bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance Analysis of Distributed Compressed Air Energy Storage under Different Air Storage Chamber Models
Authors: Wang Kangxiang , Zhu Chuang , Du Xili , Di Yanqiang , Chen Laijun 
Published: May 2023

Abstract
To address the challenges brought by geographical, climate, and user dispersion in regional microgrids, villages in northwest China for example, a distributed compressed air energy storage combined heat and power model considering the thermodynamic characteristics of air storage devices is proposed. Firstly, the architecture of distributed compressed air energy storage system based on regional microgrids is constructed. Then, considering the thermodynamic characteristics of the air storage device under constant volume and insulation, a cogeneration model of distributed compressed air energy storage is established. The model includes compression subsystem, air/heat storage subsystem, and expansion subsystem. Finally, the results of combined heat and power supply of distributed compressed air energy storage system are discussed by case study simulation in different air storage chamber models. The results show that constant volume insulation as the air storage device is the best choice, which improve the system efficiency by up to 25.6%. The research results provide a theoretical basis and decision-making reference for the application of distributed compressed air energy storage system in complex environment.
Research and application of load forecasting method for park integrated energy system based on XGBoost algorithm
Authors: Chi Kun , Li Yuan , Gao Yue , Zhao Yuyang 
Published: May 2023

Abstract
Load forecasting is the basis of energy management and optimal dispatching of the park-integrated energy system, and its forecasting accuracy directly affects the overall operation performance of the system. Therefore, this paper proposes a load forecasting method for the park-integrated energy system based on the XGBoost algorithm. This paper first establishes the simulation analysis model of photovoltaic power generation and electric vehicle charging and discharging in the park and then carries out the supply and demand forecast and load characteristic modeling of the park’s energy system. Finally, this paper constructs the power prediction optimization control flow based on the XGBoost prediction model and uses the mean absolute percentage error (MAPE) and root mean square error (RMSE) as two evaluation indicators. The validity of the proposed method is verified by the data of the actual micro energy system in the park.
A Combing Data-Driven and Model-Driven Methods for Renewable Energy Acceptance Capacity Assessment in Distribution Networks
Authors: Xin Haokuo , Jiang Minglei , Lu Yu , Zhang Ying , Yu Wenfang , Jin Xinlong 
Published: May 2023

Abstract
To accurately improve the balanced new energy distribution network capacity assessment, this paper proposes a combined data-driven and model-driven renewable energy capacity assessment method for distribution networks. Firstly, the distribution generations (DG) output data are pre-processed to construct a scenario training sample set and extract seven types of DG daily output characteristics indicators. Secondly, a scenario generation model based on a conditional generation adversarial network is proposed to realize the coupling of scenario reduction and scenario generation based on K-means++ through daily output characteristics indicators. Finally, the optimization model based on hybrid positive linear programming is proposed for distributed power supply acceptance capacity evaluation of the distribution network with the objective of maximum DG access capacity and full consideration of voltage deviation, branch current, tidal current return, and other operational constraints. It is validated by IEEE 33-bus simulation. The simulation analysis shows that the proposed method can effectively quantify the DG capacity uncertainty compared with the traditional method, and the proposed method has higher computational accuracy and efficiency than the traditional method.
Optimal Configuration Model of Energy Storage System and Renewable Energy Based on a high proportion of Photovoltaic Power
Authors: Chen Jie , Li Xuxia , Jing Yongming , Zheng Xiaoming , Deng Jiaojiao , Wang Yao , Wang Kaikai , Hu Yingying 
Published: May 2023

Abstract
With the proposal of the dual-carbon target, renewable energy generation cannot meet the requirements of flexible grid dispatching as traditional power generation energy. Therefore, the proposal of storage energy has become an important development direction. This paper established an optimal configuration model which is applicable to high-proportion photovoltaic power. Then, the rationality of the scheme is evaluated through complementary effects. In the end, the feasibility of the model proposed in this paper is proved by practical cases. The results show that the model can alleviate the peak shaving task undertaken by energy storage, avoid excessive allocation, and reflect the difference in energy storage allocation in various cities.
Research on Partial Discharge Detection of Switchgear Based on Ultrasonic Signal Characteristic
Authors: Zhu Xiaofeng , Lu Lizhong , Jiang Yanjin , Liu Yongshuai 
Published: May 2023

Abstract
With the rapid development of power systems, the switchgear, which is widely used, plays an increasingly important role. Partial discharge is one of the main causes of insulation failure of the switchgear, which is a serious threat to personal and equipment safety. In this paper, the partial discharge of the switchgear is detected based on the ultrasonic method. According to the characteristics of ultrasonic waves generated by partial discharge, a partial discharge detection method for the switchgear based on the characteristics of ultrasonic wave signal is designed. The wavelet threshold denoising algorithm is used to denoise the ultrasonic signal and draw the partial discharge phase distribution map by using the characteristics of low amplitude and wide frequency distribution of the interference signal. Finally, the improved support vector machine algorithm is used to identify and diagnose four types of discharge based on 280 groups of experimental data. By adjusting the kernel function and optimizing the support vector machine algorithm, the final recognition accuracy is more than 90%.
Coordinated planning of source load storage flexible resources for photovoltaic access to power system
Authors: Hu Jiankun , Xie Wenyan , Chen Zhijian 
Published: May 2023

Abstract
A coordinated planning method of source load storage flexible resources for photovoltaic access to the power system is proposed to improve the operation stability and economy of the power system. The basic operation characteristics of PV-connected power systems are analyzed from the perspectives of power flow, voltage, and frequency. According to the analysis results, a resource coordination planning model is built to determine the cost, the lack of flexibility to adjust the cost, and other objective functions. On this basis, the corresponding constraints are proposed and solved by the ant colony algorithm to achieve flexible resource coordination planning. The experimental results show that compared with the existing methods, the proposed method has a higher confidence level of flexibility requirements, indicating that it has a higher energy storage and regulation capability.
An EHV Transformer Fault Diagnosis Method Based on Acoustic Perception and Sparse Autoencoder-BNCNN
Authors: Xu Mingkai , Lv Xuebin , Li Cong , Zhang Faye , Liu Chunming , Liu Minghui , Zhang Yilan , Jiang Mingshun 
Published: May 2023

Abstract
The EHV transformer is one of the core transmission equipment of China’s EHV/UHV transmission system, and its reliability directly affects the operational stability of the power grid. In the long-term operation process, affected by sudden short-circuit, resonance, and aging, it will produce faults such as loose winding, loose iron core, inverted discharge, and shim block shedding. Most of the methods for transformer fault diagnosis need off-line monitoring and cause some damage to transformer equipment. At present, the use of transformer acoustic signal for diagnosis and identification is in the initial stage, and there is still room for improvement in the accuracy of fault diagnosis, and how to classify the unbalanced data samples also deserves attention. Therefore, an EHV transformer fault diagnosis method based on acoustic perception and sparse autoencoder-BNCNN is proposed in this paper. Firstly, the sparse autoencoder is trained to ensure the processing ability of the network on imbalanced data. Then, the high-step CNN network is optimized using the BN layer, the data is fed into the improved CNN network for feature extraction, and the classifier outputs the fault diagnosis results. Finally, the transformer acoustic data are processed, and the dataset is formed to evaluate the performance of the proposed method. The experimental results show that the proposed method not only improves the accuracy substantially compared with other methods but also has the ability to handle imbalanced data.
Multi-objective Collaborative Optimal Dispatching Method for Active Distribution Network Based on Improved Genetic Algorithm
Authors: Lin Zhengchong , Tian Qidong , Mei Peng , Lin Zhixian , Lin Zhangsheng , Zhang Chen 
Published: May 2023

Abstract
New energy connected to the grid reduces the environmental pollution caused by the combustion of traditional fuels, so it is of great practical significance to vigorously develop renewable energy for the development of a distribution network. The system composition and operation structure of the active distribution network and the traditional distribution network are roughly the same. The main difference lies in the control mode of the two. By changing different control modes to adjust the operation mode, the main task of the active distribution network optimal dispatch is to improve its economy and power quality, but it is easy to fall into local optimum and slow convergence. In this paper, the traditional genetic algorithm is improved. The multi-objective co-generation system is mathematically modeled to construct the optimization objectives. The economic benefit of the co-generation system is maximized. The fluctuation of the output power following the load is minimized, and the requirement of carbon emission minimization is met. Through optimal control technology, the reasonable action of a variety of control equipment can be achieved. The voltage can be prevented from exceeding the limit. The multi-objective coordinated regulation ability can be improved, which is significant in practical engineering and intelligent control.
Improved double-ended traveling wave ranging technology for DC distribution cable lines
Authors: Liu Zhong , Zhang Kaixin , Zhang Junyan , Shi Shenxing , Liu Hengmen , Dong Xinzhou 
Published: May 2023

Abstract
This paper analyses the main factors affecting the accuracy of double-end traveling wave ranging for high precision fault ranging on cable lines in DC distribution networks, and points out that the double-end traveling wave method for DC segmented cables based on uniform wave velocity is the main source of fault ranging errors. Then, an improved double-end traveling wave ranging method based on the refined wave velocity of segmented cables is proposed. Based on the linear relationship between the fault traveling wave time difference and the fault location at both ends of the cable, the measured cable segmental wave velocity is used to form a ranging function to derive accurate ranging results. PSCAD simulation experiments demonstrate that the proposed method significantly improves the segmental cable fault ranging accuracy.
Power flow analysis of 110kV power supply system based on PowerWorld
Authors: Wen Huixian 
Published: May 2023

Abstract
With the growing global interest in various economic and environmental benefits of the power system, it is essential to ensure the safe and stable operation of the power grid. The optimal power flow calculation method is studied using the PowerWorld and Newton-Ralfsnn methods. The results calculated by the Simulator LP OPF function are compared with the manual calculation of the 110 kV power supply system grid. After optimization, the total cost is saved by 623.05 ¥/h. The simulation results can directly and vividly reflect the power distribution and optimize the power supply and distribution power flow.
The research on data acquisition and processing method of photovoltaic special metering protection unit based on LMS adaptive filtering
Authors: Fu Zhaohui , Chen Zhiru , Kong Hongwei , Jiang Guixiang 
Published: May 2023

Abstract
In order to solve the problem of synchronous acquisition of multi-parameter data of photovoltaic special metering protection unit and reduce the noise pollution of sensor data, this paper designs a multi-parameter data acquisition system of photovoltaic special metering protection unit; The system uses RN7326 and SWM32F103R chips as the main and auxiliary microprocessors, and designs a scheme of multi-sensor signal filtering and interface resource acquisition; The standardized data communication protocol is studied and designed to realize the synchronous data acquisition of multiple sensors; Finally, the LMS (Least mean square) based on adaptive filtering method is used to reduce the noise of multi-parameter data. In this paper, the temperature sensor pt100 is taken as an example to conduct temperature acquisition and filtering processing experiments. After data filtering, the noise above 1Hz is basically eliminated, and the noise pollution is effectively reduced when the noise amplitude is less than 1Hz, and the accuracy of sensor data is improved.
Research on the seepage mechanism and influencing law of shale oil fracturing
Authors: Zhang Yanyu , Wang Yue , Sun Xiaofei , Xu Long , Sun Yuxin , Xia Anlong , Dong Mingzhe 
Published: May 2023

Abstract
In order to clarify the characteristics of oil and water seepage during shale oil fracture, the tight reservoir in Jimsar Basin, Xinjiang Province was an example to get the characteristics of two-phase seepage between fracturing fluid and shale oil during fracture through the core experiment during injection. Effects of initial water saturation, viscosity ratio of oil to water, injection pressure, core permeability about imbibition displacement efficiency of fracturing fluid were systematically studied by using an improved one-dimensional core displacement device from Xinjiang tight sandstone artificial core under indoor conditions. The research results show that under constant pressure of 1 MPa, initial water saturation of the core is 43%, permeability is 0.12 md, and oil-water viscosity ratio between shale oil and fracturing fluid is 3:1, drive efficiency about fracturing fluid was about 23.5%. At the same time, results indicated at certain injection conditions, when initial water saturation increases, the permeability gradually decreases, and the viscosity ratio of oil to water gradually increases, the lower drive efficiency of fracturing fluid was, the worse its effect is. This conclusion could be used in the process of shale oil tight reservoirs.
Short-term Electricity Load Forecasting Based on TPE-optimized CNN-BIGRU-Attention
Authors: Wang Wenhui , Xi Caiping 
Published: May 2023

Abstract
To fully exploit the time series characteristics of the electricity load data and further improve the prediction accuracy for the intelligent dispatch of the power grid, this paper proposes a combined model of short-term electricity load forecasting based on the Bayesian optimization algorithm (TPE) optimized convolutional neural network (CNN) — bi-directional gated recurrent network (BiGRU) — Attention mechanism (Attention). First, the data are pre-processed by normalization and removal of missing values. Then, a CNN-BiGRU-Attention prediction model is built and the TPE algorithm is used to determine the hyper-parameters. Finally, the trained model is used to complete the load prediction. This paper takes a region of China’s electricity load data as an example for seasonal forecasting, and experiments show that the model in this paper has stronger adaptability and higher forecasting accuracy compared with CNN, GRU, CNN-GRU, and CNN-BiGRU networks.
A Cross-Domain Authentication and Authorization Model for New Power System Based on Trust Management
Authors: Li Wei , Xu Huiyan , Zhang Jiyu , Zhou Yandong , Wu Jiao , Li Shu 
Published: May 2023

Abstract
The access of new power service terminals brings about a new demand for cross-domain and cross-system security access. Therefore, this paper proposes a cross-domain authentication and authorization model for a new power system based on trust management, which is realized through the cooperation of certificate authority, authentication module, authorization module, and trust management module. Firstly, the model proposed in this paper includes a cross-domain authentication method, which realizes authentication between domains by issuing and verifying tokens for terminals with sufficient trust. Secondly, the model includes an authorization method based on attribute and trust value, which realizes the authorization of the terminal through attribute policy and trust evaluation. Finally, a trust value calculation method for terminal cross-domain access is included in the model. In this paper, the proposed model and method are simulated to demonstrate the correctness and effectiveness of the model. The experimental results show that the model has the advantages of universality, efficiency, and ease of management, and the terminal can access resources safely and efficiently across domains.
Cooperative Fault Ride Through Strategy for Paralleled Grid-Tied Converters
Authors: Ma Chunyan , Duan Qing , Sha Guanglin , Wang Haoqing 
Published: May 2023

Abstract
Parallel systems are the trend of the grid-tied converters, which can improve the transmission power. Under fault conditions, the operation of the converter needs to be switched safely to ensure no disconnection. The cooperation between multiple converters can better cope with fault conditions and support the grid voltage. This paper proposes a coordinated fault ride through strategy. This strategy can ensure that the converters transfer the required reactive power into the grid according to their ability, and calculates the current feasible region. The residual capacity is used to transmit photovoltaic power within the current feasible region. Thus, the converters can operate within the safety region and help to restore the grid voltage. Simulation results verify the correctness of the proposed strategy.
Current Situation Analysis for the Integration and Detection Methods of the Primary and Secondary Switch
Authors: Jin Cuicui , Yue Yang , Meng Qinglin , Zhang Chunhui , Yao Ying , Zu Guoqiang 
Published: May 2023

Abstract
The distribution equipment is core to intelligent distribution and directly determines the reliable operation of distribution networks. The primary and secondary integrated switchgear is an integration of the traditional primary switch, sensor, and secondary controlling terminal. It is influenced by temperature, pressure, electromagnetic interference, etc. To guarantee the quality of the primary and secondary integrated switchgear which is accessed to the power grid, the inspection outline of the primary and secondary integrated switchgear in the State Power Grid includes the structure and configuration, appearance inspection, insulation resistance test, power frequency voltage withstand test, and lightning impulse test.
Analytical Method for Nonlinear Vibration of PLL-type Grid-connected Converter
Authors: Xiong Jiawang , Ye Hua , Pei Wei , Kong Li 
Published: May 2023

Abstract
In recent years, large-scale renewable energy equipment has promoted the development of grid-connected converters. Among the existing grid-connected converters, PLL-type grid-connected converters are in an unshakable position in the business. As a key device, PLL also plays an irreplaceable role. However, due to the nonlinear characteristics of PLL itself, traditional linear methods cannot be used for more in-depth research, and the existing methods do not systematically obtain the approximate analytical solution of this kind of nonlinear model. Therefore, based on the PLL-type grid-connected converter model, this paper introduces the nonlinear vibration theory to obtain the approximate analytical solution of the model. Specifically, the dynamic model of a PLL-type grid-connected converter system is obtained through the inherent characteristics of the components. Then the normal perturbation and the averaging method are introduced to derive the approximate analytical solution of the model. Finally, the correctness of approximate analytical solutions is verified through experiments, and the application scenarios of the method are summarized.
Design of Power Grid Equipment Life Cycle Management System Based on RFID
Authors: Lei Chuanli , He Yuqing , Chen Liang 
Published: May 2023

Abstract
The conventional life cycle management system of power grid equipment has the disadvantage of time-consuming information processing when it manages a large amount of information. Therefore, the design of the power grid equipment life cycle management system based on RFID is proposed. Referring to the overall architecture of the system, the hardware equipment required by the system is defined, and the electronic tag card and information reader are designed to complete the hardware design of the system with the radio frequency identification technology RFID as the control core of the system. On the basis of the hardware, according to the basic functions of the system, the software part is designed. The design of the power grid equipment life cycle management system is realized combined with the system hardware. The application performance of the designed system is verified by the system test, and the results verify that the information processing time of the designed system in equipment management is shorter, which can effectively improve management efficiency.
Stability Constrained Two-Stage Robust Optimization Model for Microgrid Economic Dispatching
Authors: Chen Wei , Han Yuqi , Liu Fang 
Published: May 2023

Abstract
With the development of high penetration renewable energy, the power system has faced a big challenge of low inertia and weak frequency support. This paper proposed a two-stage robust mathematic optimization model with three layers to cope with the uncertainty in microgrids considering inertia and frequency constraints. The controllable generators in the microgrid were modeled, including gas turbine, energy storage, and demand response. The uncontrollable photovoltaic and wind turbine are described with an uncertainty set that can be observed by weather forecasting errors. Second, the economic dispatching model considering inertia demand constraint can reasonably arrange the startup and shutdown plan of units, decrease the frequency change rate after disturbance, and improve the inertial response ability of the system. Finally, the case study results show the effectiveness of the proposed model.
Optimization Design of Voltage Stabilization Based on Three-Phase Rectification, APF and PWM Technology and Its Application in Grid-connected Transmission
Authors: Lin Zheping 
Published: May 2023

Abstract
Aiming at the problems of voltage fluctuation and harmonics in photovoltaic grid connection, the improvement of a three-phase rectifier circuit is proposed, and the results are verified by MATLAB simulation. At the same time, this paper also puts forward the application of a three-phase four-wire three-level parallel APF structure and Three-term rectifier PWM rectification technology. By compensating harmonic current generated by APF and controlling the switching state of the inverter by PWM, the bidirectional flow of electric energy can be realized, and the harm of harmonic and voltage fluctuation of photovoltaic grid connection can be solved.