Novel Optimal Configuration of Multiple Hybrid Energy Etorage Combained with Wind Farm in Smart Grid

2014 ◽  
Vol 556-562 ◽  
pp. 1826-1829
Author(s):  
Jia Ming Li ◽  
Peng Li

The development and application of energy storage technology was described. Based on wind power fluctuation limit and system peaking demand in the smart grid, a novel optimized operation strategy between wind power and energy storage devices. The correctness of the strategy is verified by numerical example.

2012 ◽  
Vol 608-609 ◽  
pp. 487-493 ◽  
Author(s):  
Zuo Xia Xing ◽  
Guan Feng Zhang ◽  
Jin Song Liu ◽  
Xing Jia Yao

Since distributed power generation equipment such as wind power contain electric power fluctuation connected into the power grid, hybrid energy storage (HESS) equipment for power compensation is used to solve the problems of reliability and operation of the utility power grid. Constant power control and Fuzzy-Rules-based control of AC-DC and BESS is proposed for smoothing the random wind power fluctuations, considering the operating constraints of the HESS, such as state of charge (SOC) and wind power (Pout). The simulation is accomplished by using a 9MW wind farm and the HESS in Matlab, The results show that by the proposed control methods of the bi-directional DC-DC converter and the DC-AC converter, the energy storage system can smooth the wind power outputs and provide reactive power support to the grid.


2011 ◽  
Vol 347-353 ◽  
pp. 2869-2874
Author(s):  
Peng Yu ◽  
Ogidi Stephen Oodo ◽  
He Ping Zou ◽  
Dong Wang ◽  
Hui Sun

In this paper, the wind power fluctuation is divided into three categories. For the purpose of balancing all kinds of wind power fluctuation to enhance the penetration levels of wind power, we propose an active-parallel hybrid energy storage system (APHESS). The APHESS is composed of a battery, a supercapacitor, and two charge-discharge controllers. By combining the battery with the supercapacitor, the APHESS obtains the enhanced energy storage performance. Therefore, the investment cost can be reduced. By the reasonable design on the operation mode of APHESS, the APHESS can interchange power precisely with the wind power system. Furthermore, the battery and supercapacitor can suppress separately different kinds of wind power fluctuation to make their own energy storage properties fully utilized. The APHESS can be widely used in wind farm for the real-time regulation on wind power


2013 ◽  
Vol 448-453 ◽  
pp. 2799-2806
Author(s):  
Ming Ding ◽  
Jia Xie

The intermittency and volatility of wind power has brought adverse effects on the large-scale wind power integration. The hybrid energy storage system coordinated with wind farms has been set up in order to reduce the volatility of output power of wind farms strongly. The allocation plan between high-frequency and low-frequency wind power can be determined with low-pass filter method in order to determine the restraining target of different energy storage devices. According to the capacity and the state of charge of the batteries and super capacitor, the power reference values can be corrected with fuzzy adaptive control method and exceeded power deviation of the target would be allocated between the two kinds of energy storage devices. The reasonableness of the proposed models is verified by case study results.


2020 ◽  
Vol 194 ◽  
pp. 02003
Author(s):  
Li Jianlin ◽  
Tan Yuliang

In a large-scale wind power generation system, active power fluctuation caused by random wind speed will have a serious impact on the power grid. In order to limit the power fluctuation that wind farm transmits to the power grid and protect the energy storage battery, this paper has proposed a model predictive control method of hybrid energy storage by optimizing the objective function and constraint conditions. Firstly, the mathematical model of predictive control method has been established in a wind power system with hybrid energy storage. Then, with the goal of minimum energy storage output and maximum charging-discharging capacity of the super-capacitor, the predictive control process has been optimized. Meanwhile, the constraint on the output power of the battery has been dynamically changed to reduce its charging-discharging switching frequency, and the model predictive control strategy of the hybrid energy storage has been formed. Finally, compared with the model prediction control method of single energy storage, based on a wind farm data, the simulation results show that the proposed method can smooth wind power fluctuation, reduce the time that the power does not satisfy the fluctuation requirements, ensure the capability of the super-capacitor, and reduce the charging-discharging switching frequency of the energy storage battery.


Nanoscale ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 4040-4050 ◽  
Author(s):  
Yi-Lin Liu ◽  
Cheng Yan ◽  
Gui-Gen Wang ◽  
Fei Li ◽  
Qi Kang ◽  
...  

Selenide-rich bimetallic selenide spheres with core–shell nanostructure were rationally designed and synthesized towards superior battery-supercapacitor hybrid device as the cathode electrode by selenizing hydrothermal-derived Ni–Co spheres.


Ionics ◽  
2020 ◽  
Author(s):  
Xu Yang ◽  
Enshan Han ◽  
Yanzhen He ◽  
Jiabao Liu ◽  
Yahong Tian ◽  
...  

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