bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent Diagnosis Method of Transformer Based on Oil Chromatographic Data
Authors: Su Mingran , Zhang Anan , Gong Zemin 
Published: July 2024

Abstract
As one of the most important equipment in the operation of power system, ensuring the safe and stable operation of power transformer is a prerequisite for ensuring the normal supply of power grid. The failure of the power transformer will lead to the interruption of the power supply of the power grid and cause huge losses to the national economy. With the rapid development of China’s power grid scale and the continuous improvement of the intelligent construction of modern power system, the number of power equipment such as transformers is increasing. Therefore, it is necessary to make timely and accurate judgment on the status of key power transformation and distribution equipment in the power system, and grasp the operation of electrical equipment in real time, so as to ensure the reliability of power supply in the power system. This paper takes 220kV oil-immersed transformer as the research object. This paper considers the problems and characteristics of the current transformer fault diagnosis methods. By making full use of dissolved gas analysis (DGA) information in oil, a method for diagnosing faults in electrical transformers based on particle swarm optimization and generalized regression neural networks has been proposed. The simulation comparison experiment is carried out to select the most suitable transformer intelligent diagnosis method based on oil chromatographic data.
An Identity Authentication Method Of Configuration Terminal Based On Audio Feature Recognition In Smart Distribution Network
Authors: Qiao Hong , Wang Kaiyi , Long Yanbo , Huang TanLong , Xu Xianyong , Liu Shuai 
Published: July 2024

Abstract
A smart distribution network contains a large number of data acquisition terminals used to monitor the operation status of the distribution network and control the operation parameters, some of which are located in outdoor and other unsafe environments. If the attacker operates and configures the distribution network terminal by pretending to be a legitimate configuration device, it will become a springboard to infiltrate the main station of the internal network or misreport fault information, which may result in the leakage of sensitive data and even destroy the running state of the equipment. Identity authentication is the first line of defense to ensure the safe and stable operation of equipment. At present, the commonly used identity authentication technologies such as certificate authentication and key authentication have certain security vulnerabilities at different levels, which make it increasingly difficult to prevent the ever-changing network attack technology. According to the characteristics of physical unclonable facility (PUF), which is used to describe the hidden characteristics of the device and is directly related to the hardware, this paper proposes a method to authenticate the validity of the power distribution network configuration terminal based on the audio feature, which collects the frequency response characteristics of the hardware from the audio sensor of the configuration device as the identification information to identify the validity of the configuration device.
Conversion of Solar Irradiance to Photovoltaic Power with Hybrid Model Chains
Authors: Xia Han , Gao Fan , Wang Wenting , Liu Bai , Zhang Hao , Yang Dazhi 
Published: July 2024

Abstract
Accurate solar resourcing and forecasting depend upon the ability to convert weather forecasts to photovoltaic (PV) power forecasts, which remains challenging till this day. This study explores the fusion of physical model chains and machine learning, to achieve improved irradiance-to-power conversion. The outcomes of some well-tested steps of a model chain are used as input features of machine learning models, so as to form a hybrid model with high precision and wide applicability. Within this framework, a comparative analysis is conducted among three potential machine-learning models, including the long short-term memory (LSTM) network, k-nearest neighbors, and gradient boosting regressor. The results indicate that the physical-LSTM hybrid model exhibits superior performance to other options, reaching a correlation coefficient of 0.997. In cases where specific modeling parameters are unavailable, the hybrid model can mitigate the reliance on PV design parameters while gaining a notable increase in irradiance-to-power conversion accuracy, thereby substantiating a robust underpinning for PV grid connection.
Virtual Power Plant Response Strategy Considering Dynamic Aggregation of Different Flexible Resources
Authors: Wu Chang , Fang Lue , Yang Tao , Zhang Feng , Qiu Yutao 
Published: July 2024

Abstract
Aggregate and adjust distributed resources, the virtual power plant realizes the collaborative optimization of different forms of electric energy, which greatly improves the flexibility of the power system. Considering the flexibility of distributed resources, this paper designs the active power and frequency regulation modes of virtual power plants, and proposes a response strategy for dynamic resource aggregation of virtual power plants. Firstly, the distributed energy resources of virtual power plants are classified, and their dynamic characteristics are fully considered for dynamic aggregation, and the active power and based on these characteristics, a frequency regulation model is established. Secondly, according to the real-time operation status of sampled distributed resources, a response prediction model of virtual power plant based on dynamic resource aggregation was proposed. Finally, taking the 35kV substation workbench as an example, the response effect of the virtual power plant at different times of a typical day is verified.
Fault Condition Testing of Photovoltaic Inverter Controller Based on Active Support Technology using Hardware-In-the-Loop in RTDS
Authors: Li Shengnan , Hu Yun , He Xin , Zhu Yihua , He Tingyi , Tu Liang , Deng Can , Luo Chao , Su Mingzhang , Zeng Guanming 
Published: July 2024

Abstract
Photovoltaic power generation is an important component of sustainable power generation and has been widely utilized. Grid connected inverters are key equipment in photovoltaic integrated systems, which directly affect the stability of the system. In this paper, the transient model of photovoltaic inverter controller based on active support technology is derived. The transient mathematical model and corresponding self-closing loop control strategy are analyzed. Based on the RTDS, a hardware controller semi-physical simulation platform is established to simulate and test photovoltaic inverters under different fault and control methods. Finally, the simulation data obtained from the self-closing loop control method and the hardware control method are compared to verify the stability and reliability of the photovoltaic inverter hardware controller.
Research on Transformer Multiple Fault Detection Based on Pulse Coupled Injection
Authors: Jin Yuhui , Liu Jiangnan , Cai Linglong , Ma Zhiqin , Chen Yu , Hu Wei , Liu Yu 
Published: July 2024

Abstract
The fault diagnosis method of winding deformation based on pulse coupling injection is becoming more and more popular due to its advantages of online detection. In order to further improve the method, a pulse generator with adjustable parameters is developed in this paper to provide stable excitation. Its amplitude is adjustable from 600v to 5000v, pulse width is adjustable from 100 to 1000ns, and frequency is adjustable from 1 to 20kHz. In the diagnosis of winding deformation, the current research mainly focuses on the single deformation fault, and rarely involves the mixed deformation fault. Therefore, based on the pulse coupling injection method, field experiments are carried out to verify the feasibility of the method and find out the important reasons affecting the curve. At the same time, the detection experiment of multi-winding deformation fault superposition of a transformer is carried out, and the RVM frequency divider is used to accurately diagnose the mixed fault types of transformer windings.
Analysis of AC Filter Tripping Accident based on UHV Converter Station
Authors: Ai Ye , Bi Ruixuan , Ma Mengchao , Li Pei , Chen Lina , Li Haifeng 
Published: July 2024

Abstract
An AC filter tripping accident occurred in a converter station of the North China Power Grid in 2019, which seriously affected the safe and stable operation of the power grid. In this paper, combined with the configuration of the AC filter in the converter station and the principle of capacitor unbalance protection, the tripping mechanism of the AC filter is explained. It is considered that the direct cause of the tripping of the AC filter is the short-circuit discharge phenomenon between the layers caused by the dead trees (grass) branches on the capacitor tower, which causes the instantaneous fault between the layers of the low-voltage capacitor, and finally leads to the action of the capacitor unbalance protection. From the perspective of operation and maintenance, some practical preventive measures are put forward, which will help to improve the safety of AC filter operation in the future, and then improve the reliability of DC transmission system, especially during the peak summer, peak winter and special power protection period, to ensure that there will be no fluctuation in DC load transmission and protect the safe and stable operation of power grid.
Collaborative Planning of Energy Storage System Considering Peak Regulation Demand and Renewable Energy Integration
Authors: Pan Dong , Wang Xuli , Yang Xin , Shi Tiancheng , Shi Dajun , Chen Zhu 
Published: July 2024

Abstract
The capacity of renewable energy integrated into the grid is steadily expanding, necessitating strategic planning of energy storage systems (ESS). Such planning is pivotal not only for reducing peak load shaving but also for augmenting the grid’s capacity to accommodate renewable energy sources. In this manuscript, an ESS planning scheme considering peak regulation demand is proposed. The outer model of this scheme constitutes a multi-factor optimization model with the net income of ESS and the new renewable energy acceptance index. The inner model is an optimal dispatching model, which aims at minimizing the system peaking operation cost, optimizes the renewable energy acceptance of the system, and obtains the charging and discharging power and energy storage configuration capacity of the ESS. Finally, the improved IEEE-30 bus system is used for simulation, and the results verify the feasibility and effectiveness of the proposed method.
Voltage-Coupled Cascading Trip-off within Permanent Magnet Synchronous Generator Based Wind Farm during Low Voltage Ride Through
Authors: Zhang Yujiang , Ding Zewen , Zhang Pengcheng , Zou Xin , Yao Ruizhe , Wang Fei 
Published: July 2024

Abstract
With the increasing penetration of renewable energy, power electronic interfaced devices have become dominant in power system. It is necessary to investigate the dynamic process of the power grid in a smaller time scale. In case of failing in low voltage ride through (LVRT), the traditional method that treats the response of permanent magnet synchronous generator (PMSG) based wind farm as a one-time trip-off cannot accurately model the cascading failures in such a new-type power system. This paper focuses on this issue and conducts a detailed study of the dynamic process in a PMSG wind farm during LVRT. Firstly, we reveal an evolution mechanism of voltage-coupled cascading trip-offs in PMSG wind farm. Then, the wind farm based on PMSG is modeled in DIgSILENT/PowerFactory. The model takes into account the voltage losses on the power collection line inside the wind farm, and each wind turbine includes an independent control model. Finally, by simulation, we obtain the principle on cascading failures of internal wind turbines in the wind farm, and confirm the interaction mechanism between turbines as well as the detailed process of cascading failures.
Probability and Severity Based Overvoltage Risk Analysis Considering Large-Scale DG Access
Authors: Dong Yichao , Zhang Tianyu , Yan Dawei , Luo Tao , Song Jia , Lei Zheng , Li Yuanyuan , Zhang Dezheng , Chen Yiwen , Luo Fengzhang 
Published: July 2024

Abstract
With the rapid increase of distributed generation (DG) in the distribution network (DN), the analysis of DG maximum bearing capacity (DGMBC) is paid more attention. However, the existing methods can not precisely simulate the overvoltage risk concerning occurrence probability and severity. To this end, the overvoltage scenario classification method and overvoltage severity coefficient correction method are proposed in this paper, which can effectively reflect the real overvoltage risk in DN. The IEEE 33-bus test feeder is used to compare the calculation results of overvoltage risk with other methods.
Research on Inverter Control Strategy Based on FPGA
Authors: Wang Haiteng , Li Ruixiang , Zhou Shuqing , Chen Jie 
Published: July 2024

Abstract
This study adopts a composite repetitive controller strategy in a three-phase four-wire circuit, combining proportional resonance and repetitive control, which effectively suppresses harmonics and improves system performance. At higher switching frequencies, FPGA is used to achieve efficient control to ensure system stability and performance. This research provides new ideas for improving the performance of on-board inverters, especially in terms of high-speed control, nonlinear load and harmonic processing. SiC devices and composite control strategies provide more sustainable solutions for future rail transit systems.
Analysis of Parameter Sensitivity to Overvoltage under DC Commutation Failure
Authors: Dong Xuetao , Duan Naixin , Huo Chao , Rong Xiuting , Xi Gongwei , Xu Kaiwen 
Published: July 2024

Abstract
In recent years, the growing integration of renewable energy sources into power systems has highlighted the significance of enhancing the grid’s capacity to accommodate these resources efficiently. Direct Current (DC) transmission stands out as a pivotal solution to bolster the integration of renewable energy. This study delves into the critical issue of overvoltage occurrences at the sending end, particularly triggered by failures in DC commutation. Through the development of a comprehensive PSCAD electromagnetic simulation model encompassing synchronous machines, centralized renewable energy sources, along with DC components, the research rigorously investigates the intricacies of DC commutation failures. Specifically, it explores their underlying mechanisms responsible for inducing overvoltage at the sending end. Furthermore, the paper undertakes an extensive analysis of the voltage dynamic processes and their associated sensitivity factors, shedding light on crucial aspects of grid stability and resilience in the face of evolving energy landscapes.
Research on Multi-Objective Optimization Scheduling Strategy for Cascaded Small Hydropower Stations Based on Improved HBA
Authors: Liu Li , Tan Jianzhong , Li Tingting , Chen Xizhi , Zeng Qiancheng 
Published: July 2024

Abstract
Effective optimization scheduling strategy is the premise and key to improving the power generation and capacity benefits of cascade small hydropower stations (CSHS). However, the power generation of CSHS is significantly affected by complex hydraulic and electrical constraints. To effectively solve this problem, an improved honey badger algorithm (HBA) is proposed by updating the mutation strategy and introducing non-dominated sorting to achieve the multi-objective optimization scheduling solution of CSHS. The following improvements have been made to the standard HBA: Firstly, the Tent chaotic mapping is applied to the population initialization stage, its strong ergodicity and randomness ensure the randomness of the initialization stage and improve the global search ability of CSHS scheduling. Secondly, the powerful optimization ability and fast convergence speed of the Golden-Sine strategy make updating and mutation more efficient, greatly enhancing the local search ability of CSCH scheduling. And then combining the non-dominated sorting of the non-dominated sorting genetic algorithm-II (NSGA-II), an improved multi-objective Honey Badger Algorithm (IMOHBA) is further proposed to achieve multi-objective solutions for CSCH scheduling. Finally, abundant field experiments were tested for validation. The results expressed that compared to other algorithms, the effect of IMOHBA in CSHS scheduling can further increase power generation, while also improving the peak shaving ability of CSHS.
Study on Breakdown Characteristics and Attenuation Characteristics of Air Mixed Gas
Authors: Yu SiNan , Lin Xin , Zhang Bo , Zhao YanZhe 
Published: July 2024

Abstract
Nowadays, the global demand for environmental protection and energy saving is getting higher and higher. In the past, SF6 gas was regarded as an environmentally unfriendly gas in the circuit breaker with SF6 gas as the insulating medium. In order to save energy and reduce emissions, this paper uses clean and environmentally friendly air as the arc extinguishing medium. The gas mixture studied contains N2, O2 and CO2. Through two approximate values of Boltzmann equation, we obtain the electron energy distribution function of air mixed gas under different electric field reduction conditions. By studying the changes of ionization and adsorption coefficients of particles under various collision conditions, we obtained the conversion breakdown field strength (E/N) Cr of air mixture. An arc attenuation model is built to characterize the arc attenuation characteristics using the prior transport characteristics as input. The arc attenuation process is broken down into three steps: heat recovery, pre-ignition, and arcing. All of these phases are determined by the changes in axial temperature and arc conductance over time. Analysis is done on the air and nitrogen thermal recovery and pre-dielectric recovery phases. This study explores the use of clean dielectrics to ensure optimum performance of primary equipment in the power system, based on current circumstances.
Influence Of Transmission Lines On Buried Pipelines Under Various Operation Conditions
Authors: Hu Xin , Wang Yifei , Xi Xiaojuan , Guo Yanxun 
Published: July 2024

Abstract
Electromagnetic interference from transmission lines to adjacent pipelines can adversely affect the safe functioning of these pipelines. In this paper, a simulation model that the transmission line crosses the buried pipeline is established in CDEGS software. The influence of current amplitude, soil resistivity, and cross angle on the electromagnetic interferences are analyzed under different operation conditions of transmission line, including normal operation, short circuit fault and lightning fault. The analysis results are as follows: the soil resistivity has a great influence on the coating withstand voltage under the short circuit fault and lightning fault condition; with the increase of the current amplitude and the cross angle, the coating withstands voltage increases and decreases, respectively. These results indicate that, during construction, it is advisable to avoid parallel layouts of transmission lines and pipelines. Pipelines ought to be built in regions characterized by lower soil resistivity.
Switching Control for Voltage Balancing of Lithium Batteries
Authors: Meng Qianqian , Yan Jiahao , Zhu Ren , Li Heng 
Published: July 2024

Abstract
Battery system consists of many battery cells or modules with different characteristics, in order to achieve reliable, efficient and long time use of the battery system, and to avoid the performance difference between single cells due to manufacturing and aging, we need to balance the voltage of single cells. At present, the research and development progress of battery balancing technology lags far behind the development of battery technology. In order to achieve effective balancing of single cells in a battery pack, we propose a “switching tube + resistor” type passive balancing technology for single cell voltage, which is a method to distribute the switching time of the shunt circuit according to the voltage of each single cell, so as to control the charging current of single cells and achieve battery voltage balancing, but The traditional passive balancing method will make the battery management system unstable therefore it is difficult to put it into use, this paper proposes a new switching control algorithm to overcome the problem of passive balancing making the BMS unstable, thus providing an effective balancing method that can be used practically in the use of lithium batteries.
Study on the Design of Valve Base Insulation and Power Supply Transformer for High-Voltage DC Circuit Breaker
Authors: Wang Wenjie , Lyu Wei , Zhao Yinfeng , Zou Feng , Lu Yu , Fang Taixun 
Published: July 2024

Abstract
High-voltage DC circuit breaker is a key piece of equipment to building DC power grids. DC circuit breakers need to support and isolate from high voltage to ground through valve-based equipment and use valve-based power supply transformer to continuously supply energy to high potential components, the electrical performance of these two equipment determines whether DC circuit breakers and DC networks can be operated safely and reliably. For this reason, this paper carries out the research on the insulation capability of the valve base and the performance of the power supply transformer, such as the design and simulation of electric and thermal fields, as well as the test program. Firstly, the insulation design and simulation study of the valve base as a whole is carried out, and the design optimization of the equipotential scheme of the top homogeneous tubular bus, diagonal pull insulator and hydroelectric pole is completed. Secondly, the design and simulation verification of the thermal field distribution of the energy-supply transformer, the overvoltage between the ends of the output windings and the optimization scheme, and the short-circuit impedance were carried out. Finally, the insulation performance of the valve base, the temperature rise of the energy supply transformer, the overvoltage simulation of the output winding and the short-circuit characteristics were tested. The results show that: after optimization, the maximum field strength of the homogenizer is 2.3kV/mm, and the overall maximum field strength of the valve base is 2.61 kV/mm on the diagonal insulator, and there is no pressure difference between the water circuit and the fittings using the three-pin vertically distributed hydropower electrode scheme; the temperature rise of the supply transformer in the simulation and the actual measurement is 27K and less than 30K; by means of the parallel connection of the MOV, the overvoltage of the output winding of the power supply transformer under voltage impulse is effectively reduced to -1.8kV; the measured short-circuit impedance of the power supply transformer is 69.5%. The optimized design of DC circuit breaker valve base and power supply transformer can operate safely, and effectively support the construction of DC circuit breaker and DC power network.