Linear Active Disturbance Rejection Control for DC Bus Voltage Under Low-Voltage Ride-Through at the Grid-Side of Energy Storage System

Ma, Youjie; Yang, Luyong; Zhou, Xuesong; Xia, Yang; Zhou, Yongliang; Zhang, Bo

doi:10.3390/en13051207

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…It not only undertakes the task of estimating the state variables of the system and their deferential signals of various orders, but also accurately comprehends the overall disturbances and cancels in the control law, even with the absence of an accurate mathematical model of the system. The ESO can be classified into two types, i.e., linear and nonlinear according to the error correcting terms including the function of the error [27].…”

Section: Extended State Observer Esomentioning

confidence: 99%

Coordinated control by ADRC strategy for a wind farm based on SCIG considering low voltage ride-through capability

Laghridat

Essadki

Nasser

2022

Prot Control Mod Power Syst

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Wind farms are integrated with the power grid system to provide active and reactive power. Because in a wind farm, wind turbines (WTs) are highly coupled to their operating conditions, a central wind farm supervisory unit must take into account these conditions when producing power control references for each WT. The aim of this paper is to manage and control the active and reactive power of wind farms based on squirrel cage induction generators and back-to-back converters. The proportional distribution algorithm is used for distributing wind farm power to individual WTs. In addition, we consider the development of a local power management and control units for WTs. This is in order to extract the maximum available power from the wind, and to provide the active and reactive power predetermined by the transmission system operator, or to satisfy the grid code requirements considering Low Voltage Ride-through capability. The power dispatch strategy is to be used on all WTs using the distribution algorithm while ensuring the control loops using the proposed Active Disturbance Rejection Control strategy. The results demonstrate that the proposed strategies are efficient and can guarantee the safe integration of wind farms into the grid while respecting grid code requirements and power system stability.

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Section: Extended State Observer Esomentioning

confidence: 99%

Coordinated control by ADRC strategy for a wind farm based on SCIG considering low voltage ride-through capability

Laghridat

Essadki

Nasser

2022

Prot Control Mod Power Syst

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“…Under usual working conditions, the GSC maintains a constant voltage at the dc-link and also maintains the needed power factor at the grid, by suitably controlling the active and reactive power. A widely used control structure for GSC control is derived from [27][28][29][30][31] and the control configuration is as depicted in Figure 3. In Figure 3, V bus and V bus * represent the dc-link voltage and its reference value, respectively, whereas θ grid represents the phase angle extracted from the grid voltages using a phase-locked loop.…”

Section: Grid Side Converter Controlmentioning

confidence: 99%

Coordinated Control of Wind Energy Conversion System during Unsymmetrical Fault at Grid

Ahuja

Singh²,

Sharma

et al. 2022

Energies

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High penetration of wind power into the grid necessitates the coordinated action of wind energy conversion systems and the grid. A suitable generation control is required to fulfill the grid integration requirements, especially during faults. A system using a pair of voltage source converters with a squirrel cage induction generator coupled to a wind turbine is proposed to provide fault ride-through during grid faults. A threefold action is used for providing the effective fault ride-through via coordinated action of the machine side and the grid side converter. The entire wind energy conversion system is controlled such that the wind turbine remains connected even during the faults. To implement the threefold action: (i) A decoupled current controller is placed in the grid side converter, which separately controls the positive and negative sequence currents arising during faults. The grid side converter controller is capable of eliminating the double frequency oscillations at the dc-link voltage and, hence, real power, which arises during the unsymmetrical faults; (ii) Reactive power injection is additionally provided by the grid side converter for better grid support; and (iii) The vector control technique is used in machine side converter along with the droop control to adjust the generator speed and the torque resulting in actuation of the pitch control mechanism to limit power generation without shutdown of the turbine.

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“…The objective of [21] was to design a vibration isolation platform for payloads on spacecraft with a robust, wide bandwidth and multi-degree-of-freedom (MDOF), where the LADRC algorithm was utilized for the active control. An improved LADRC based on proportional differentiation was proposed in [22] in order to improve the control performance of the grid-side inverter of the energy storage system, where LESO was improved to a proportional differentiation link. In [23], a novel compound control scheme that combined the advantages of partial feedback linearization (PFL) and LADRC was presented for a pressurized water reactor (PWR), where the controller parameters were optimized by tuning bandwidth.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…c. The LADRC containing the proposed ATD consumes less energy than the LADRC [22,31]; the peak value of the control signal is removed, thus effectively suppressing the influence on the final control element, and it is of great significance in practical application.…”

Section: B Contributions Statementmentioning

confidence: 99%

See 1 more Smart Citation

Linear Active Disturbance Rejection Control-Based Diagonal Recurrent Neural Network for Radar Position Servo Systems with Dead Zone and Friction

2022

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This paper proposes a control scheme for the radar position servo system facing dead zone and friction nonlinearities. The controller consists of the linear active disturbance rejection controller (LADRC) and diagonal recurrent neural network (DRNN). The LADRC is designed to estimate in real time and compensate for the disturbance with vast matched and mismatched uncertainties, including the internal dead zone and friction nonlinearities and external noise disturbance. The DRNN is introduced to optimize the parameters in the linear state error feedback (LSEF) of the LADRC in real time and estimate the model information, namely Jacobian information, of the plant on-line. In addition, considering the Cauchy distribution, an adaptive tracking differentiator (ATD) is designed in order to manage the contradiction between filtering performance and tracking speed, which is introduced to the LADRC. Another novel idea is that the back propagation neuron network (BPNN) is also introduced to tune the parameters of the LADRC, just as in the DRNN, and the comparison results show that the DRNN is more suitable for high precision control due to its feedback structure compared with the static BPNN. Moreover, the regular controller performances and robust performance of the proposed control approach are verified based on the radar position servo system by MATLAB simulations.

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Linear Active Disturbance Rejection Control for DC Bus Voltage Under Low-Voltage Ride-Through at the Grid-Side of Energy Storage System

Cited by 5 publications

References 17 publications

Coordinated control by ADRC strategy for a wind farm based on SCIG considering low voltage ride-through capability

Coordinated control by ADRC strategy for a wind farm based on SCIG considering low voltage ride-through capability

Coordinated Control of Wind Energy Conversion System during Unsymmetrical Fault at Grid

Linear Active Disturbance Rejection Control-Based Diagonal Recurrent Neural Network for Radar Position Servo Systems with Dead Zone and Friction

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