A modular power conversion system for zinc-bromine flow battery based energy storage system

Author(s):  
Jong-Ung Lim ◽  
Seung-Jun Lee ◽  
Kyoung-Pil Kang ◽  
Younghoon Cho ◽  
Gyu-Ha Choe
2019 ◽  
Vol 12 (3) ◽  
pp. 392-399 ◽  
Author(s):  
Jianguo Li ◽  
Xiuping Lv ◽  
Biao Zhao ◽  
Yajing Zhang ◽  
Qiaojie Zhang ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1482
Author(s):  
Ning Gao ◽  
Xin Lin ◽  
Weimin Wu ◽  
Frede Blaabjerg

Adopting the battery energy storage system is an effective way to compensate the continuously growing fluctuating power generated by renewable sources. The power conversion system is considered as one of the core equipment used for interfacing battery packs to the grid in a battery energy storage system. This paper aims to apply an improved active damping control to a grid-tied power conversion system with LCL filter to attenuate its inherent resonance characteristics. The anti-interference ability is enhanced by estimating the second-order derivation of grid-injected current based on a modified disturbance observer. Meanwhile, the negative effects of parameter mismatch are equivalent to unmeasurable disturbances, which are possible to be compensated by subtracting the estimated values from the modulated voltage references. Moreover, the design method and robustness issue of the disturbance observer are discussed in detail. The presented control algorithm is implemented based on Simulink and dSpace. Detailed simulation results are provided, which can verify the feasibility and correctness of control strategy. Furthermore, an experimental prototype rated at 2.3 kW/110 V is constructed. The experimental results confirm that the presented control method is effective to be applied in the power conversion system (PCS).


2019 ◽  
Author(s):  
Aladsair J. Crawford ◽  
Vilayanur V. Viswanathan ◽  
Md Jan E. Alam ◽  
Patrick J. Balducci ◽  
Di Wu ◽  
...  

Batteries ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 20 ◽  
Author(s):  
Md. Akter ◽  
Yifeng Li ◽  
Jie Bao ◽  
Maria Skyllas-Kazacos ◽  
Muhammed Rahman

The battery energy storage system has become an indispensable part of the current electricity network due to the vast integration of renewable energy sources (RESs). This paper proposes an optimal charging method of a vanadium redox flow battery (VRB)-based energy storage system, which ensures the maximum harvesting of the free energy from RESs by maintaining safe operations of the battery. The VRB has a deep discharging capability, long cycle life, and high energy efficiency with no issues of cell-balancing, which make it suitable for large-scale energy storage systems. The proposed approach determines the appropriate charging current and the optimal electrolyte flow rate based on the available time-varying input power. Moreover, the charging current is bounded by the limiting current, which prevents the gassing side-reactions and protects the VRB from overcharging. The proposed optimal charging method is investigated by simulation studies using MATLAB/Simulink.


2013 ◽  
Vol 433-435 ◽  
pp. 1197-1200
Author(s):  
Xiao Dong Wang ◽  
Lei Zhang ◽  
Hong Fang Xie ◽  
Ying Ming Liu ◽  
Xiao Wen Song

With the rapid increase of the installed capacity of wind power, the output power fluctuations of wind park had a great influence on the stability of the grid. Energy storage system in the wind farm can smooth the fluctuations of wind power effectively, and improve grid ability to admit wind power. The model of energy storage system based on vanadium redox flow battery was builded according to the state of charge, voltage and current characteristics. A kind of power control strategy with low-pass filtering was designed based on the new system model. Simulation results show that this model is more closer to the actual vanadium flow battery characteristics, the control strategy based on low-pass filtering can stabilize the output fluctuations of the wind farm power.


2016 ◽  
Vol 28 (11) ◽  
pp. 2238-2243 ◽  
Author(s):  
Jan Winsberg ◽  
Tobias Janoschka ◽  
Sabine Morgenstern ◽  
Tino Hagemann ◽  
Simon Muench ◽  
...  

Author(s):  
Caio Guilherme da Silva Moraes ◽  
Sergio Luis Brockveld Junior ◽  
Marcelo Lobo Heldwein ◽  
Andre Stanzani Franca ◽  
Anderson Silva Vaccari ◽  
...  

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