Adaptive Power Allocation Strategy Based on Fuzzy Logic Algorithm for Hybrid Energy Storage System in DC Microgrid

被引：0
|
作者：
Yan L. [1 ]
Liu J. [2 ]
Shi M. [1 ]
Chen X. [1 ]
Wen J. [1 ]
机构：
[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei Province
[2] State Grid Hubei Electric Power Company Limited Economic Research Institute, Wuhan, 430074, Hubei Province
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 09期
关键词：
Adaptive droop control; DC microgrid; Fuzzy logic algorithm; Virtual capacitance droop control;
D O I：
10.13334/j.0258-8013.pcsee.172680
中图分类号：
学科分类号：
摘要：
DC microgrid is widely used because of its high efficiency and strong reliability. The hybrid energy storage system (HESS) in DC microgrid is developed to fully take advantage of each energy storages (ES) unit, and it can better suppress the fluctuation caused by renewable energy. The traditional droop control can achieve constant power allocation but cannot realize the unbalanced power allocation according to frequency characteristics of different ESs. Extended virtual capacitance droop control can achieve power allocation according to the frequency characteristics. However, it is easily affected by the unbalanced impedance in the system. In this paper, an adaptive droop controller was constructed based on fuzzy logic algorithm to eliminate the influence of the line resistance and can achieve desirable power allocation in HESS. The simulation results in PSCAD/EMTDC verify the effectiveness of the proposed adaptive droop controller. It has been proved that favorable power allocation can be obtained under different scenarios with good adaptability and scalability. © 2019 Chin. Soc. for Elec. Eng.
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页码：2658 / 2669
页数：11
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