Control Strategy of Flywheel Energy Storage System Based on Primary Frequency Modulation of Wind Power

Jia, Yu; Wu, Zhenkui; Zhang, Jihong; Yang, Pengfei; Zhang, Zilei

doi:10.3390/en15051850

Cited by 11 publications

(3 citation statements)

References 26 publications

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“…The finite control set MPC algorithm is based on a discrete-time model of the system, and therefore the continuous-time equation (12) of the system needs to be discretized when designing the controller. Specifically, to predict the future values of the system, we use the forward Eulerian approximation method to approximate the derivative of the load current at discrete time.…”

Section: Control Principle Of Model Predicted Currentmentioning

confidence: 99%

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Low‐voltage ride‐through control strategy for flywheel energy storage system

Zheng,

Wu,

Song

et al. 2024

Energy Science & Engineering

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Due to its high energy storage density, high instantaneous power, quick charging and discharging speeds, and high energy conversion efficiency, flywheel energy storage technology has emerged as a new player in the field of novel energy storage. With the wide application of flywheel energy storage system (FESS) in power systems, especially under changing grid conditions, the low‐voltage ride‐through (LVRT) problem has become an important challenge limiting their performance. In this paper, we propose a machine‐grid side coordinated control strategy based on model predictive current control (MPCC) for the insufficient LVRT capability of traditional FESS during grid faults. Excellent dynamic properties are demonstrated by the technique, which allows the grid‐side converter output current to swiftly follow the reference current instruction. The FESS's LVRT capability is increased when the grid‐side converter uses the MPCC current inner loop rather than the proportional–integral current inner loop during grid voltage dips. This greatly increases the reactive power response speed and efficiently supports the quick recovery of grid voltage. According to simulation verification carried out by Matlab/Simulink, the suggested control approach can assure the long‐term dependable operation of the FESS during voltage dips. This study can also be used as a reference for improving the FESS's LVRT capabilities in the future.

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Section: Control Principle Of Model Predicted Currentmentioning

confidence: 99%

“…It is important to remember that the FESS's control strategy is essential to resolving the LVRT issue. In Jia et al, 12 the researcher proposes a speed‐current double closed‐loop control system for the wind farm frequency regulation charging phase. Flywheel speed is regulated using a proportional–integral (PI) regulator.…”

Section: Introductionmentioning

confidence: 99%

Low‐voltage ride‐through control strategy for flywheel energy storage system

Zheng,

Wu,

Song

et al. 2024

Energy Science & Engineering

Self Cite

View full text Add to dashboard Cite

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“…Real power systems face a variety of uncertainties, which are caused by changes in load [18], system modeling errors, and structural changes [19]. Therefore, classical controllers with constant interest are not suitable for solving the Load Frequency Control (LFC) problem [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Efficient PID Control Design for Frequency Regulation in an Independent Microgrid Based on the Hybrid PSO-GSA Algorithm

et al. 2022

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Microgrids are a part of the power system that consists of one or more units of distributed generation and are expected to remain in operation after being disconnected from the system. Since they rely on overlying networks, frequency control is very important for network-independent operation. Some of the most common problems in independently operating microgrids are frequency sustainability and its fluctuations. The main purpose of this study is to control the frequency of a microgrid in island mode in different scenarios. The objective function is defined based on time and changes in the system frequency. Thus, the variable parameters of the PID controller are transformed into an optimization problem and are solved through the hybrid PSO-GSA algorithm. The study considers four scenarios: (a) a microgrid dynamic model and optimal PID controller coefficients; (b) variable velocity disturbance applied to the studied system in order to observe power changes and the microgrid frequency; (c) stepped load changes applied to the studied system; and (d) the proposed methods on the standard test function. Simulations under different operating conditions are performed, indicating improvements in the stability of microgrid frequency fluctuations by means of the proposed control method.

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Control Strategy of Flywheel Energy Storage System Based on Primary Frequency Modulation of Wind Power

Cited by 11 publications

References 26 publications

Low‐voltage ride‐through control strategy for flywheel energy storage system

Low‐voltage ride‐through control strategy for flywheel energy storage system

Efficient PID Control Design for Frequency Regulation in an Independent Microgrid Based on the Hybrid PSO-GSA Algorithm

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

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