy Management of Dispatchable and Non-dispatchable Energy Units in DC Microgrid with Energy Storage System

被引：0

作者：

Taye B.A. ^{[1
]}

Choudhury N.B.D. ^{[1
]}

机构：

[1] Department of Electrical Engineering, National Institute of Technology, Assam, Silchar

来源：

SN Computer Science | / 4卷 / 5期

关键词：

DC microgrid; Dispatchable energy source; Droop control; Energy management; Fuzzy logic; Non-dispatchable energy source; Renewable energy sources;

D O I：

10.1007/s42979-023-02027-1

中图分类号：

学科分类号：

摘要：

DC Microgrid has become a new research idea in the last two decades due to its advantage and simplicity over AC microgrid. However, there are still many problems in DC microgrids, like voltage regulation, current sharing, and power and energy management. This paper aims to extract the maximum potential of renewable energy sources by performing the proper energy management system and reducing the stress of storage devices by avoiding overcharging and discharging with the given voltage deviation and current sharing in a DC microgrid. The PV, wind, and battery of the islanded DC microgrid components are connected to the DC grid by their respective converters and thoroughly modeled to examine the system's operation. Solar and wind power generation have been operated in MPPT mode to extract the maximum possible energy resources. Droop control and fuzzy logic controller are modeled in detail for the DC microgrid's best distribution of dispatchable and non-dispatchable energy sources management and voltage regulation. Fuzzy logic-based energy management of dispatchable and non-dispatchable energy units in a DC microgrid with an energy storage system is explored using a combination of theoretical analysis, mathematical modeling, and simulation studies. The methodology has begun by choosing the proper control parameters for energy management after the detailed modeling of the microgrid components. Consequently, methods for managing the internal voltage stability of each converter, managing power flow between the source and load, maintaining voltage regulation, and controlling the battery state of charge are proposed. These methods include internal control, MPPT method, droop control, and fuzzy logic control. The validation of proposed approach is validated using MATLAB/Simulink simulation. Case studies are presented to analyze the result. The result shows the effectiveness of the proposed method. In general, a fuzzy logic-based energy management method combined with other controllers is an effective method for managing energy in a DC microgrid. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

引用

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