Linear Robust Discharge Control for Flywheel Energy Storage System With RLC Filter

Liang, Yang; Liang, Deliang; Kou, Peng; Jia, Shaofeng; Chu, Shuaijun; Wang, Hao; Liang, Yongtao

doi:10.1109/tia.2022.3189967

Cited by 8 publications

(2 citation statements)

References 30 publications

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“…For feedback linearization and MPC, the complex algorithms employed require sufficient computational power of the real‐time system. Therefore, 16 proposed a scheme combining two‐degree‐of‐freedom internal model control (TDOF‐IMC) with a linear extend state observer to ensure industrial practicability with few parameters and easy adjustment. However, the proposed method is complex and faces the problem of model mismatch due to the introduction of internal models.…”

Section: Introductionmentioning

confidence: 99%

ADRC‐based control strategy for DC‐link voltage of flywheel energy storage system

Wei,

Zhou,

Wang

et al. 2023

Energy Science & Engineering

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The direct current (DC)‐link voltage control of the flywheel energy storage system plays an important role in realizing high‐quality grid connection. With the traditional proportional‐integral control, the DC‐link voltage cannot track its reference value quickly and smoothly when the flywheel energy storage system switches from the charging stage to other working stages. Therefore, a DC‐link voltage control strategy for the flywheel energy storage system based on active disturbance rejection control is proposed in this paper to deal with this issue. The DC‐link voltage and its differential value are considered as the state variables in this strategy. The internal and external disturbances, such as load power, switching loss, and parameter uncertainty, are regarded as an expanded state. By inputting the voltage error and the observed disturbance into the nonlinear state feedback control law, the rapidity and anti‐interference of the DC‐link voltage control are ensured under different States of Charge of the flywheel energy storage system. Then, the coefficient freezing method is used to analyze the effects of the disturbance observation bandwidth by nonlinear gain and pole position changes. The DC‐link voltage can track the reference value over a wider frequency range of disturbances. By configuring the appropriate observer structure parameters, the disturbance observation bandwidth under the nonlinear function gain variation is always higher than the expected bandwidth. The effectiveness of the proposed control strategy is verified by simulation results at last.

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Section: Introductionmentioning

confidence: 99%

ADRC‐based control strategy for DC‐link voltage of flywheel energy storage system

Wei,

Zhou,

Wang

et al. 2023

Energy Science & Engineering

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show abstract

“…flywheel energy storage systems can be implemented in many practical situations Amiryar and Pullen (2017); Arani et al (2017); Mousavi et al (2017); Faisal et al (2018); Olabi et al (2021); Choudhury (2021); Li and Palazzolo (2022). There have been thus far various design and control methods developed for flywheel energy storage systems, such as the neutral-point potential control Li Z. et al (2022), active disturbance rejection Chang et al (2015); Ghanaatian and Lotfifard (2019), wide speed range operation Zhang and Yang (2017), DC-link voltage control Zhang and Yang (2018); Gong et al (2020), robust control Zhang et al (2021); Liang et al (2022), and learning based intelligent control He et al (2022); Yin and Li (2022), just to name a few. On the other hand, flywheels have recently found applications in many new areas, such as energy management for railways Canova et al (2022); Li J. et al (2022), offshore wind farm power transmission Daoud et al (2016); Tomczewski et al (2019), vehicle energy harvesting Ahamad et al (2019); Thormann et al (2021), and so on.…”

mentioning

confidence: 99%

Asymptotic internal model based coordination of a flywheel energy storage matrix system

Cai

2022

Front. Energy Res.

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This paper considers a dual objective distributed coordination problem for a flywheel energy storage matrix system. On one hand, the power output of the entire flywheel energy storage matrix system should track its reference command, which is generated by a linear command generator. On the other hand, the state-of-energy of all the flywheels should be balanced. In contrast to the existing result which employed a common state-of-energy generator as the external model by making use of global system information. By taking advantage of average consensus algorithms, a novel asymptotic internal model based control method is proposed in this paper which eliminates the need of the external model. It is proven that the steady-state of the asymptotic internal model turns out to be a common state-of-energy generator for all the flywheels under the composite average consensus algorithms, which lends itself to the solution to the dual objective distributed coordination problem. Comprehensive case studies in different scenarios are conducted to examine the performance of the proposed control method.

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Linear Robust Discharge Control for Flywheel Energy Storage System With RLC Filter

Cited by 8 publications

References 30 publications

ADRC‐based control strategy for DC‐link voltage of flywheel energy storage system

ADRC‐based control strategy for DC‐link voltage of flywheel energy storage system

Asymptotic internal model based coordination of a flywheel energy storage matrix system

Control strategy of MW flywheel energy storage system based on a six-phase permanent magnet synchronous motor

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