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学者姓名:刘宝谨
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A grid-forming converter (GFM) controls power output by adjusting the phase angle and amplitude of its output voltage, providing voltage and frequency support to the power system and effectively enhancing system stability. However, it has limitations in current control, influencing the current only indirectly through voltage regulation, which results in weaker control over current waveform quality. In the context of a large number of renewable energy generation units being connected to the grid, harmonics in the grid voltage can lead to excessively high harmonic content in the grid current, exceeding standard limits and causing oscillations. To solve this problem, this paper proposes a control strategy of harmonic voltage feedforward compensation to suppress grid current distortion. The proposed control strategy extracts harmonic voltages from the output port of the GFM converter through a harmonic extraction module, processes them via a feedforward factor, and introduces the resulting signals into the converter's control loop as feedforward compensation terms. This allows the converter's output voltage to compensate for the harmonic components in the grid, achieving the improvement of grid current and reducing the total harmonic distortion (THD) value. The effectiveness of the proposed control strategy is verified by simulation results.
Keyword :
grid current quality grid current quality grid-forming converter grid-forming converter voltage feedforward voltage feedforward
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GB/T 7714 | Liu, Baojin , Yu, Bing , Zheng, Feng . Grid Current Distortion Suppression Based on Harmonic Voltage Feedforward for Grid-Forming Inverters [J]. | ELECTRONICS , 2025 , 14 (5) . |
MLA | Liu, Baojin 等. "Grid Current Distortion Suppression Based on Harmonic Voltage Feedforward for Grid-Forming Inverters" . | ELECTRONICS 14 . 5 (2025) . |
APA | Liu, Baojin , Yu, Bing , Zheng, Feng . Grid Current Distortion Suppression Based on Harmonic Voltage Feedforward for Grid-Forming Inverters . | ELECTRONICS , 2025 , 14 (5) . |
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The measurement data of power systems are often mixed with a lot of noise due to the interference of the external environment. In order to eliminate the effect of noise, it is significant to denoise the noisy data to obtain the real state measurements. In order to deal with the problem of insufficient interpretability in existing data-driven denoising methods, a hybrid physical-data driven denoising model (PDDM) based on the stacked denoising autoencoder (SDAE) is proposed. First, the previous knowledge is extracted from the physical model of the generator. Physical constraints are designed based on the inherent relationships between rotor angle, angular frequency, and power. Second, based on SDAE deep-learning (DL) model, physical constraints are embedded into the loss function to guide the training of a neural network. The derivatives of denoised data are leveraged in anticipation of satisfying the differential-algebraic equations. The physical process is directly approximated by the neural network in this method, making the outputs satisfy the physical laws. The reliability and interpretability of the denoising results are improved. Meanwhile, the dependence on datasets is reduced by virtue of the hybrid physical-data driven mode. The robustness is still maintained. Finally, it is verified in the 39-bus New England system and a realistic regional power system. The real noisy data are also taken into account in testing to verify its extensibility. The test results show that the method proposed can achieve a satisfactory effect in both denoising accuracy and generalization capability.
Keyword :
Accuracy Accuracy Data recovery Data recovery deep learning (DL) deep learning (DL) Generators Generators Noise Noise Noise measurement Noise measurement Noise reduction Noise reduction Phasor measurement units Phasor measurement units physics-informed neural networks (PINNs) physics-informed neural networks (PINNs) Pollution measurement Pollution measurement Power measurement Power measurement power system power system Power system stability Power system stability stacked denoising autoencoder (SDAE) stacked denoising autoencoder (SDAE) Training Training
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GB/T 7714 | Wang, Huaiyuan , Zhang, Shiping , Liu, Baojin . Hybrid Physical-Data Driven Model for Denoising of Generator State Measurements [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2025 , 74 . |
MLA | Wang, Huaiyuan 等. "Hybrid Physical-Data Driven Model for Denoising of Generator State Measurements" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 74 (2025) . |
APA | Wang, Huaiyuan , Zhang, Shiping , Liu, Baojin . Hybrid Physical-Data Driven Model for Denoising of Generator State Measurements . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2025 , 74 . |
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新能源高比例接入直流配电网,其低惯量、弱阻尼特性将导致故障电流峰值大、上升速率快,给现有直流断路器的开断容量、速度带来挑战.因此,提出一种计及超级电容快速钳位饱和铁芯电压的直流故障限流器.该限流器利用超级电容器对串联于主电路的饱和铁芯快速供能,在检测到故障后通过单移相控制使超级电容快速放电,在饱和铁芯上产生特定斜率电流以钳位饱和铁芯电压,进而有效抑制故障电流幅值.此外,根据电流微分判据识别瞬时性/永久性故障:瞬时性故障时,执行无断路器动作行为的系统自恢复;永久性故障时,进一步抬升饱和铁芯钳位电压使故障线路电流过零,直流断路器快速动作、隔离故障线路.最后,搭建多端直流配电网仿真系统验证所提限流器的有效性.结果表明所提限流器能够有效抑制故障电流,消除故障区域对非故障区域的负面影响.
Keyword :
故障限流和隔离 故障限流和隔离 直流配电网 直流配电网 超级电容 超级电容 钳位电压 钳位电压 饱和铁芯 饱和铁芯
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GB/T 7714 | 郑峰 , 黄雯锋 , 林燕贞 et al. 计及超级电容快速钳位饱和铁芯电压的直流故障限流器暂态特性研究 [J]. | 电力系统保护与控制 , 2025 , 53 (8) : 105-116 . |
MLA | 郑峰 et al. "计及超级电容快速钳位饱和铁芯电压的直流故障限流器暂态特性研究" . | 电力系统保护与控制 53 . 8 (2025) : 105-116 . |
APA | 郑峰 , 黄雯锋 , 林燕贞 , 梁宁 , 刘宝谨 . 计及超级电容快速钳位饱和铁芯电压的直流故障限流器暂态特性研究 . | 电力系统保护与控制 , 2025 , 53 (8) , 105-116 . |
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为进一步提高电力电子型限流器的经济性与限流效果,提出一种计及多元因素的故障电流受控型限流器(FCCL)的优化配置方法.对FCCL的故障过程展开分析,推导出计及FCCL的线路故障电流与换流站极间电压表达式.将老化因数纳入改进型限流器寿命预测模型,相较传统模型寿命预测值减少30%以上,更加精确合理.提出自变量简化策略,解决了求解过程中不同类型限流元件成本与冲击电流限制效果不平衡的问题,简化了求解过程.以成本、冲击电流限制效果、限流器预测寿命为目标函数,通过改进型多目标灰狼优化算法求得Pareto最优解集,求解效率提升26%以上.在9节点直流系统中进行优化配置算例分析,结果表明所提方法具备较高的求解效率与准确率.
Keyword :
优化配置 优化配置 改进型多目标灰狼优化算法 改进型多目标灰狼优化算法 故障冲击电流 故障冲击电流 电流受控型限流器 电流受控型限流器 直流配电网 直流配电网
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GB/T 7714 | 郑峰 , 黄云聪 , 梁宁 et al. 计及多元因素的故障电流受控型限流器优化配置方法 [J]. | 电力自动化设备 , 2025 , 45 (5) : 168-176 . |
MLA | 郑峰 et al. "计及多元因素的故障电流受控型限流器优化配置方法" . | 电力自动化设备 45 . 5 (2025) : 168-176 . |
APA | 郑峰 , 黄云聪 , 梁宁 , 林燕贞 , 杨帆 , 刘宝谨 . 计及多元因素的故障电流受控型限流器优化配置方法 . | 电力自动化设备 , 2025 , 45 (5) , 168-176 . |
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Fault isolation is an important technology to help guarantee that a DC system can be operated stably. A new fault isolation strategy is proposed to improve the traditional strategy which relies too much on a high-performance DC circuit breaker (DCCB). The new strategy makes use of the coordination between a flexible current limiting device (FCLD) and a DCCB. First, the cooperative mechanism between the FCLD and DCCB under permanent fault and transient fault is researched. Second, the arc transient characteristic of the interruption of the DCCB considering suppressed current from the FCLD is analyzed. Finally, a simulation is carried out on the Matlab/Simulink platform to verify the feasibility of the new cooperative strategy. The results show that FCLD can inhibit the breaking arc effectively; with this new fault isolation strategy, the DC system can finish ride through smoothly in the transient fault, while the DCCB can complete the no arc break in the permanent fault. The new strategy has reduced the breaking requirements for DCCB in terms of the DC system’s fault isolation, and improved the fault ride-through capability of the DC system. © 2024 Power System Protection and Control Press. All rights reserved.
Keyword :
Electric circuit breakers Electric circuit breakers Electric power system protection Electric power system protection Flexible electronics Flexible electronics MATLAB MATLAB Simulation platform Simulation platform Timing circuits Timing circuits
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GB/T 7714 | Zheng, Feng , Wang, Weidong , Liu, Baojin et al. Research on transient characteristic of arc suppression considering the joint operation of a flexible current limiting device and a DC circuit breaker [J]. | Power System Protection and Control , 2024 , 52 (2) : 60-69 . |
MLA | Zheng, Feng et al. "Research on transient characteristic of arc suppression considering the joint operation of a flexible current limiting device and a DC circuit breaker" . | Power System Protection and Control 52 . 2 (2024) : 60-69 . |
APA | Zheng, Feng , Wang, Weidong , Liu, Baojin , Liu, Wanling , Liang, Ning . Research on transient characteristic of arc suppression considering the joint operation of a flexible current limiting device and a DC circuit breaker . | Power System Protection and Control , 2024 , 52 (2) , 60-69 . |
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Aiming at the problem that the bus voltage in low-inertia DC microgrid is prone to be affected by internal power fluctuations, a virtual inertial control strategy of DC microgrid based on improved model prediction control is proposed. Firstly, analog virtual synchronous generator (AVSG) control is introduced into the voltage outer loop, and the inertia of DC microgrid is improved by introducing virtual capacitance and damping coefficient. Secondly, in order to avoid the lag phenomenon caused by control delay, an improved model predictive control is introduced into the current inner loop to achieve fast tracking of the current set value, while eliminating the traditional PI controller and PWM regulator, thus improving the dynamic performance of the control system. Finally, a system model is established based on Matlab/Simulink for simulation. The results show that compared with the traditional PI-based virtual inertia control strategy, the proposed control strategy in this paper has smaller bus voltage fluctuation amplitude and better dynamic performance, which can effectively improve the stability of DC bus voltage and the inertia of DC microgrid. © 2023 IEEE.
Keyword :
Capacitance Capacitance MATLAB MATLAB Microgrids Microgrids Model predictive control Model predictive control Power converters Power converters Power electronics Power electronics Virtual Power Plants Virtual Power Plants
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GB/T 7714 | Su, Minghong , Zheng, Feng , Liu, Baojin et al. Virtual Inertial Control Strategy of DC Microgrid Based on Improved Model Prediction Control [C] . 2023 : 390-395 . |
MLA | Su, Minghong et al. "Virtual Inertial Control Strategy of DC Microgrid Based on Improved Model Prediction Control" . (2023) : 390-395 . |
APA | Su, Minghong , Zheng, Feng , Liu, Baojin , Liu, Wanling . Virtual Inertial Control Strategy of DC Microgrid Based on Improved Model Prediction Control . (2023) : 390-395 . |
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In an autonomous ac microgrid system, a peer-to-peer decentralized solution would be a preferred choice for the coordinative control of distributed generation units. However, due to the dispersed sources and loads, and mismatched line impedances, it is hard to achieve satisfactory power sharing performance and power quality without communication links. Therefore, a comprehensive decentralized solution based on dual-frequency-droop is proposed in this article. With only local information, appropriate virtual impedances could be obtained to compensate the mismatched complex line impedances in the required frequency range, and hence active, reactive, unbalanced, and harmonic powers could be shared accurately among parallel inverters under various load conditions. Then, the frequency deviation caused by the droop control is effectively attenuated without affecting power sharing through a dynamic droop-slope regulator. Moreover, the causes of steady-state ripples on virtual impedance waveforms are carefully analyzed, and the design criterions to eliminate these ripples are provided. Finally, case studies are provided in simulations and experiments to validate the effectiveness of this method.
Keyword :
Decentralized Decentralized dual-frequency-droop dual-frequency-droop dynamic droop-slope regulator (DDR) dynamic droop-slope regulator (DDR) Frequency control Frequency control Harmonic analysis Harmonic analysis Impedance Impedance Microgrids Microgrids Power distribution Power distribution power sharing power sharing small-ac-signal injection small-ac-signal injection Voltage control Voltage control Voltage measurement Voltage measurement
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GB/T 7714 | An, Ronghui , Liu, Zeng , Liu, Jinjun et al. A Comprehensive Solution to Decentralized Coordinative Control of Distributed Generations in Islanded Microgrid Based on Dual-Frequency-Droop [J]. | IEEE TRANSACTIONS ON POWER ELECTRONICS , 2022 , 37 (3) : 3583-3598 . |
MLA | An, Ronghui et al. "A Comprehensive Solution to Decentralized Coordinative Control of Distributed Generations in Islanded Microgrid Based on Dual-Frequency-Droop" . | IEEE TRANSACTIONS ON POWER ELECTRONICS 37 . 3 (2022) : 3583-3598 . |
APA | An, Ronghui , Liu, Zeng , Liu, Jinjun , Liu, Baojin . A Comprehensive Solution to Decentralized Coordinative Control of Distributed Generations in Islanded Microgrid Based on Dual-Frequency-Droop . | IEEE TRANSACTIONS ON POWER ELECTRONICS , 2022 , 37 (3) , 3583-3598 . |
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The stator resistance, d-axis inductance, q-axis inductance and rotor permanent magnet flux linkage of inner permanent magnet synchronous motors (IPMSM) will be changed easily at the moment, which can deteriorate operation performance of the motor control system. To settle this issue, multi-parameter online identification method of the IPMSM based on trapezoidal-wave current injection was proposed. Forgetting factor recursive least square was adopted to identify the stator resistance, d-axis inductance, q-axis inductance and rotor permanent magnet flux linkage of the IPMSM and the problem of under-ranking in simultaneous online identification of four parameters was solved. Compared with the square-wave current injection method, the proposed method reduces the torque ripple of the motor. To achieve fast and accurate convergence of the identification parameters, the condition of persistence excitation was studied. To reduce influence of inverter nonlinearity on parameter identification accuracy, the inverter nonlinearity model in the two-phase synchronous rotation coordinate system was built and analyzed. Simulation and experiment results demonstrate effectiveness of the proposed method. © 2022, Harbin University of Science and Technology Publication. All right reserved.
Keyword :
Electric inverters Electric inverters Flux linkage Flux linkage Inductance Inductance Parameter estimation Parameter estimation Permanent magnets Permanent magnets Stators Stators Synchronous motors Synchronous motors
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GB/T 7714 | Yang, Gong-De , Wang, Peng , Liu, Bao-Jin . Multi-parameter online identification of IPMSM based on trapezoidal-wave current injection [J]. | Electric Machines and Control , 2022 , 26 (5) : 96-103 . |
MLA | Yang, Gong-De et al. "Multi-parameter online identification of IPMSM based on trapezoidal-wave current injection" . | Electric Machines and Control 26 . 5 (2022) : 96-103 . |
APA | Yang, Gong-De , Wang, Peng , Liu, Bao-Jin . Multi-parameter online identification of IPMSM based on trapezoidal-wave current injection . | Electric Machines and Control , 2022 , 26 (5) , 96-103 . |
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