bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecast and Analysis of Regional Energy Demand Based on Grey Linear Regression Forecast Model
Authors: Zhang Mingli , Li Zhongwei , Song Kun , Guan Duojiao , Zhang Na , Ye Peng , Li Dadong , Man Linkun , Xu Xilin 
Published: February 2021

Abstract
Energy is an important material basis for guaranteeing and promoting economic growth and social development. In order to predict the future energy demand for regional energy in Liaoning Province, this paper uses the gray forecast model to make reasonable predictions on regional energy in Liaoning. This paper first establishes a gray prediction model, analyzes the applicable environment and conditions of the gray prediction model, and secondly uses the gray prediction model to predict the energy of Liaoning Province from 2010 to 2019, and compares it with the actual data and elastic coefficient method. It shows that the prediction accuracy based on the gray prediction model is significantly higher than that of the traditional elasticity coefficient prediction method, which proves the scientificity and effectiveness of the model for regional energy demand prediction. Finally, on this basis, this paper uses the grey prediction model to analyze the energy of Liaoning Province from 2020 to 2029. The method and data can provide reliable data basis for the planning of Liaoning power grid and the evolution of the future power grid.
Research on agile generation method of electromagnetic transient simulation model based on multiple information sources
Authors: Li Tao , Huang Miao , Liu Jun , Jiang Zheng , Wen Xu 
Published: February 2021

Abstract
Based on electromechanical transient simulation data, an electromagnetic transient simulation model can be quickly generated through a computer program. However, electromechanical transient data are not sufficient to describe completely the corresponding electromagnetic transient simulation model. In view of this, the paper proposes an electromagnetic transient simulation model generation method that integrates multiple information sources. First, the data characteristics of electromechanical transient simulation software PSD-BPA and electromagnetic transient simulation software PSCAD/EMTDC are introduced. Then, considering the difference between electromechanical transient and electromagnetic transient model data, a method to quickly generate PSCAD/EMTDC simulation data is established. This method is based on the electromechanical transient simulation data, and takes into account those information which is not available in the electromechanical transient data but needed in the electromagnetic transient in the conversion process, so that the converted model is more detailed and accurate. Finally, this method is used to model and analyse an actual fault. The simulation results show that the method proposed in the paper is effective and credible.
Research on active disturbance rejection control of wireless transmission system
Authors: Zhang Zixi , Xiong Hejin , Liu Yushan 
Published: February 2021

Abstract
Wireless transmission technology has attracted much attention at home and abroad in recent years. This paper studies the control of wireless transmission system to make the wireless transmission system have better control response. In this paper, the LCL type electric field coupled wireless power transfer (ECPT) system under three operation modes of open-loop, PID control and active disturbance rejection control (ADRC) is simulated and modeled, and the voltage output waveform of the system under the three operation modes without interference, white noise, pulse interference and change of its own parameters is analyzed. The voltage amplitude difference of LCL ECPT system under ADRC control is less than 50% of PID control, and the recovery speed is more than 1.2 times of PID control. When the system parameters change, the amplitude fluctuation of ADRC is only 8.2% of PID control. The ECPT system with ADRC control has better anti-interference, robustness and response speed.
Fast Multi-Period Security-Constrained Economic Dispatch Based on Deep Neural Networks
Authors: Yang Yan , Du Sijun , Zhu Zhengchun , Xiang Mingxu , Yu Juan 
Published: February 2021

Abstract
Security-constrained economic dispatch (SCED) is one of the most important daily tasks for operators. The scale of security constraints is huge for practically-sized power systems, which makes the SCED difficult or even impossible to be solved. Whereby, the number of active security constraints is relatively small. By eliminating the inactive security constraints, the complexity of SCED can be significantly reduced. Focusing on it, this paper proposes an intelligent framework to accelerate the calculation of SCED without any loss of accuracy. The proposed framework uses a deep neural network (DNN) to reduce the online computational cost significantly by shifting the heavy computation into offline training. More specifically, a DNN is used to extract the feature of SCED, which can effectively pre-identify the active constraints of SCED model. Moreover, an efficient lightweight learning strategy is presented to improve the learning efficiency of the DNN by the feature selection and feature decomposition. The effectiveness of the proposed method is demonstrated in modified IEEE benchmark systems.
Integrated energy system reliability evaluation based on sequential Monte Carlo simulation and fault recovery optimization
Authors: Cui Yanyan , Liu Wei , Su Jian , Yan Tao , Zhang Xianliang , Li Jia , Zhang Lu 
Published: February 2021

Abstract
In this paper, an integrated energy system (IES) reliability assessment method based on sequential Monte Carlo simulation and fault recovery optimization is proposed considering the flexibility of dispatch and the complementary of multi-energy in IES. The reliability evaluation indices of IES are established considering the energy supply and thermal load delay characteristics. An IES failure recovery optimization model is established in which the shutdown loss and the minimum operating cost under the failure scenario are considered comprehensively. CPLEX software is applied to solve the proposed problem in order to obtain the electric and thermal load reduction power and component equipment output. Based on the principle of sequential Monte Carlo simulation, an IES reliability assessment method and process are designed. The analysis of calculation examples shows that the use of failure recovery optimization strategies and consideration of thermal load delay characteristics can effectively improve the reliability of IES.
Functional safety research of battery management system based on risk graph methods
Authors: Chen Mingsheng , Xie Guiting , Ming Zhimao , Liu Guixiong , Li Wei 
Published: February 2021

Abstract
In order to clarify the functional safety integrity hierarchy of the battery management system, this paper uses risk map analysis to qualify the battery management system failure event of an alarm device. The relationship among six risk parameters and four levels of safety integrity are built through specific risk. Thirteen contents are detailed and in according to four risk parameters. The results show that the functional safety outcomes of the battery management system can be classified into seven categories, and safety integrity was determined to be level I using the ten mapped paths in the risk map.
Research on Intelligent Evaluation and Monitoring Method for Cost of Transmission and Transformation Project
Authors: Zhang Xuefei , Yang Lin , Zhang L , Ye J , Zhang C , Zhao D Y 
Published: February 2021

Abstract
With the advancement of fine-grained management of transmission and transformation projects, the construction of an intelligent learning model for the assessment of cost levels is a prerequisite for the implementation of asset management of transmission and transformation projects. To this end, an intelligent assessment and monitoring method for the cost level of transmission and transformation projects is studied. In view of the high-dimensional small sample characteristics of transmission and transformation project cost data, this method constructs cost level evaluation indicators and monitoring error indicators, and proposes a random bit random forest-based transmission and transformation project cost data feature selection method. Based on this, an umbrella-type evaluation monitor was used to build a transmission and transformation project cost level evaluation and online monitoring model. The validity of the algorithm is verified with the actual substation project cost data of a province. The results show that the method proposed in this paper has good feature stability and evaluation accuracy, and can realize online dynamic monitoring of the transmission and substation project cost level.
Attack path analysis of power monitoring system based on attack graph
Authors: Zhang Xiaojian , Wang Qi , Wang Xiangqun , Zhang Run 
Published: February 2021

Abstract
Power monitoring system, as the key to ensure the normal operation of power, is facing huge security threats. The existing protection measures for power monitoring systems mostly start from the aspect of early warning, instead of actual penetration testing of the power monitoring system. To solve this problem, a path analysis method of power monitoring system based on attack graph is proposed to simulate the security test of power monitoring system. In the aspect of route selection, this project quantifies the attack benefits and attack costs to obtain the attack efficiency on each path, and then applies the ant colony algorithm with high efficiency to select the attack path.
Research and Implementation of Automatic Configuration Method for Monitoring Information Table of Smart Substation Equipment
Authors: Jiang Yabin , Qi Jiaen , Chen Yuhong , Liang Yantao , Li Wei , Zhang Fuping , Hu Jiajia 
Published: February 2021

Abstract
Aiming at the problems of low efficiency and difficult configuration of equipment monitoring information in smart substation, an automatic generation method of substation monitoring information table is proposed. By analyzing the configuration file of smart substation, the information of primary and secondary equipment is obtained, and the full model of equipment monitoring information table can be established automatically. According to the classification characteristics of the standard monitoring template, the equipment monitoring information table is automatically generated by association mapping with the monitoring template.
The automatic phase-selective photovoltaic grid-connection system used to control three-phase imbalance of low voltage power grid
Authors: Yi-wen Peng , Si-tong Zhu , Yi-lin Miao , Xinyao Wang , Li-di Wang 
Published: February 2021

Abstract
Three-phase balance degree is an important quality index of power grid operation. Excessive three-phase imbalance will bring serious harm to power grid. To solve the problem of three-phase unbalance of low voltage power grid, this paper proposes and implements a automatic distributed photovoltaic phase-selective grid-connection system based on PLC control. The main functions include: photovoltaic automatic phase-selective grid connection, realization of three-phase unbalanced treatment of low-voltage power grid, low voltage and over voltage treatment of power grid. The main structure includes: monitoring & execution unit, logic control unit and photovoltaic power generation unit. Based on the voltage and load of each phase of the power grid, photovoltaic power generation module can realize automatic phase-selective grid-connection, so as to improve the three-phase imbalance of low-voltage power grid, solve both low voltage and over voltage problems, and realize the comprehensive control of voltage level of low-voltage power grid.
Optimal multi-time scale coordination method for electricity-heating integrated energy system scheduling
Authors: Lin Zhuoran , Wang Shouxiang , Wang Shaomin , Han Aoyang 
Published: February 2021

Abstract
Considering that different energy subsystems have different control characteristics in equipment operations, an optimal multi-time scale coordination method for electricity-heating integrated system scheduling is proposed. It merges three optimal scheduling models based on three-time scales of day-ahead, rolling, and real-time. The coordinated optimization of electricity and heating energies with the same dispatch instruction is fulfilled in day-ahead scheduling. And all feasible scheduling instruction cycles are traversed in the rolling stage to improve the stability of system economic operation. The calculation examples show that the proposed overall strategy for multi-time scale scheduling can achieve multi-energy complementarity, and the optimization results have less deviation from the actual load.
Research on Security Control Scheme of Power Distribution Internet of Things
Authors: Gao Ranxin , Sun Yue , Li Min 
Published: February 2021

Abstract
With the rapid development of the Internet, the process of Power Distribution Internet of Things has been pushed continuously. At present, the number of IoT terminals has increased sharply, and the types are also diverse. Meanwhile, the requirements for the communication timeliness and transmission safety between distribution networks are increasing. The current traditional distribution network structure is unable to properly manage the new terminals. As an emerging technology for information security protection, trusted computing can guarantee a safe and reliable operating environment and management mechanism in the power distribution IoT. Through the optimization of the hierarchical structure of the distribution network and the use of binary trusted security control model, we can build the hierarchical control structure model of the power distribution IoT. It makes the security level of the system has been greatly improved.
Distribution Network Electrical Topology Identification Algorithm Based on Deep Learning
Authors: Qu Ming , Wang Tao , Li Fangshuo , Liu Lina , Li Qilin , Long Hailian , Zhang Yuhang , Xu Jie 
Published: February 2021

Abstract
With the rapid development of smart grids, power data can be collected online and increase in a large amount. Data problems such as missing data, abnormal data have become more and more prominent. Electrical topology is the basis for the implementation of the distribution network. The further development of the smart grid makes new requirements for the accuracy of the electrical topology identification algorithm. Deep learning relies on a large number of data inputs for feature extraction, and shows great tolerance for data missing and fluctuations. This paper proposes a two-channel 1DCNN (One-Dimensional Convolutional Neural Network) model for the electrical topology identification. In this model, voltage and current data are respectively input in each channel for feature extraction with a two-layer stacked CNN. And BN (Batch Normalization) layer and ReLU (Rectified Linear Unit) are added behind each CNN to help convergence. The experiment results show that the proposed model has good accuracy in electrical topology identification.
A Brief Discussion on the Overall Design of High Voltage Intelligent Reactive Power Compensation
Authors: Wu Shitao , Yu Ruirui , Wang Yifan , Wang Dishun , Liu Bo 
Published: February 2021

Abstract
Reactive power compensation can not only improve the voltage quality and the stability of the whole system, but also reduce the loss and improve the economic benefits. With the rapid development of social economy, people put forward higher requirements for the safety, stability and intelligence of power grid operation. At present, there are still some problems in the application of reactive power compensation devices in China’s high voltage distribution network. In this paper, the high voltage intelligent reactive power compensation device is designed from many aspects, and the feasibility analysis is carried out, which provides certain reference for reactive power compensation of high voltage system.
Power Line Communication Challenges in the Energy Internet
Authors: Hao Yan , Zhou Chunliang , Zhang Xudong , Zhao Dongyan , Li Fei , Wang Hongxi 
Published: February 2021

Abstract
Energy Internet is a new hot topic in the research of industry and academia at home and abroad. It is also the development direction of the energy industry, and it is possible to innovate the way of human life. The paper summarized the concept and connotation by surveying the domestic and international development of the Internet of Energy. The information technology architecture of the Internet of Energy is reviewed from the perspective of the integration of energy system and information technology. This article described the characteristics of power line carrier communication, and analyzed the role and status of power line carrier communication technology in the Internet of Energy. The challenges and opportunities that power line carrier communication faces in the Internet of Energy are analyzed. In the end, this paper discussed the future development of Internet of Energy. Through the “Internet +”technology though, it will integrate advanced information technology and energy systems, coordinate multi-energy networks, innovate energy system operation modes, promote industrial upgrading, and generate new economic growth points.
A Two-layer Multistage Expansion Planning Method for Adaptability Enhancement of Distribution Networks
Authors: Feng Liang , Dong Yichao , Wang Shouxiang , Jian Qingzhi , Zhao Long , Liu Rui , Yang Yang 
Published: February 2021

Abstract
With the increasing penetration of distributed generations (DGs) and flexible loads in the distribution network (DN), the existing DN planning methods need an improvement. This paper proposes a two-layer multistage expansion planning method for DN adaptability enhancement, where the optimal construction/upgrade strategy of substations and lines along with the optimal PV configuration strategy are considered. A two-layer adaptive planning model is established and solved by the non-dominated sorting genetic algorithm II (NSGA II). The obtained Pareto-optimal front represents a set of optimal planning schemes meeting the demand of DN economy and adaptability, which is of great significance in theory and practice.
Research on RFID Security Evaluation Method in smart meter
Authors: Wang Rui , Gong Qiujing , Zhen Ke , Hou Xing Zhe , He Min , Wang Ling Yu 
Published: February 2021

Abstract
People pay more attention to the security of RFID of smart meter, this paper establishes the evaluation index framework of RFID security. Then according to these indexes for the evaluation of the RFID system security which is based on fuzzy synthetic evaluation model, all of this is to evaluate the security of RFID system.
Research and Application of Visual Monitoring Technology of Protective Equipment Based on Virtual Model
Authors: Jun Tao , Ming Zhong , Jiangping Wang , Zhihua Wang , Yurong Mao 
Published: February 2021

Abstract
Aiming at the problem of heavy workload and tight time for daily operation and maintenance of smart substations, a visual monitoring technology for smart substation protection equipment based on virtual models is proposed, and a visual monitoring system for protection equipment is established. The article establishes the virtual model of the protection equipment panel, configures the association relationship between the graphic elements in the virtual model and the data set entries of the protection device and the optical fiber link, and establishes the logical operation model of the graphic elements.The visual monitoring system for protection equipment collects the data set entries of the protection equipment and the status values of the optical fiber link data set entries, simultaneously display the status of the primitives in the virtual model of the protection device panel according to the status value of the data set entry of the protection device. The visual monitoring system of intelligent substation protection equipment is applied on-site to verify the effectiveness of the technology.
Fault Location Technology of Transmission Line based on Asynchronous Phasor Measurement from PMUs
Authors: Xiaotao Che , Hangli Jian , Qian Sun , Dong Shang , Wujun Huangfu , Shihui Yang , Weimin Liu , Yalin Li , De Shang , Jiang Li 
Published: February 2021

Abstract
With the continuous expansion of the scale of the modern power system, when the fault occurs at transmission networks, it will have a serious impact on the economy and people’s life. In this paper, a fault location method based on synchronous phasor measurement from the phasor measurement unit (PMU) is proposed in transmission networks. Firstly, the real-time synchronous voltage and current phasors of the transmission lines are measured by the PMU at two buses. Then, the characteristic impedance and propagation coefficient of the line is calculated according to the measurement phasors, and the fault point voltage is listed at both ends of the line. Finally, the fault distance is obtained by solving the complex equation under fault condition at both ends to realize the fault location of transmission networks without branches. Compared with the single-terminal fault location method, the proposed method can eliminate the errors caused by various factors, such as the uneven distribution of capacitance and the uncertain transition resistance. At the same time, this paper uses PSACD software to build a model to verify the effectiveness and superiority of the method.
An efficient vulnerability scanning scheme of smart power grid based on hybrid scanning method
Authors: Wang Qi , Zhang Xiaojian , Yao Qigui 
Published: February 2021

Abstract
As one kind of the industrial control networks, the increasing complexity of the advancing smart grid makes the network security risks greatly increased. Thus, it is necessary to ensure the safety of system. This paper proposed an efficient and low-cost comprehensive vulnerability scanning scheme. Considering the idea of non-intrusive detection without additional flow, the passive detection is proposed associated with PROFINET real-time protocol used in ICS. To reduce the redundant and save resource, fusion detection and connectionless detection are suggested separately adapted to Modbus TCP of ICS which utilizes TCP/IP model. Then passive detection and two activate detections are adopted at different frequencies. The analysis results show that the proposed technique has higher efficiency, lower cost and improves the scanning concealment.
IOC Strategy After Coronavirus and Suggestions for Chinese Oil Companies
Authors: Jia Li , Yun Peng , Xiuling Yin , Xiaowei Song 
Published: February 2021

Abstract
Affected by Coronavirus and low oil price, global oil and gas M&A has been in a downturn in 2020. Countries with oil and gas resource intended to revise fiscal terms, enhancing the economics of producing assets and new developments. Many oil companies have faced severe challenges with impact on Coronavirus and oil price crash. According to IHS expectation, the same tightness will continue into 2021. Learned from international oil companies experience, Chinese oil companies should pay more attention to cost reduction, seize opportunities of the M&A market to get high quality projects, and focus more on energy transition.
Analysis of The Projectile Motion was Blocked in Gun Bore
Authors: Guo Zhaowei 
Published: February 2021

Abstract
To learn the security of projectile was blocked when high-speed movement in gun bore, interior pressure and the movement of projectile were calculated and analyzed under different postulated conditions. Through the analysis of the change in interior pressure after the projectile, the character of projectile was restricted in gun bore during movement and the pressure on both barrel and projectile, also by these to check security in the design of barrel and projectile, and identified the matching problems which needed careful attention in the design processes of both gun and ammunition.