bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative evaluation of power grid voltage stability level of power system with high proportional power electronics device
Authors: Ding Haoyin , Zhang Yijing , Liu Jiachen , Sun Jinwen , Hao Yi 
Published: December 2024

Abstract
There is an increasing need for long-distance electricity transportation using high voltage direct current (HVDC). By incorporating numerous renewable energy grid integration technologies at the receiving end, an advanced power grid network will be built. The occurrence of short-circuit faults at the receiving end has the potential to trigger commutation failure and voltage dip. Consequently, the exploration of transient voltage stability assessment is pivotal in enhancing the secure and reliable functioning of the receiving electricity grid. To address this challenge, this paper initially delves into the quantitative assessment of the voltage stability status when subjected to a power system with high proportional power electronics device. It also clarifies the dynamic interplay between reactive power and voltage. Subsequently, a suitable quantitative assessment metric for transient voltage stability is formulated. Finally, the transient voltage stability evaluation of a power system with high proportional power electronics device is realized.
An integrated hybrid dual-frequency wireless charging system with anti-offset performance via phase-shift control for consumer electronics
Authors: Xie Ronghuan , Liu Qiliang , Lin Gaoyu , Tang Ruihua , Zhang Yiming 
Published: December 2024

Abstract
Wireless charging systems for consumer electronics suffer from the offset issue, which leads to drastic changes in the mutual inductance and thus produces unstable outputs. To solve the issue, this paper proposes an integrated hybrid dual-frequency wireless charging system with an anti-offset performance. The proposed topology can be equivalent to the CLC-S and S-S topologies at fundamental and third harmonic frequencies, respectively. Combining the opposite trends of the output voltages in the CLC-S and S-S topologies, the anti-offset performance can be realized. To further enhance the anti-offset performance, the phase-shift control is adopted to adjust the ratio of fundamental and third harmonic, thus extending the anti-offset range. The mathematical and experimental models are established. The experimental results are well aligned with the calculated ones, confirming that the proposed system can maintain stable output and high efficiency under different offsets.
Research on dynamic aggregation of virtual power plant based on evolutionary game
Authors: Li Chunyu , Zhao Wenfei , Wang Jialei , Lu Mengxian , Yang Xiaoran 
Published: December 2024

Abstract
With the rapid development of Chinese society, there is an increasing demand for electricity from users, which brings great challenges to the security of the power grid. As a new technical means, a virtual power [1] plant is an inevitable choice for the future development of power systems to participate in power grid regulation. The aggregation of virtual power plants participated by distributed energy sources is the key technology for virtual power plants to mobilize distributed energy sources to participate in power grid regulation. Based on this background, this paper proposes a model of dynamic aggregation of distributed energy in virtual power plants based on evolutionary game theory [2] to realize dynamic aggregation of virtual power plants. Finally, the effectiveness of the proposed model is demonstrated by a numerical example.
A fault detection method in asymmetric networks based on the zero-sequence current
Authors: Cai Jiamin , Liu Baowen , Yu Baoqi , Liu Delin 
Published: December 2024

Abstract
There is always zero-sequence current in the MV network because of its asymmetric parameters of transmission lines. Therefore, studying the distribution characteristics of natural unbalanced current through the feeder of an asymmetric distribution network is conducive to the feeder selection. In this paper, the expression of the current of each feeder is derived and its composition and distribution characteristics are analyzed. Based on this, the steady-state model of the feeder is constructed. To eliminate the effects of natural unbalanced current, it is proposed to subtract the current before and after a fault occurrence, and subsequently identify the faulted line according to phase-angle characteristics of the resulting zero-sequence current increment. Finally, a MATLAB/Simulink simulation system is constructed and employed for verification purposes.
Application and platform decoupling strategy of substation integrated monitoring system
Authors: Li Zhaoguo , Zheng Jingrong , Diao Dongyu , Zhou Hualiang , Zhang Ting , Ju Lu , Liu Zechen , Zhang Xin 
Published: December 2024

Abstract
Aiming at the problems of poor data opening and sharing ability and closed application ecology of substation integrated monitoring system, the open monitoring system of a substation based on platform + APP architecture is proposed, which realizes the decoupling of APP and the monitoring system vendor platform through the security reinforced container technology, unified data interaction technology, and data service-oriented middleware technology. The decoupling of APP and platform promotes the construction of an open and shared industrial ecosystem for substation-integrated monitoring systems, which in turn improves the level of substation intelligence.
Reliability assessment of distribution networks with distributed generation considering different types of user loads
Authors: Jia Keyin , Shi Lei , Wang Xiyue , Chai Fangsen , Cui Yu 
Published: December 2024

Abstract
This paper meticulously evaluates the reliability of distribution networks integrated with distributed generation (DG), considering various user classifications. Initially, we delve into the daily load profiles of residential, commercial, and industrial sectors, establishing a nuanced time-series load model that encapsulates the distinct characteristics of these customer segments. Subsequently, we formulate a model for the harmonious operation of energy storage systems, tailored to the interplay between DG output and load requirements. Utilizing the sequential Monte Carlo simulation algorithm, we compute the reliability metrics for the IEEE RBTSBUS6 feeder system, revealing that DG integration significantly enhances distribution network reliability. Notably, identical DG output yields varied impacts on the reliability of distinct customer sectors, underscoring the need for tailored strategies in DG deployment.
Power grid accident inversion and risk identification based on adaptive fuzzy inference algorithm
Authors: Zhang Lu , Nan Dongliang , Zhao Qi , Tan Jinlong , Wang Chang , Liu Yongqiang 
Published: December 2024

Abstract
Based on power grid accident inversion and risk identification, a self-adaptive fuzzy inference algorithm has been designed. Using spatial reconstruction method to extract feature information from multi-channel risk data of power grid accidents, introducing the concept of risk accident hazard assessment value, and using it as a variable in the risk data perception model, a basic inversion model based on the selection and transformation of power grid accident risk variables is established. Fuzzy logic units are combined with neural networks to propose an adaptive neuro-fuzzy inference algorithm. Applying adaptive fuzzy reasoning algorithm to the integrated design of power grid accident inversion and risk identification, achieving risk identification. The experimental results show that the experimental data accuracy of this design method is the highest, reaching 0.9907, with an accuracy of 0.9336, a recall rate of 0.9214, a recognition time of 2.84 seconds, and a significant advantage in processing speed.
Virtual 3D modeling of thermal power plant turbines based on bilateral filtering algorithm for point cloud data
Authors: Zhai Weihao , Zhang Yifei , Jia Yun , He Jiahao 
Published: December 2024

Abstract
Point cloud segmentation and recognition for virtual 3D wind turbine modeling in thermal plants are disjointed, limiting coverage and elevating mean square error. A design leveraging bilateral filtering of point cloud data for virtual 3D wind turbine modeling is proposed to address this. This approach encompasses data acquisition, preprocessing, and multi-level segmentation to enhance coverage. Bilateral filtering is then applied to calculate the 3D model, with edge correction and verification. Tests reveal that compared to traditional k-means clustering, reduced project space, and hybrid filtering methods, the proposed bilateral filtering algorithm significantly reduces mean square error, maintaining it below 10, demonstrating improved stability, safety, and practical value for thermal plant fan modeling.
Selection of an oxygen injector for waste oxygen enrichment incineration with dual carbon targets
Authors: Wang Ke 
Published: December 2024

Abstract
Waste incineration is one of the most effective means of achieving harmlessness, minimization, and resource utilization. As environmental problems become more and more prominent, the more stringent environmental standards will greatly limit the development of conventional waste incineration technology. Therefore, the development of a new type of clean and efficient waste incineration technology will be the inevitable development trend of the waste incineration industry. Oxygen-enriched injector sizing study was carried out based on Computational Fluid Dynamics (CFD) techniques for the oxygen-enriched incineration technology used in waste grate incinerators. The application of CFD method is applied to different types of oxygen injection device velocity fields, temperature fields, concentration fields, etc. The results show that the ring-type oxygen injector can achieve a good mixing effect, and the resistance pressure drop is minimized, which is better than the nozzle-type oxygen injector to meet the actual needs of the project.
Analysis of energy storage optimization configuration based on the new rural energy system
Authors: Fan Zijian , Wei Xiao 
Published: December 2024

Abstract
Due to the influence of weather factors, distributed photovoltaics exhibit a characteristic of high output in the afternoon and low output in the evening, resulting in an imbalanced supply and demand of rural electricity, a low utilization rate of distributed photovoltaics, and slow progress in poverty alleviation in rural areas. This paper proposes a distributed energy storage optimization configuration model that takes into account various factors such as rural household electricity consumption, aquaculture load power supply characteristics, distributed photovoltaic output characteristics, and the lease period of distributed energy storage box battery modules. The optimization objective is to maximize the benefits of distributed photovoltaic systems in rural areas and minimize the investment costs of farmers, with distributed photovoltaic capacity and the lease period of distributed energy storage as decision variables. Further, considering the problem of the Slap Swarm Algorithm being prone to falling into local optima when solving the model, a set of optimal points is introduced to initialize the population and improve the algorithm’s global search ability. Finally, the effectiveness of the proposed model was verified through a comprehensive example of rural distributed photovoltaics.
Particle swarm optimisation of variable offset dual cross-limit combustion control strategies for the industrial boiler combustion
Authors: Liu Bao , Wang Guanrong , Wang Zaiying 
Published: December 2024

Abstract
This paper proposes an optimal control method for industrial boilers using particle swarm optimisation (PSO) algorithms to enhance the variable offset control technique. The method targets challenges such as suboptimal combustion air coefficients and prolonged system steam pressure stabilisation time during boiler production processes. By optimising the offset function and parameters in the variable offset dual cross-limit combustion control scheme, this paper aims to refine the combustion control model. Experimental results indicate that this improved PSO-based approach successfully maintains flue gas oxygen content within optimal combustion ranges under variable load conditions. These results ensure higher combustion efficiency and contribute to the reduction of environmental pollution, thus verifying the effectiveness of the optimised control system in practical applications.
Research on power flow calculation methods applicable to new energy generating station area
Authors: Liu Zhong , Yang Chuan , Xia Lei , Wu Jing , Zhou Guozheng 
Published: December 2024

Abstract
With the construction and development of new distribution networks, more and more new components such as distributed power supply and active loads have been connected to the new energy generation station area, posing new requirements for operational control in the new energy generation station area. However, the power supply and load coexist in the new energy generation station area, with both single-phase and three-phase, significant power fluctuations, inaccurate calculation parameters, and incomplete measurement information. Therefore, achieving accurate and efficient calculations plays an important role. This article proposes a power flow calculation method suitable for new energy generation station areas. Firstly, the three parts of this method are explained: overall scheme, stationary correction link, and generalized scene mapping; Secondly, the correctness and applicability of this method were verified through simulation.
A proximal bundle technique for solving equilibrium problems with inexact information
Authors: Feng Yongxiu , Huang Ming , Zhang Siqi , Chao Xiaodan , Lin Sida 
Published: December 2024

Abstract
In this study, we describe a bundle approach used to solve the nonsmooth equilibrium problems was described. Firstly, a general algorithm was considered, and the algorithm’s validity was demonstrated by showing how it can provide a sequence that converges to an approximate solution for the equilibrium problem. Moreover, in this strategy, using the inaccurate value of the objective function and the approximate gradient of the adjacent points, a proximal bundle algorithm is created to solve equilibrium problems, and the inaccurate value makes the subproblem easy to solve and maintains convergence. So, we find a simpler way to solve the equilibrium problem.
The inverse problem of time-fractional order and volatility for European option under time-fractional Black-Scholes model
Authors: Liu Siwen , Xu Zuoliang 
Published: December 2024

Abstract
In this paper, we discuss the inverse problem of time-fractional order and volatility for European option pricing under the time-fractional Black-Scholes model. This inverse problem is an optimization problem, which is proposed by the Tikhonov regularization method, and the alternate direction multiplier method (ADMM) is used to identify the time-fractional order and volatility of the pricing model. Numerical simulation and empirical analysis are given to demonstrate the effectiveness of the proposed method.
Modified Fourier Sine and Cosine transforms for the Hadamard fractional calculus
Authors: Zhao Zhengang , Gong Yi 
Published: December 2024

Abstract
Nowadays, the study of Hadamard fractional calculus is a hot topic, where the Hadamard fractional calculus is more suitable for describing the very slow process. Due to the logarithmic integral kernel of Hadamard calculus, it brings great difficulties to the corresponding theoretical analysis and numerical calculation. In this research, we introduce a novel modified Fourier Sine transform and a Fourier Cosine transform and then study the corresponding convolution theorem for the Fourier Sine and Cosine transforms. Finally, we provide the transformation results of the Hadamard fractional integral and derivative separately, which successfully overcome the difficulties caused by logarithmic singular kernels.
A Legendre spectral method for nonlinear Reaction-Diffusion equation
Authors: Liao Huiqing , Fu Ying , Wang Yichu 
Published: December 2024

Abstract
This paper mainly studies the Legendre spectral method of the 1-dimensional nonlinear reaction-diffusion problem. The Legendre polynomial is used to discretely analyze the spatial direction by a spectral method, and the leapfrog-Crank-Nicolson (LCN) three-layer scheme is combined with the temporal direction. The linear component is handled implicitly, the nonlinear component is addressed explicitly, and the Legendre collocation method is used to approximate the nonlinear term, enhancing both the stability of the format and the efficiency of the solution. From theoretical analysis to numerical computation, it can be seen that our numerical method is effective for the numerical calculation of nonlinear reaction-diffusion equations.
Two necessary and sufficient conditions for the completeness of L1(c) space
Authors: Li Wenhao , Sun Chuanfeng 
Published: December 2024

Abstract
We study the completeness of L
1
(c) space, where L
1
(c) is the space of integrable random variables (ε(| X |) < ∞), ε is a sublinear expectation and the metric of L
1
(c) is defined as ε(|X-Y|).
The non-de moivre formula for calculating the power of 3-parameter generalized quaternions
Authors: Deng Yong , Tang Jiangang 
Published: December 2024

Abstract
In this article, a recursive formula is obtained by using the simplified substitution of the 3-parameter generalized quaternion left matrix representation. Based on it, the direct formula of nth power calculation including real quaternions, split quaternions, split semi-quaternions, and 1/4-quaternions, is derived, which is more universal to solve the problem of inconvenient calculation with the De Moivres formula when the power n is large. Finally, the correctness of the obtained results is verified by two examples.
ON abelian extensions and Kronecker’s jugendtraum in algebraic number theory
Authors: He Li 
Published: December 2024

Abstract
Each subdivision within the cyclotomic domain constitutes an Abelian numerical field, and Kronecker established the reverse of this statement. His aspirations extended beyond the realm of rational numbers, delving into the Abelian extensions of imaginary quadratic numerical fields and introducing the renowned jugendtraum. It wasn’t until the emergence of class field theory in the 20th century that this youthful dream was confirmed as valid. This concept also maintains a close connection to Hilbert’s 12th problem, which remains unresolved to this day.
A blow-up criterion for three-dimensional compressible viscous isentropic magnetohydrodynamic equations
Authors: Chen Hao 
Published: December 2024

Abstract
We develop a blow-up criterion in this paper for the strong solution of the three-dimensional magnetohydrodynamic (MHD) flows Dirichlet problem. The velocity field’s deformation tensor’s norm is the only factor influencing this blow-up criterion. Specifically, it is not affected by temperature or magnetic field. These findings also suggest that the strong solutions of compressible MHD flows maintain global regularity as long as the velocity tensor remains bounded.
Direction of arrival tracking of non-circular signals: probabilistic hypothesis density filter with an improved likelihood function
Authors: Cao Jinke , Zhang Xiaofei , Li Dawei 
Published: December 2024

Abstract
Conventional direction of arrival (DOA) tracking methods typically track circular signals with a fixed number of sources without considering time-varying numbers of non-circular (NC) signals DOA tracking. To solve this problem, we propose a DOA tracking method for NC signals with a probabilistic hypothesis density (PDH) filter based on an improved likelihood function. We improve the likelihood function of PHD by taking advantage of the NC signal characteristics, thereby separating the mixed measures and constructing the likelihood function corresponding to each source. In addition, we exponentially weight the likelihood function to improve the accuracy further. Finally, we achieved DOA tracking of the time-varying NC signals using the PHD filtering implemented by sequential Monte Carlo (SMC). Based on simulation findings, the suggested approach outperforms the conventional method in terms of tracking accuracy and can address the issue of changing NC signal numbers throughout the tracking process.
An attention-based channel estimation network with residual mechanism for 5G OFDM systems
Authors: Jiang Jinjing , Huang Weipeng , Zhang Xiao , Yang Kun , Peng Tong 
Published: December 2024

Abstract
Due to the significant increase in data transmission speed and gradual increase in Doppler frequency shift, channel estimation accuracy has become one of the most prioritized considerations in many cases. Specifically, we propose an attention-based channel estimation network with a residual mechanism, named TRCE-Net. In our design, the use of the multi-head attention mechanism at the input of the encoder is to obtain richer feature details. A linear series decoder module is implemented by leveraging multiple residual networks with skip connections. This novel design is capable of improving the channel estimation accuracy after deepening the network while effectively preventing degradation. To lessen the number of parameters that the network needs to learn, we introduce the bi-linear interpolation mechanism to replace the traditional up-sampling layer to mitigate both computational overhead and model complexity. According to the simulation results, our proposed TRCE-Net is superior to other state-of-the-art methods with regard to estimation accuracy and robustness to different maximum Doppler shifts, such as ResNet and InterpolateNet.
Efficient probe weighting method for multiple-input multiple-output over-the-air testing
Authors: Han Xueya , Wang Weimin , Wu Yongle , Gao Jinchun , Cheng Xiaohe , Liu Yuanan 
Published: December 2024

Abstract
The multi-probe anechoic chamber (MPAC) method is utilized to reconstruct the channel by distributing proper weights to the probes in the over-the-air (OTA) testing scenario. The commonly used probe weighting method is a convex optimization solver. However, the solver is time-consuming. Owing to the numerous probes required for massive multiple-input multiple-output (MIMO) OTA testing, more time will be taken. Two efficient probe weighting methods are proposed in this paper. The results of the simulation verify that the proposed methods have higher computing efficiency and can achieve accuracy similar to that of the convex optimization solver.
Optimized spherical near-field to far-field transformations algorithm based on outlier retrieval and repair
Authors: Qu Jia , Wang Weimin , Wu Yongle , Tang Bihua , Liu Yuanan 
Published: December 2024

Abstract
In this paper, a spherical near-field to far-field transformation algorithm based on outlier retrieval and repair is proposed to solve the problem of obtaining inaccurate transformation results when the near-field data contains outliers due to probe anomalies. The transformation algorithm adopts the inverse matrix construction method to compute the transmission coefficients of the antenna for far-field reconfiguration with high precision. In addition, the local outlier factor algorithm is employed to fast retrieve the outliers in the input data and repair them according to the spline interpolation principle. By inputting the repaired near-field data into the transformation program, the derived far-field radiation patterns are in high agreement with the theoretical values obtained from the electromagnetic simulation, which can verify the efficiency and rationality of the proposed algorithm.