Research on current-sharing control method of energy storage device

Author(s):  
Zhang Qiang ◽  
Wang Rui ◽  
Wang Siyue
2018 ◽  
Vol 180 ◽  
pp. 02011 ◽  
Author(s):  
Petru Valentin Radu ◽  
Adam Szeląg

The paper presents a Simulink model of a DC metro traction supply system with a stationary energy storage device (SESD). The simulation model consists of traction substations, a train model, and an energy storage device (ESD) with supercapacitors (SC). A new energy management strategy considering the line voltage and current, SC state of charge (SOC) and SC charging and discharging current is proposed. This method can improve the energy savings and manage the remaining energy. Simulation results provided in this paper justify the control method. The proposed model can be used with different ESD, such as batteries.


2013 ◽  
Vol 724-725 ◽  
pp. 855-861
Author(s):  
Yi Chen ◽  
Bu Han Zhang ◽  
Cheng Xiong Mao ◽  
Xiao Kang Dai

In order to stabilize fluctuations caused by intermittent energy and complement different storage elements advantages, we designed a hybrid energy storage combining VRB pack with EDLC bank. This hybrid energy storage device has two DC/DC convertors; DC/DC(A) controls VRB pack's power and DC/DC(B) stabilizes the voltage on DC bus. By doing this, it is easy to make power schedule for VRB according to renewable energy forecast and SOC of battery, while EDCL bank stabilizes the short-time power fluctuation, most of which result from forecasting error. To achieve the above goals, self-adaptive PID controller based on BP neuron network is applied in DCDC(B), for switching-mode convertor is strongly non-linear system and traditional PID controller is not suitable to the case of large changed load. Simulations in Matlab Simulink are presented to testify the novel control method and show this hybrid energy storage device can work efficiently.


2014 ◽  
Vol 530-531 ◽  
pp. 1003-1006 ◽  
Author(s):  
Jin Liu ◽  
Shu Qiang Zhao

In order to maximize the match between the output of the Hybrid Wind/Photovoltaic/ Energy storage System and the scheduling curve,the article takes the measure that optimizes and controls the energy storage device one day ahead.Due to the fuzziness of the wind and photovoltaic output, the optimal control method of energy storage is proposed based on a fuzzy dependent-chance programming theory. This method considers the constraints of the energy storage device including the power output and energy constrain, and the matching degree of each time is represented by credibility value.So the final goal is maximizing the mean value of the total credibility within a day of 96 periods.The genetic algorithm based fuzzy simulation is used to solve the model,then we can get the different periods of energy storage charge and discharge power corresponding to the credibility of maximum mean value.


Author(s):  
Bincy Lathakumary Vijayan ◽  
Amina Yasin ◽  
Izan Izwan Misnon ◽  
Gopinathan M. Anilkumar ◽  
Fathalla Hamed ◽  
...  

Materials ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4000
Author(s):  
Eunhwan Kim ◽  
Juyeon Han ◽  
Seokgyu Ryu ◽  
Youngkyu Choi ◽  
Jeeyoung Yoo

For decades, improvements in electrolytes and electrodes have driven the development of electrochemical energy storage devices. Generally, electrodes and electrolytes should not be developed separately due to the importance of the interaction at their interface. The energy storage ability and safety of energy storage devices are in fact determined by the arrangement of ions and electrons between the electrode and the electrolyte. In this paper, the physicochemical and electrochemical properties of lithium-ion batteries and supercapacitors using ionic liquids (ILs) as an electrolyte are reviewed. Additionally, the energy storage device ILs developed over the last decade are introduced.


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