scholarly journals SOC Estimation of Lead Carbon Batteries Based on the Operating Conditions of an Energy Storage System in a Microgrid System

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 33
Author(s):  
Yuanyuan Chen ◽  
Zilong Yang ◽  
Yibo Wang
Keyword(s):  
Wavelet Transform ◽  
Energy Storage ◽  
Storage System ◽  
Estimation Method ◽  
Energy Storage System ◽  
Operating Conditions ◽  
Estimation Methods ◽  
Extend Kalman Filter ◽  
Practical Applications ◽  
Soc Estimation

The environment for practical applications of an energy storage system (ESS) in a microgrid system is very harsh, and therefore actual operating conditions become complex and changeable. In addition, the signal of the ESS sampling process contains a great deal of system and measurement noise, the sampled current fluctuates significantly, and also has high frequency. In this case, under such conditions, it is difficult to accurately estimate the state of charge (SOC) of the batteries in the ESS by common estimation methods. Therefore, this study proposes a compound SOC estimation method based on wavelet transform. This algorithm is very suitable for microgrid systems with large current, frequent fluctuating conditions, and high noise interference. The experimental results and engineering data show that the relative error of the method is 0.5%, which is much lower than the extend Kalman filter (EKF) based on wavelet transform.

scholarly journals Research on Dynamic Equivalent SOC Estimation of Hybrid Energy Storage System Based on Sliding Mode Observer

2021 ◽  
Vol 9 ◽  
Author(s):  
Yifei Wang ◽  
Wei Jiang ◽  
Chengwei Zhu ◽  
Zhiqi Xu ◽  
Yifan Deng
Keyword(s):  
Energy Storage ◽  
Real Time ◽  
Sliding Mode ◽  
Storage System ◽  
Estimation Method ◽  
Energy Storage System ◽  
Sliding Mode Observer ◽  
Hybrid Energy ◽  
Soc Estimation ◽  
Hybrid Energy Storage

This article proposes a sliding mode observer based dynamic equivalent state of charge (ESOC) estimation method for hybrid energy storage system (HESS). Since different types of energy storage components and power electronics circuit are coupled in the HESS, the traditional SOC estimation method cannot reflect the real-time operation characteristics of the HESS. To tackle this problem, a sliding mode observer based on the model of the HESS is built in this article. By collecting the corresponding voltage and current signals, the internal parameters of energy storage elements can be observed accurately in real time. The dynamic ESOC is further defined with the idea of real-time charge balance to reflect the accurate available capacity of the HESS. Finally, the simulation results based on MATLAB/Simulink model are given to verify the feasibility of the proposed dynamic ESOC.

The Battery Management System Applied in Smart Grid Energy Storage System

2012 ◽  
Vol 608-609 ◽  
pp. 1066-1073
Author(s):  
Bin Li ◽  
Min Xin Zheng ◽  
Bo Jin Qi ◽  
Xiao Wei Du ◽  
Qing Sen Yang
Keyword(s):  
Energy Storage ◽  
Smart Grid ◽  
Management System ◽  
Storage System ◽  
Estimation Method ◽  
Energy Storage System ◽  
Correction Method ◽  
Battery Management System ◽  
Battery Management ◽  
Soc Estimation

This paper describes the structure of energy storage system in smart grid, and analyzes the battery management system applied in the energy storage system. Battery temperature’s acquisition mode and the anti interference measures are studied. A battery state-of-charge (SOC) estimation method using the extreme accelerate correction method is proposed and the method is feasible to ensure the accuracy of SOC estimation. A battery voltage failure threshold table is constituted by extracting the important experimental data, and the safe using of the battery can be ensured by querying the threshold table. Now the battery management system could meet the needs of the actual operation of the battery energy storage system.

scholarly journals State of Charge Estimation of Composite Energy Storage Systems with Supercapacitors and Lithium Batteries

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kai Wang ◽  
Chunli Liu ◽  
Jianrui Sun ◽  
Kun Zhao ◽  
Licheng Wang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Kalman Filtering ◽  
Lithium Batteries ◽  
Estimation Error ◽  
Storage System ◽  
Energy Storage System ◽  
Least Square ◽  
Recursive Least Square ◽  
Soc Estimation ◽  
Composite Energy

This paper studies the state of charge (SOC) estimation of supercapacitors and lithium batteries in the hybrid energy storage system of electric vehicles. According to the energy storage principle of the electric vehicle composite energy storage system, the circuit models of supercapacitors and lithium batteries were established, respectively, and the model parameters were identified online using the recursive least square (RLS) method and Kalman filtering (KF) algorithm. Then, the online estimation of SOC was completed based on the Kalman filtering algorithm and unscented Kalman filtering algorithm. Finally, the experimental platform for SOC estimation was built and Matlab was used for calculation and analysis. The experimental results showed that the SOC estimation results reached a high accuracy, and the variation range of estimation error was [−0.94%, 0.34%]. For lithium batteries, the recursive least square method is combined with the 2RC model to obtain the optimal result, and the estimation error is within the range of [−1.16%, 0.85%] in the case of comprehensive weighing accuracy and calculation amount. Moreover, the system has excellent robustness and high reliability.

scholarly journals Operating conditions of electric energy storage system in DC traction power supply for single-track sections of railways

2021 ◽  
Vol 80 (4) ◽  
pp. 216-224
Author(s):  
V. L. Nezevak
Keyword(s):  
Energy Storage ◽  
Power Supply ◽  
Storage System ◽  
Electric Energy ◽  
Energy Storage System ◽  
Operating Conditions ◽  
Electric Energy Storage ◽  
Electric Energy Storage System ◽  
Traction Power Supply ◽  
Traction Power

Considered are the issues of using electric energy storage system in the traction power supply of direct current of a single-track section. An overview of the main directions of domestic and foreign research in the field of using these systems to increase the capacity and energy efficiency of power supply systems is given. Modeling the operation of energy storage system in traction power supply is based on the calculation of load graphs within the boundaries of inter-substation zones, formed depending on the conditions for the passage of trains and traction load on the railway section. The main provisions of the method for choosing locations and determining the parameters of energy storage system in traction power supply are considered. On the example of one of the inter-substation zones of the Sverdlovsk railway, the influence of the power of the active sectioning station on the increase in the minimum voltage level at the pantograph of the electric rolling stock is shown. The graphs of the degree of charge and the corresponding frequency distributions are given, which make it possible to evaluate the operating conditions of the electric energy storage system depending on the conditions for the formation of the traction load, as well as the graphs of the load of the electric energy storage system and the corresponding charging characteristics for the operating conditions at the sectioning post. On the example of the section under consideration, the dependence of the discharge depth of the electric energy storage system on the nominal energy intensity is shown. Based on the results of calculations, an evaluation was made of the options for passing train batches in the even and odd direction in comparison with the schedule of the performed train operation. The range of variation of the nominal values of power and energy intensity of the electric energy storage system is obtained. Comparison of the accumulation system parameters for single- and double-track sections of railways, including those with a predominance of passenger traffic, is carried out.

scholarly journals A Power Sharing Methodology Considering Wavelet Transform in a Residential Prosumer with a Hybrid Storage System

2020 ◽  
Vol 25 (1) ◽  
pp. 23-29
Author(s):  
Andrés Escobar Mejía ◽  
Valentina Triviño Castañeda ◽  
Mauricio Holguin Londoño
Keyword(s):  
Wavelet Transform ◽  
Energy Storage ◽  
Power Systems ◽  
Storage System ◽  
Low Frequency ◽  
Energy Storage System ◽  
Power Sharing ◽  
Low Frequencies ◽  
Hybrid Energy ◽  
Hybrid Energy Storage

Power systems have faced significant changes in recent years due to the integration of renewable energies in the power grid. Thanks to its multiple advantages, the so-called clean energies play an important role in the development of the electrical system, allowing the active participation of end users in energy markets. However, the intermittent nature of these sources has delayed their full integration into power systems; unless operated in conjunction with energy storage systems (e.g. batteries, ultracapacitors, etc.) to smooth out the generation and match the demand. This article presents a power sharing methodology for the exchange of energy between batteries and ultracapacitors in a photovoltaic installation. The case study comprises a hybrid energy storage system, on-site generation and a residential user, where both the load and generation profiles are analyzed using wavelet transform. The high- and low-frequency components of both profiles are used to calculate the energy that is injected into the energy storage system. Results show that by separating the components of the signal in high and low frequencies it is possible to take advantage of the characteristics of each storage technology, extending its life cycle.

Quantification of realistic performance expectations from trigeneration CAES-ORC energy storage system in real operating conditions

2021 ◽  
Vol 249 ◽  
pp. 114828
Author(s):  
Hamid Reza Rahbari ◽  
Ahmad Arabkoohsar ◽  
Mads Pagh Nielsen ◽  
Brian Vad Mathiesen ◽  
Henrik Lund
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Operating Conditions ◽  
Performance Expectations
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