bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electric vehicle charging station siting planning model considering distribution grids
Authors: Yan Chunwang , Liu Na 
Published: October 2024

Abstract
The widespread adoption of electric vehicles will present a novel challenge to distribution network planning, necessitating the establishment of new standards. Improving the electric vehicle charging infrastructure is pivotal for the advancement of electric vehicles. In this paper, the construction principles of charging station siting are first proposed to consider the influence of the distribution network. When building a multi-faceted planning model for electric vehicle charging networks, we holistically consider various costs including the construction and operational expenses incurred by charging station operators, as well as the yearly cost to EV users related to their charging journey times, queuing for charging, and the combined annual expense of both charging duration and electricity prices. Moreover, we integrate critical constraints like service demand and travel distances into the model’s design parameters. Ultimately, the paper considers the construction of a mathematical model for distribution network planning, incorporating charging stations. The objective of this model is to minimize the overall investment and operational costs associated with new lines and electric vehicle charging stations within the distribution network.
An 8~18 GHz 6-bit phase shifter with balance-compensated balun
Authors: Shangguan Yiping , Quan Haiyang , Wen Wu , Liang Yishu 
Published: October 2024

Abstract
This paper presents a 6-bit wideband, low error, digitally controlled active phase shifter operating from 8 to 18 GHz. The phase shifter consists of three modules, namely input transformer balun, quadrature signal generator, and vector modulator, using 0.18μm SiGe BiCMOS process. The transformer balun is designed with a center tap with a capacitive compensation circuit, the quadrature signal generator circuit features a two-stage resistive-capacitive (R-C) based polyphase filter (PPF) structure, and the vector modulator module utilizes an adjustable current array structure to enable quadrant selection and gain adjustability. The post-simulation results of the phase shifter indicate that the RMS phase error is below 2°, the RMS amplitude error is under 0.5 dB, the gain ranges from -0.5 to 1.8 dB, and the input return loss is less than -10 dB across the 8 to 18 GHz operating range.
Filtering coupler with tight coupling based on trans-directional coupler
Authors: Cao Yuan , Gu Xinyue , Yin Songfeng , Hu Xiao 
Published: October 2024

Abstract
In the text, a filtering trans-directional coupler is designed. This structure consists of three coupled lines, resonant circuits, and a trans-directional coupler. The filtering function is achieved through three coupling lines, and resonant circuits play a role in eliminating resonance points. A 3-dB filtering coupler with tight coupling characteristics is designed. When S11<-10 dB, the relative bandwidth in simulation can reach 48.59% (2.15 GHz ∼ 3.53 GHz). Moreover, the filtering trans-directional coupler has the characteristic of a wide stopband. Under the standards of |S11| and |S21| less than -10 dB, the cutoff frequency of the upper stopband is 7.23 GHz.
Improve PMSM parameter identification of model reference adaptive system
Authors: Lei Ke , Tan Bo , Luo Shichao , Qiao Hao 
Published: October 2024

Abstract
To overcome the issue of under-rank in the mathematical PMSM in parameter identification, the reference model and adjustable model of PMSM are established, according to Popov’s stability theorem (Popov), the adaptive law is established to assure the system stability during online recognition, and the stator inductance is first identified by using the recursive least squares method, and then the identified inductance value is substituted into the stator resistor and flux fluxe are distinguishd in the established adaptive laws. It overcomes the issue of underranking the mathematical equation of the motor and realizes step-by-step identification. This study is a PMSM identification method depending on improved model reference adaptive (MRAS). The simulation consequence indicate that the methods of research has fast recognition rpm, high recognition degree and fast motor speed response, and has certain practicality.
SOC estimation of adaptive untraceable Kalman filtered lithium batteries based on fractional order modeling
Authors: Miao Henggang , Zhou Guangxu , Lao Kaiyue , Zhu Yunhai 
Published: October 2024

Abstract
Since the description of the chemical reactions inside the battery of the traditional integer-order circuit model is not comprehensive, in order to estimate the battery state of charge (SOC) more accurately, this paper first establishes a fractional-order model and selects an adaptive genetic algorithm (AGA) when identifying the parameters of the circuit model. Then, for the problem that the estimation of battery state of charge by the Traceless Kalman Filter (UKF) algorithm will be inaccurate under complex working conditions and noise uncertainty, a fractional-order adaptive untraceable Kalman filtering (AUKF) algorithm with adaptive adjustment of noise and measurement covariance is proposed. Finally, it is proved that the combination of fractional order modeling and adaptive unscented Kalman filter algorithm can improve the accuracy and anti-interference ability of SOC estimation.
Optimization voltage-dependent current order limiter parameters for improving the voltage stability of multi-DC receiving-end power grid
Authors: Zhang Yijing , Shi Yanqiang , Liu Jiachen , Huang Minjie , Luo Heyu , Liu Xiaolong 
Published: October 2024

Abstract
Power grids with multi-DC high voltage direct current (HVDC) commonly face challenges such as inadequate voltage support, exacerbated interactions between AC and DC, and complex and variable operation modes. Severe AC faults in these grids can easily trigger consecutive failures in DC commutation, potentially leading to a collapse in the voltage across the entire network. This study introduces a synchronized optimization technique aimed at improving voltage stability within receiving-end power systems by adjusting the parameters of the Voltage Dependent Current Order Limiter (VDCOL). Firstly, principles for adjusting VDCOL parameters are proposed grounded on voltage instability mode. Derived from the sorting outcomes of the multi-infeed short-circuit ratio, parameters of VDCOL are adjusted to ultimately suppress commutation failures and enhance the capability of receiving-end power grids to accept external power. Finally, the simulation result verifies that optimizing VDCOL parameters according to the proposed method significantly increases the capability of receiving-end power grids to accept external power.
Study on temperature characteristics of inter-turn short circuit in oil-immersed self-cooling transformer windings
Authors: Fang Zhen , Liu Li-Qiang 
Published: October 2024

Abstract
According to the physical characteristics of the short turn of the transformer winding, the possibility of judging the position of the inter-turn short circuit by the axial temperature characteristics of fault winding is discussed. Initially, employing multiphysics simulation techniques, a coupled electromagnetic-thermal multiphysics model of the ONAN transformer is established to simulate the three-dimensional temperature distribution under different load impedances, fault severities, and short-circuit positions. Subsequently, a comparative analysis is conducted on the temperature distribution characteristics of windings or axial oil passages under normal and various inter-turn short-circuit fault conditions. Through this investigation, it is proposed to utilize temperatures at five equidistant points distributed axially inside faulty windings as characteristic monitoring quantities. This proposal can be used as the basis for the research of subsequent shorted winding turn position positioning algorithms.
Improved differential protection scheme based on the statistical distribution of differential current sampling points for the main transformer in wind farms
Authors: Song Xupeng , Liu Zhisheng , Yang Yang 
Published: October 2024

Abstract
During the fault ride-through process in wind farms based on doubly-fed induction generators (DFIGs), there is a frequency deviation phenomenon in the short-circuit current provided by the wind farm, which can cause errors in phasor extraction based on the Fourier algorithm, and the second harmonic restraint criterion may operate incorrectly. As a result, the differential protection remains locked for an extended period, leading to a decrease in the performance of the traditional differential protection. To address this issue, an improved differential protection scheme based on the time domain and frequency domain in DFIG-based wind farms is introduced. The method is based on the longitudinal statistical distribution of pre-processed differential current sampling points combined with ratio differential elements to form an improved differential protection scheme. Simulation results show that the proposed protection scheme quickly and accurately identifies magnetizing currents and internal transformer faults, and performs well in cases of external faults accompanied by current transformer (CT) saturation and CT measurement error.
Research on output voltage control of DAB converter based on SMC-ESO
Authors: Zhang Sining , Wang Xiaosong , Wang Dazhi , Qiao Fengpu 
Published: October 2024

Abstract
This article addresses the limitations of collecting disturbance load current information to regulate output voltage in practical applications and proposes a sliding mode control based on an extended state observer. The extended state observer is used to accurately estimate disturbance load current, thereby reducing the number of current sensors and achieving effective control of output voltage without relying on real-time load current information. Finally, a corresponding model was built in the MATLAB/Simulink environment and simulation experiments were conducted.
Active-reactive power coordinated optimization of distribution network considering reactive power compensation of EV charging station
Authors: Zhang Yuanbo , Li Tao , Sun Yue , Yang Chao 
Published: October 2024

Abstract
With the increasing number of electric vehicles (EVs) integrated into the distribution network (DN) year by year, the uncertainty of EV charging has exacerbated voltage fluctuations in the DN, affecting DN’s safe and stable operation. Therefore, this paper proposes a DN active-reactive power coordinated optimization method that combines the voltage regulation capability of EV charging piles with real-time reactive power regulation devices. Firstly, a generative adversarial network (GAN) based on Wasserstein distance and gradient penalty is used to generate typical EV charging scenarios to address the uncertainty of EV charging load. Secondly, the impact of EV uncertainty on the stability of the DN operation is analyzed, and a DN active-reactive power coordination model considering the reactive power compensation of EV charging stations is constructed. Finally, simulation analysis is conducted on the IEEE33-node distribution system to validate the model’s effectiveness.
Electromagnetic reverberation characteristic of chamber in high intensity radiation field test
Authors: Zuo Chang , Si Xiaoliang , Huang Yeyuan , Duan Zemin 
Published: October 2024

Abstract
This paper studies the electromagnetic reverberation characteristics of the cabin in high-intensity radiation field tests. Referring to the design requirements of the reverberation chamber, a simplified model of the cabin with an mode stirrer is established. Based on the joint simulation method, field strength sampling was conducted at different stirring positions, and the cabin reverberation characteristics under external electromagnetic wave irradiation were analyzed according to the requirements of field uniformity and statistical characteristic. The feasibility of creating a good reverberant field environment in the cabin for statistical testing was verified.
Research on the gate reliability of HZO FeFETs with different interface layers
Authors: Liu Xing 
Published: October 2024

Abstract
The gate reliability of Hf0.5Zr0.5O2 (HZO) ferroelectric field-effect transistors (FeFETs) with varying interface layers was investigated in this paper, specifically SiO2 and Y2O3. By employing voltage-ramp and time-dependent dielectric breakdown (TDDB) tests, along with an analysis of different gate dimensions, we provide insights into the impact of interface layer composition and device geometry on FeFET performance and reliability in this study. The research aims to enhance device longevity and efficiency by understanding and optimizing the interface layer’s dielectric properties, addressing the critical challenge of gate dielectric failure, and guiding future design strategies for improved ferroelectric memory devices.
Battery SOC estimation based on UHIF algorithm for third-order circuit models
Authors: Lao Kaiyue , Zhou Guangxu , Miao Henggang , Zhu Yunhai 
Published: October 2024

Abstract
With the rapid development of electric vehicles, the accurate estimation of power battery SOC becomes particularly important. Since the noise chance distribution of the power battery is unknown under different cases of operating currents, this paper analyzes the above problem, relies on the third-order equivalent circuit model, uses the forgetting factor recursive least squares (FFRLS) for parameter identification, and proposes a third-order circuit model-based traceless H-infinity estimation algorithm (3RC Unscented H-Infinity, 3RC-UHIF), whose main framework is the H-infinity filtering algorithm introduced for the problem that the noise assumption of the UKF algorithm must be white noise. The non-Gaussian noise is filtered by minimizing the cost function, and the a priori state estimates of the expectation and error covariance matrices are rewritten in third-order form to improve the estimation accuracy.
A demand response scheduling method of distribution network based on shock load screening and prediction
Authors: Zhang Binfan , Zhao Shengnan , Yan Peicheng , Cheng Xingong 
Published: October 2024

Abstract
With the increasing power load, the power supply pressure of the distribution network increases, among which the impact load has the characteristics of large instantaneous power and fast power growth, which makes the distribution network face problems such as insufficient capacity and short-term supply and demand imbalance. The load interlock method has been used in the past to cope with the impact load of the distribution network. Still, this method forcibly schedules the user load, affects the user’s power consumption experience, and makes it difficult to ensure sufficient dispatch. To solve this problem, this paper adopts a distribution network demand response scheduling based on impact load screening and prediction. By applying the outlier anomaly detection algorithm, the impact load is screened from numerous loads. Then, the required impact load is determined according to the maximum amount of allowable dispatch in the distribution network lines and the location of the grid load nodes. Then, a demand response resource scheduling model that considers shock load is established. This method solves the problem of insufficient capacity caused by shock load, avoids the cost caused by power network expansion, and gives economic compensation to users through demand response, achieving a win-win situation.
Lossless congestion control based on priority scheduling in named data networking
Authors: Diao Wenlan , An Jianping , Li Tong , Wang Xiaotian , Liu Zhoujie , Li Zhenghan 
Published: October 2024

Abstract
The LEO satellite network is an important component of the next-generation (6G) communication network, carrying a large amount of data exchange, which poses challenges to congestion control. The Named Data Networking (NDN) with the characteristics of in-network cache and content multicast can save the traffic consumed by data distribution. However, due to issues such as long control loops, packet loss, and lack of quality of service support, the existing congestion control methods in NDN cannot be applied to the LEO satellite networks. In this paper, we propose an easily deployable congestion control method: NDN Data Forwarding Control (NDFC). We improve the backhaul forwarding of data packets. According to the occupancy of the output queue in each interface, the data packet can be injected into the queue from the content store (CS), avoiding congestion and achieving packet loss-free forwarding. Besides, we design a forwarding dispatch table and priority-based scheduling to support the rapid transmission of data packets with high priority and the fair transmission of data packets with the same priority. The NDFC method has been evaluated and the simulation results show that compared with the practical congestion control scheme (PCON), the NDFC mechanism stabilizes high throughput, reduces the completion time of high-priority data flows by 50%, and evenly allocates bandwidth for data flows with the same priority.
Audio completion method based on tensor analysis
Authors: Zhu Lin , Yang Lidong 
Published: October 2024

Abstract
The audio signal may be damaged or lost in the process of acquisition and transmission, resulting in poor quality of the received audio signal and affecting subsequent processing. The completion algorithm can be used to recover the audio with some loss. In this paper, the tensor ring decomposition is introduced into the recovery algorithm to recover the audio. The audio signal is pre-processed, then it is transformed from the time domain to the frequency domain. The MEL frequency spectrum diagram of the audio signal is obtained after MEL scale transformation, and a third-order tensor is constructed. Then, the audio signal is recovered by the recovery algorithm, and the results are compared. The results show that the recovery algorithm based on tensor analysis has a better audio recovery effect than the traditional matrix completion method.
Fast mapping algorithm with optimized placement selection for CGRA
Authors: He Tengyuan , Lu Weijun , Li Pengju 
Published: October 2024

Abstract
In the field of parallel computing, Coarse-Grained Reconfigurable Architecture (CGRA) is a promising technique for processing parallel applications. Application kernels are mapped on CGRA through the calculation of mapping algorithms. This paper presents a Fast Mapping Algorithm with Optimized Placement Selection for mapping application kernels on CGRAs. The mapping algorithm incorporates heuristic optimizations for processing element (PE) selection based on Hycube Mapping Algorithm and reduces the redundant extra calculation procedures to achieve fast DFG mapping. In algorithm tests from CGRA-Bench, the proposed algorithm demonstrates an average 70.83% reduction in mapping computation time compared with Hycube Mapping Algorithm. Moreover, the quality of mapping results, as measured by the initiation interval (II), remains largely consistent with Hycube Mapping Algorithm, thereby significantly reducing computation time and improving the mapping efficiency.
Novel Cascaded PV System with Common Mode Leakage Current Suppression
Authors: Cai Xiaopeng , Li Zichao , Wang Yizhou , Zhang Ruizhi , Han Jing 
Published: October 2024

Abstract
The problem of large common mode leakage current (CMLC) in cascaded H4 transformerless PV systems is investigated. Firstly, the reasons for the large CMLC of the cascaded system are analyzed, the common mode equivalent circuit is established, based on which the cascaded iH6 PV system is proposed, and the mechanism by which the cascaded iH6 system is able to effectively suppress the CMLC is analyzed and explained. Finally, the system is verified by simulation in Matlab/Simulink.
A clustering algorithm for multidimensional time series devices based on feature extraction
Authors: Li Lei , Zhang Yong , Zheng Yiming , An Gaoxiang , Guo Feng , You Ziyi 
Published: October 2024

Abstract
With the increasing number and types of data center equipment, the use of centralized monitoring has some disadvantages, such as network bandwidth limit and excessive data processing pressure of the monitoring server. The equipment grouping according to the running status and trend of the equipment can meet the dynamic changes of the equipment, and the equipment with similar running status is divided into groups for monitoring, which greatly improves the sensitivity of fault detection. Therefore, this paper designs a multidimensional time series device clustering algorithm based on feature extraction. First, a feature extraction algorithm of time series fluctuations based on correlation measure is designed to extract the subject running trend of monitoring data, reduce the dimension of time series data, and improve the accuracy of clustering. Second, a multidimensional time-series clustering algorithm based on Fuzzy C mean is designed to obtain the optimal clustering results. The experimental simulation results show that the proposed algorithm improves the clustering effect and can more accurately cluster the devices with similar running characteristics into one group for monitoring.
Gray mapping method of QAM constellation for trellis shaping
Authors: Wang Yuanming , Li Yuanjie , Dong Chao , Niu Kai 
Published: October 2024

Abstract
A novel method to construct quadrature amplitude modulation (QAM) constellation for trellis shaping is proposed. To overcome the non-gray mapping of set-partitioning constellation used in trellis shaping, we proposed a Gray mapping constellation. This constellation can get the same shaping gain as the set-partitioning constellation while the demodulation bit error ratio (BER) performance is better than the latter, which makes the trellis shaping connect with the forward error correction (FEC) code to form an FEC-shaping concatenation system to improve the error correction performance. For 64-QAM and 256-QAM, based on the BER results, the system can get 0.5-0.8 dB gain with the non-shaping system at BER 10−3.
NASA’s aerospace data relay satellite system development and its implications
Authors: Li Qiang , Wang Hongfeng , Liu Wenwen , Lv Lihong 
Published: October 2024

Abstract
The research, development, and application of the Tracking and Data Relay Satellite System (TDRSS) have greatly improved the TT&C coverage of low-orbit spacecraft and the real-time data transmission capability, but as the number of low-orbit spacecraft grows larger and larger, it is difficult for TDRSS to provide data relay services for all low-orbit spacecraft. For this reason, the National Aeronautics and Space Administration (NASA) of the United States is exploring new data relay services through commercial communications satellite systems and has selected six companies to carry out demonstration and verification tests. China’s low-orbit satellite system is developing vigorously with more and more satellites, and there is also the problem of a shortage of resources for TDRSS and TT&C stations. By sorting out the procurement of NASA’s commercial data relay service, differentiating between the task characteristics, diverting business, and enhancing the commercial spaceflight capability, this paper provides a reference for the expansion of China’s data relay service.