bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Doubly-fed Wind Power Generator Virtual Synchronous Control
Authors: Yin Meiling 
Published: September 2023

Abstract
Given the high proportion of wind power frequency/voltage stability problems, the power system based on synchronized coordinates (DFIG) mathematical model of doubly-fed motor, studies a current source containing inertial link type wind turbine virtual synchronous control strategy, and the virtual synchronous control loop and the current control design of the inner ring. Established in the Matlab/Simulink simulation model of doubly-fed wind power generator, the virtual synchronous generator realized virtual synchronous generator inertia. Simulation results confirm the validity of the theoretical analysis and the effectiveness of the proposed control strategy.
Design of a Q-band waveguide to CPW transition
Authors: Zou Huiyao , Sun Shufeng , Zhang Xiaoyang 
Published: September 2023

Abstract
A design scheme of waveguide to co-planar waveguide probe transition structure is proposed in this paper, and the structure is modeled and optimized by Ansoft’s electromagnetic simulation software HFSS. The simulation results indicate that the structure’s reflection coefficient is below -20dB and its insertion loss is below -0.3dB at 38∼47GHz. The structure is applicable to tile-type T/R modules.
Sliding mode control strategy for grid-connected inverters based on boundary layer
Authors: Liu Chuang , Wang Yanping 
Published: September 2023

Abstract
A sliding mode controller is designed to effectively track the reference current for the characteristics of conventional grid-connected controllers that cannot perform static-free tracking. and aiming at the jitter phenomenon of sliding mode controller, a boundary layer-based sliding mode controller is designed, which adopts traditional linear control inside the boundary layer and sliding mode control outside the boundary layer. the error is limited to a certain range and a compensation term is used to improve the problem of slow control speed. The proposed strategy is validated by simulation using matlab simulation software, and the simulation results prove that the proposed strategy can achieve grid current and grid voltage in the same frequency and phase, which proves the effectiveness of the proposed strategy.
Simulation Research of the Energy Storage System based on Unitized Regenerative Fuel Cell
Authors: Jia Xiaoqiang , He Guixiong , Liu Kaicheng 
Published: September 2023

Abstract
The Unitized Regenerative Fuel Cell (URFC) is an advanced energy storage system that integrates a fuel cell and an electrolysis cell. In this paper, MATLAB/Simulink is used to construct mathematical models of URFC. Through the steady-state simulation, it is found that with the increase in temperature, the output voltage of fuel cell mode increases, and the electrolysis mode voltage decreases. The highest efficiency reaches 41.8% at 80°C. As the pressure increases, the performance of URFC improves but requires good packaging and gas sealing. 1 MPa is the optimal pressure value considering URFC operating efficiency.
Research on the control strategy of interlinking converters for photovoltaic storage hybrid microgrid
Authors: Guo Xu , Chen Qigong , Li Ao , Wei Junqiu 
Published: September 2023

Abstract
This article mainly solves the problem of accurate power distribution and stable running in the photovoltaic storage hybrid microgrid and studies different control strategies of the interlinking converter connected to the AC-DC subnet under on-grid and off-grid conditions. The relationship between DC-side voltage, active power and active current is analyzed in the on-grid, and the DC voltage stability is supported by using a closed-loop voltage and current; in the off-grid mode, an improved bidirectional sag control method based on unitization processing is adopted, in which the power to be transmitted by the converter is differed from the actual value as the reference input of the current loop on the traditional double sag control, which can coordinate the power transmission between subgrids more precisely; And the action threshold is designed for the problem of repeated switching of converter operating modes. The results of simulation show that the converter able effectively to judge the magnitude and power direction in both parallel and off-grid operation modes, which ensures the normal operation of the important loads inside the subnets on both sides, thus verifying the feasibility of the control method.
Discharge Characteristics of Needle Plate Electrode in Transformer Oil Under Low-frequency AC Voltage
Authors: Liang Jiabi , Wu Peng , Li Jiansheng , Lu Yuncai 
Published: September 2023

Abstract
Low-frequency transformer is the key equipment of flexible low-frequency AC transmission systems for offshore wind power. As the low-frequency voltage is applied, the transformer has significantly different insulation characteristics from those of the conventional transformer, it is necessary to study the typical characteristics of partial discharge of oil-paper insulation under such voltage. In this dissertation, the characteristics of discharge of needle plate electrodes in transformer oil under power frequency to low-frequency voltage are experimentally researched by adopting the pulse current method, and the discharge statistics, discharge atlas as well as feature parameters are analysed. With the decreasing of voltage frequency, the inception voltage (IV) value of partial discharge slightly increases, the extinction voltage (EV) phases of positive half-cycle (PHC) voltage waveform, as well as negative half-cycle (NHC) voltage waveform appear earlier, and the maximum discharge (MD), average discharge (AD), and pulse repetition rate (PRR) all show a downward trend.
Research on Accurate Fault Location of Small Current Grounding System
Authors: Liu Denghui , Hao Cheng 
Published: September 2023

Abstract
Based on the principles of single-end fault ranging and signal injection method, a method of identifying fault distance parameters based on disturbance signal injection is proposed. The simulation calculation results verify that the method can effectively exclude the influence of line distribution capacitance on fault location accuracy while bearing a large range of transition resistance, and the impact of the arc extinguishing coil can be avoided by adjusting the signal injection module opening and closing time, which has high practical value in engineering.
Multi-objective optimization study of CCHP-GSHP-PV-ST system under different climatic zone conditions
Authors: Zeng Rong , Long Xiang 
Published: September 2023

Abstract
In this research, a system with multiple energy sources of combined cooling, heating, and power (CCHP)/ground source heat pump (GSHP)/photovoltaic (PV)/solar thermal collector (ST) (CCHP-GSHP-PV-ST system) is constructed. And this system is combined with the operation strategy of following total electric demand, that is, giving priority to meeting the electrical load of the building, the additional power of the coupling system, and the power of driving the GSHP. Therefore, a model for multi-objective optimization of the CCHP-GSHP-PV-ST system based on energy, environment, and economic indicators is established, and the optimization model is resolved using the genetic algorithm. The load simulation of office buildings in representative cities of five climate zones in China (Harbin (severe cold climate), Beijing (cold climate), Kunming (mild climate), Guangzhou (hot summer and warm winter climate), Changsha (hot summer and cold winter climate)) was selected as the basis for coupling system optimization, and the multi-objective optimization study of CCHP-GSHP-PV-ST system under different climate zone conditions was carried out. The findings indicate: (1) Under various climatic zone conditions, the coupling system’s optimized composition varies a little; (2) The multi-energy coupled system of office buildings in Beijing (cold climate) has primary energy saving rates, carbon dioxide emission reduction rates, annual total cost saving rates, and comprehensive performance that are respectively 46.06%, 60.43%, 44.05%, and 50.18% better than the split-production system when compared to other climate zones.
A Parameter Tuning Method of Adaptive Dynamic PID Controller for Time Delay Integral System
Authors: Wang Ruihao , Chen Yan , Shao Mingzhi , Zhao Zhenyu , Sun Haitao 
Published: September 2023

Abstract
PID controllers are widely used in the control of integral systems. In the practical application of integral systems, the control effect is usually affected by the delay time, and at the same time, the large variation of the controlled integral parameters will also affect the control effect of the controller. This paper proposes an adaptive dynamic PID controller parameter tuning method suitable for time delay integral systems, considering the influence of parameters such as the voltage of the integral system, the variation range of the controlled object, and delay time, making the relationship between the parameters of the PID controller and the control object of the integral system more explicit. At the same time, this paper considers the tuning of the differential filter parameters in practical applications. A non-linear system with a 10-fold variation of the controlled integral parameters is simulated in Simulink, and the dynamic control of the non-linear system is realized using the method proposed in this paper, achieving a better control effect compared to the traditional control with constant PID parameters.
Research on Non-destructive Testing Method for Aging of Sheds of Composite Insulators
Authors: Wu Zhensheng , Cheng Yibin , Zhang Gang 
Published: September 2023

Abstract
As an important part of external insulation of transmission and distribution lines and substation equipment, silicone rubber insulators are generally used because of their strong anti-pollution flashover ability, excellent hydrophobicity, and lightweight. It is one of the effective means to obtain the aging degree of sheds quickly and accurately to prevent operation accidents. From the micro and macro perspectives, firstly, this paper uses the traditional scanning electron microscopy and dielectric loss factor test to classify the aging degree of 11 high-voltage side sheds samples of silicone rubber insulators running on-site for 0~11 years. According to the different experimental principles, the aging degree of each experimental method is divided into four grades. Then, the detection method based on terahertz time-domain spectroscopy is proposed to realize a nondestructive evaluation of the aging grades of sheds of silicone rubber insulators. Finally, through comparison, it can be found that the THz absorption coefficient spectra can find the characteristic quantity of classification of aging levels of silicone rubber materials: The aging levels of the silicone rubber samples increase, and the absorption peak at 1.32 THz in the absorption spectra show a downward trend. According to the characteristic quantity, 11 samples can also be divided into four aging grades, and the results are consistent with the previous experiments.
Noise Reduction Method for Fiber Optical Current Transformer Based on Mode Decomposition-Sample Entropy
Authors: Wang Shu Gang , Xie Tian Xi , He Mao Hui , Feng Xuan , Zhu Chao 
Published: September 2023

Abstract
When a fiber optic current transformer (FOCT) malfunctions, its output signal is usually accompanied by a large noise, which affects the subsequent fault diagnosis results of the transformer. In response to the above noise issues, this paper constructs a new noise reduction algorithm by combining Complete Ensemble Empirical Mode Decomposition Adaptive Noise (CEEMDAN) and Sample Entropy (SE). Above all, the output signal of FOCT is decomposed into multiple fault components using the CEEMDAN algorithm. Then, by comprehensively considering the frequency domain characteristics and sample entropy calculation value of each component, the characteristics of each component are determined, so the power frequency and low-frequency components are selected as the feature vectors representing the fault mode. Finally, the noise components with high sample entropy are eliminated, and the power frequency current components with medium sample entropy and the low-frequency fault feature components with low sample entropy are recombined and superposed to build a fault signal dataset after noise reduction.
Research on Bidirectional DC-DC Converters in Distributed Electric Propulsion Systems
Authors: Liu Pengcheng , Yang Minsheng 
Published: September 2023

Abstract
This paper investigates bidirectional DC-DC converters in distributed electric propulsion systems, focusing on the dual active bridge (DAB) converter. To minimize voltage fluctuations in aircraft operating under complex conditions, a virtual voltage compensation control strategy based on active disturbance rejection (ADR-VVCC) is presented. The presented control strategy is grounded on the working characteristics under single-phase-shift (SPS) and introduces a virtual voltage to compensate for voltage fluctuations and degraded dynamic performance caused by the inherent uncertainty of converter parameters and power losses during the energy transfer process. The active disturbance rejection control is incorporated to replace traditional PI control, thereby enhancing the converter’s dynamic performance. Simulation outcomes demonstrate that the presented control strategy effectively improves the converter’s dynamic performance and maintains output voltage stability.
Wind-storage-turbine Bundled Technology for the Power Supply of Offshore Oil and Gas Platforms
Authors: Li Zhichuan , Yang Jiping , Sun Zhaoheng , Xiao Shi , Liu Longfei , Liu Jing , Xu Xiandong 
Published: September 2023

Abstract
The offshore oil and gas industry is embracing renewable energy such as wind power to reduce carbon emissions. However, the intermittent characteristics of renewable power generation bring new challenges to the operation of existing offshore oil and gas platforms featured in minor load variation. To address the concern, this paper proposes a coordinative control strategy for offshore oil and gas platforms with floating wind power integrated. A saturated filter controller is applied to decompose the wind power fluctuation and smooth it with energy storage and a gas/oil turbine generator. A feedforward control unit is embedded into the controller to compensate for the wind power variation caused by the floating foundation. The proposed strategy is validated using a model extracted from a real offshore oil and gas platform. The result shows that the proposed strategy can validly eliminate the impact of wind power volatility.
Research on improved Harmonic current detection method based on SOGI-PLL instantaneous reactive Power
Authors: Wu Donglai , Zhao wenlei 
Published: September 2023

Abstract
In view of the traditional instantaneous reactive power detection has low anti-harmonic interference ability, poor real-time performance, and insufficient accuracy when the power grid frequency fluctuates, this paper improved the detection link. The working principle of single-phase harmonic detection is analyzed, and the improved second-order generalized integrator is added to make the phase-locked loop detect the voltage phase accurately and efficiently. Based on the comparison and compensation simulation results of the active compensation device, the quality of grid-connected current of the inverter is improved effectively, and the precision of phase locking is increased.
State Inference and Evaluation Technology of Relay Protection Based on Digital Twinning
Authors: Liu Qingquan , Li Tiecheng , Fan Hui , Zeng Siming , Ren Jiangbo , Wang Xianzhi 
Published: September 2023

Abstract
The problems of relay protection equipment in such aspects as the insufficient depth of data mining, not timely grasp of equipment status, and poor timeliness of fault warning restrict the development of the operation and maintenance mode of relay protection, which aims at “autonomous and controllable, safe and reliable, advanced and applicable, intensive and efficient”. This article studies the comprehensive state evaluation and action simulation deduction technology of intelligent substation relay protection equipment based on digital twins. It uses multi-source state monitoring data of relay protection equipment for state quantity correlation analysis. It constructs a key state feature index library and uses digital twin technology to model the relay protection function and software and hardware states. Through the collaborative linkage between physical devices and digital twin models, the twin can dynamically track the operational status of devices and automatically update the twin status. Finally, based on the established high-precision digital twin model, relay protection action deduction and status evaluation are carried out. Then the effectiveness of the scheme is demonstrated through example testing of the relay protection twin system.
A Low Voltage Prediction Based on LSTM-BP Combined Model for Distribution Station Areas
Authors: Yi Chenying , Zhou Yangjun , Huang Weixiang 
Published: September 2023

Abstract
The timely management of low voltage issues in the distribution network relies heavily on accurate predictions of voltage in the station areas. Many current methods for voltage prediction require complex data collection involving power grid topology parameters and electricity information. However, these methods suffer from drawbacks such as the need for extensive data, limited real-time performance, and significant prediction errors. Hence, this study proposes an approach to voltage prediction utilizing a combined LSTM-BP model. Initially, an analysis of the mechanism of low voltage formation in the station areas reveals that the primary factor influencing node points voltage is the power consumption of users. Subsequently, the LSTM neural network is employed to forecast short-term load curves in the distribution station areas, while the self-learning capability of the BP neural network is utilized to establish the correlation between users’ power and their corresponding voltage levels. By effectively combining the above two neural network models, the historical load’s data can be used to accurately and quickly predict the future low voltage situation in the station areas. Finally, taking station areas as the research object and comparing the actual voltage data with the voltage data predicted in this paper, the results show that within the 1V error range, the prediction accuracy is 99.8%. In contrast to the conventional voltage prediction approach, the method put forward in this research paper enables instantaneous and precise anticipation of low voltage levels without relying on details such as station configuration, line characteristics, or user voltage information.
Elman short-term wind power prediction based on the optimized seagull algorithm
Authors: Sui Tao , Liu Guodong , Liu Xiuzhi , Huang Yanzhao , Yan Xiangyu 
Published: September 2023

Abstract
Accurate prediction of wind farm power output can relieve the pressure of grid frequency regulation and peak regulation and improve grid stability. With the goal of improving power prediction accuracy and reducing overall prediction error, this paper proposes an Elman short-term wind power prediction model on the basis of an optimized seagull algorithm. Firstly, the Elman network is used as the base prediction model, and the seagull algorithm is applied to seek the best values for its weights. Secondly, the chaotic circle mapping with better initial characteristics is improved to equalize its sequence distribution for optimizing the population initialization. Then, to address the lack of local search capability, an optimized iterative approach using the sine cosine operator is used to achieve a balance between local exploitation ability and global search capability. Finally, after simulation and analysis of the actual data set, it is verified that the model has a better prediction effect.
Modeling and Simulation of Marine PV Inverter System Based on MPPT Algorithm
Authors: Li Haitao , Zhang Cunxi , Wang Rui 
Published: September 2023

Abstract
Under the influence of the policy of low carbon development, the development of new energy ships is receiving wide attention. Aiming at the fluctuation of the ship power grid caused by the intermittent and random nature of the PV power generation system, this paper builds a set of ship PV power generation microgrid system models based on the Matlab/Simulink simulation platform. Under the conditions of ambient temperature, light intensity, and other factors, the front-stage Boost circuit uses the MPPT conductance increment method to obtain the maximum power point of the PV module. The rear-stage inverter uses SPWM (sinusoidal pulse width modulation) inverter control in the rear stage to observe the output effect under different solar radiance, and the system is also designed to automatically switch the DC load when the light intensity is too low, which reduces the system energy loss and improves the operation efficiency of the marine PV system.
Frequency diversity of the power line time service system
Authors: Zou Yun , Ma Xin-ze , Hua Yu , Liu Shi-yao 
Published: September 2023

Abstract
A frequency diversity technique is proposed for OFDM-modulated power line time service systems, and a variety of frequency diversity reception processing schemes are investigated to address the problem of interference caused by power line channel noise. Simulation results show that selecting the appropriate frequency diversity order can effectively reduce the system received signal bit error rate, while using the maximum ratio combining diversity reception scheme has the best effect on improving the system bit error rate performance.
Coil Position Control Technology in Magnetic Coupled Wireless Power Transmission
Authors: Yang Wei , Chen Xiyou 
Published: September 2023

Abstract
This article mainly studies the issue of power and efficiency fluctuations at the receiving end caused by changes in the relative positions of the transmitting coil and the receiving coil in a magnetic coupled radio energy transmission system. A circuit model was built to analyze the logical relationship of energy transmission in a wireless energy transmission system, and the optimal transmission position of the two-coil system was calculated. Simulation analysis and experimental measurements were conducted to obtain the transmission power of the coil at different distances. Based on the microcontroller, a closed-loop automatic control algorithm is designed for the laser rangefinder and the stepping motor. When the position of the receiving coil changes, the transmitting coil can move with the position of the receiving coil so that the system can quickly stabilize at the optimal power transmission point. The method used in this article can achieve stable transmission power of over 7 W when the receiving coil moves 0-100 cm along the axis.