Double-Quadrant State-of-Charge-Based Droop Control Method for Distributed Energy Storage Systems in Autonomous DC Microgrids

被引:387
作者
Lu, Xiaonan [1 ]
Sun, Kai [2 ]
Guerrero, Josep M. [3 ,4 ]
Vasquez, Juan C. [3 ]
Huang, Lipei [2 ]
机构
[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
[2] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
[3] Aalborg Univ, Inst Energy Technol, DK-9220 Aalborg, Denmark
[4] Shandong Univ, Control Sci & Engn Coll, Jinan 250061, Peoples R China
基金
中国国家自然科学基金;
关键词
DC microgrid; distributed energy storage unit (DESU); droop control; state-of-charge (SoC); RENEWABLE ENERGY; GENERATION UNITS; PARALLEL; CONVERTER; INVERTERS; MANAGEMENT; OPERATION; STRATEGY; DESIGN;
D O I
10.1109/TSG.2014.2352342
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
In this paper, a double-quadrant state-of-charge (SoC)-based droop control method for distributed energy storage system is proposed to reach the proper power distribution in autonomous dc microgrids. In order to prolong the lifetime of the energy storage units (ESUs) and avoid the overuse of a certain unit, the SoC of each unit should be balanced and the injected/output power should be gradually equalized. Droop control as a decentralized approach is used as the basis of the power sharing method for distributed energy storage units. In the charging process, the droop coefficient is set to be proportional to the nth order of SoC, while in the discharging process, the droop coefficient is set to be inversely proportional to the nth order of SoC. Since the injected/output power is inversely proportional to the droop coefficient, it is obtained that in the charging process the ESU with higher SoC absorbs less power, while the one with lower SoC absorbs more power. Meanwhile, in the discharging process, the ESU with higher SoC delivers more power and the one with lower SoC delivers less power. Hence, SoC balancing and injected/output power equalization can be gradually realized. The exponent n of SoC is employed in the control diagram to regulate the speed of SoC balancing. It is found that with larger exponent n, the balancing speed is higher. MATLAB/simulink model comprised of three ESUs is implemented and the simulation results are shown to verify the proposed approach.
引用
收藏
页码:147 / 157
页数:11
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