Table of Content

    28 December 2021, Volume 55 Issue S2 Previous Issue    Next Issue
    Construction and Application of Functional Equipment Group in Qinshan Nuclear Power Plant
    ZHONG Xiaobo, YU Long, LÜ Shun, MU Wentong, ZHU Yanfeng
    2021, 55 (S2):  1-6.  doi: 10.16183/j.cnki.jsjtu.2021.S2.001
    Abstract ( 587 )   HTML ( 380 )   PDF (910KB) ( 174 )   Save

    Functional equipment group (FEG) puts the equipment with the same isolation characteristics and functions into the same group. Through the FEG, all maintenance with the same isolation scope can be arranged in the same shutdown window, avoiding repeated shutdown and reducing the system or equipment unavailability caused by the shutdown maintenance. With the expansion of FEG in more and more power plants, Qinshan Nuclear Power Plant has also formally constructed FEG. This paper introduces the construction and application process of the FEG in Qinshan Nuclear Power Plant, explores the application of the FEG in the management promotion of nuclear power plant, and expounds the importance of the FEG on formulating long-term cycle plan, optimizing preventive maintenance, optimizing shutdown window, reducing operation burden, improving efficiency of planed work, reducing the influence of maintenance work on unit operation, and improving the reliability of the equipment. The utilization of the FEG can optimize the allocation and utilization of manpower and resources in nuclear power plants.

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    Intelligent Search Framework Technology for Power Grid Dispatching Equipment Monitoring
    ZHAI Haibao, HAN Bowen, WU Guosong
    2021, 55 (S2):  15-21.  doi: 10.16183/j.cnki.jsjtu.2021.S2.003
    Abstract ( 470 )   HTML ( 9 )   PDF (1232KB) ( 275 )   Save

    The development of power grid dispatching and monitoring business brings forward new requirements for the digitization and intelligence of dispatching systems. In combination with the power grid regulation data and business characteristics, this paper studies the intelligent search framework for power grid dispatching and monitoring, as well as the key technologies such as power domain thesaurus modeling, power feature word segmentation algorithm, multi-factor correlation sorting algorithm, power knowledge map correlation modeling, etc. The grid intelligent search application for regulation cloud is developed to realize the search of grid equipment model, equipment operation, monitoring events, and services, which can comprehensively, accurately, quickly and intelligently retrieve the monitoring and operation data of massive dispatching equipment, and provide strong support for the business management and decision-making of dispatching equipment monitoring.

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    Real-Time Risk Evaluation Method of Power System Equipment and N-m Fault Contingency Plan Generation Under Typhoon Meteorological Environment
    ZHOU Yi, QIN Kangping, SUN Jinwen, FAN Dongqi, ZHENG Yiming
    2021, 55 (S2):  22-30.  doi: 10.16183/j.cnki.jsjtu.2021.S2.004
    Abstract ( 567 )   HTML ( 5 )   PDF (12182KB) ( 506 )   Save

    In order to improve the power grid operation risk early warning and pre-control capabilities in typhoon and other disastrous climates, the historical fault features of power grid are extracted by utilizing the machine learning technology based on the meteorological environment data, geographic environment, and the status of power transmission and transformation equipment. The meteorological risk probability of digital transmission channel is quantified to realize the advanced quantitative warning of high-risk faults in the power grid under typhoon weather environment. The proposed method can genarate the current and future N-m fault handling plans based on the current power grid status and significantly enhance the timeliness and pertinence of fault prediction. This method overcomes the difficulty that the meteorological risk model needs to be continuously revised according to the actual situation, and takes into account the response of various safety automatic devices in the power grid after a high-risk equipment failure and the control measures that need to be taken. The practical application shows that this method can provide significant decision supports for risk pre-control in the power grid dispatching operation.

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    Electronic Management Technology and Application of Structured Intelligent Stability Limit
    WU Xin, SUN Hui, WANG Jin
    2021, 55 (S2):  31-36.  doi: 10.16183/j.cnki.jsjtu.2021.S2.005
    Abstract ( 490 )   HTML ( 6 )   PDF (1784KB) ( 310 )   Save

    This paper proposes an intelligent stability quota management technology based on structured rule strategy library, designs a set of automatic identification of section rules and adaptive adjustment methods of quota based on structured rule library, and constructs a section dynamic monitoring and power grid rule library with East China characteristics. Embedded in the D5000 system, it provides reliable structured process management, automatic identification of stability limit, adaptive adjustment of stability limit, and visual monitoring and analysis of out of limit section in an intuitive and concise form through unified display means, which provides a strong technical support for dispatching.

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    Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning
    WANG Xingzhi, ZHAI Haibao, YAN Yaqin, WU Qingxi
    2021, 55 (S2):  37-41.  doi: 10.16183/j.cnki.jsjtu.2021.S2.006
    Abstract ( 703 )   HTML ( 16 )   PDF (6067KB) ( 364 )   Save

    To meet the demand of scalability and decision-making foresight of the traditional dispatching automation system in the new power system, a novel pre-dispatching method of new generation dispatching and control was proposed. First, the power grid digital twin was established in the description subsystem layer, which can reflect the state of power grid primary equipment, secondary equipment, and environment. Then, in the prediction subsystem level, the deep learning models were used to learn and predict future situation or accident risk of power grid operation in power grid digital twin. Finally, the feasibility of the proposed method was verified by the implementation example of East China Grid. The application results show that the pre-dispatching method improves the efficiency of system in dealing with the operation control problems of the new power system, which also provides a useful reference for comprehensive construction, popularization, and application of new generation power systems.

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    Optimization of DFIG Comprehensive Adaptive Frequency Regulation Parameters Based on Extreme Learning Machine
    JIN Haochun, GE Minhui, XU Bo
    2021, 55 (S2):  42-50.  doi: 10.16183/j.cnki.jsjtu.2021.S2.007
    Abstract ( 489 )   HTML ( 7 )   PDF (1284KB) ( 246 )   Save

    Aiming at the problem of insufficient system frequency regulation ability caused by wind turbines connected to the grid, doubly fed induction generators (DFIG) mostly use virtual inertia and droop control to participate the frequency regualtion of the power system. However, traditional control strategies cannot fully utilize the frequency regulation capability of DFIG. In order to further improve the frequency stability of the system, the adaptive control of the virtual inertia and the droop coefficient are realized by analyzing the effects of the virtual inertia and the droop coefficient in each stage of the frequency dynamic response. Then, based on the extreme learning machine to predict the various frequency regulation index at different levels of wind speed, the objective function of the frequency regulation index is established to achieve the optimization of the comprehensive adaptive frequency regulation parameters, and the variable load shedding rate active standby control scheme adapted to the wind speed is proposed. The simulation results show the effectiveness of the method.

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    Estimation of Wind Farm Available Inertia Considering Uncertainty of Wind Speed Distribution and Unit Inertia Transformation
    GONG Weizheng, XU Ling, YAO Yin
    2021, 55 (S2):  51-59.  doi: 10.16183/j.cnki.jsjtu.2021.S2.008
    Abstract ( 450 )   HTML ( 5 )   PDF (3248KB) ( 256 )   Save

    Taking into account the wind speed distribution and correlation, the units in the field are first clustered according to the wind speed distribution, and the wind speed distribution modeling scheme is proposed for practical applications. Then, each area is selected according to the European distance. Finally, considering the uncertainty between wind speed and available inertia, neural network is used to predict the available inertia distribution of each cluster. A wind farm in China is selected as the simulation example. The simulation results show that compared with the equivalent machine method based on average wind speed, the prediction accuracy of the proposed method in the low wind speed range is significantly improved, and the calculation efficiency of the proposed algorithm based on the clustered central unit is higher.

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    Internet of Things Information Gathering of Substation Based on ESP-Mesh Network
    NI Yangdan, LU Dongqi, YU Qian, XU Yizhou, XIE Nina
    2021, 55 (S2):  60-63.  doi: 10.16183/j.cnki.jsjtu.2021.S2.009
    Abstract ( 517 )   HTML ( 7 )   PDF (586KB) ( 392 )   Save

    With the construction of the national smart grid, there are more and more sensors in substations, and due to the large area of substations, how to unify the management, monitoring, and maintenance of substation devices has become an urgent need. Wireless mesh network has the ability of self-organization of network and self-healing, and can independently control each node to meet the above requirements. In this paper, ESP32 was used as the hardware node module, and its own WIFI module was used to configure and network the Mesh network. The connection and communication between the sensors and ESP32, the data transfer from lower computer, and the data analysis and database saving operations from upper computer were realized. In addition, a complete Mesh network framework was established. The test results show that the system has a simple and clear structure, quick deployment, easy maintenance, which basically meets the implementation of the Internet of things (IoT) in a substation environment.

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    Green Certificate Transaction of Electric Vehicle Based on Blockchain Technology
    HU Chunyang, WU Xin, ZHOU Feng
    2021, 55 (S2):  64-71.  doi: 10.16183/j.cnki.jsjtu.2021.S2.010
    Abstract ( 588 )   HTML ( 4 )   PDF (1281KB) ( 278 )   Save

    Green certificate, as a new energy power clean attribute of the economic value of measurement currency, can reduce the burden of renewable energy power subsidies for the government. As a large-scale schedulable load, electric vehicles (EVs) have the obligation to purchase green certificates. The two sides of green certificate transaction take advantage of the decentralization of blockchain platform to conduct transactions directly. Aimed at the highest revenue of new energy power producer and the lowest cost of EV aggregator, and considering the influence of supply-demand of green certificate on green certificate price and new energy price, the green certificate transaction and the charging scheduling strategy of EV were solved. The power generation and benefits of new energy power producers with and without green certificate transaction of EVs were compared. The results show that the participation of EVs in green certificate transaction can effectively increase the capacity of new energy generating units and improve the efficiency of new energy generators.

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    Terminal Equipment Adaptive Access for Power Internet of Things
    LU Dongqi, ZHANG Qian, XU Yizhou, BAO Jieli, LUO Fen
    2021, 55 (S2):  72-76.  doi: 10.16183/j.cnki.jsjtu.2021.S2.011
    Abstract ( 578 )   HTML ( 7 )   PDF (856KB) ( 441 )   Save

    In order to build a digital platform for power grid, it is necessary to expedite the construction of information collection, processing and the other links, improve holographic perception ability, support multiple intelligent applications, and maximize the data value of the power Internet of Things (IoT). There are problems in massive perception layer terminals, such as different types, diverse communication modes, vertical business deployment, independent platform systems, and information collection barriers. The lack of unified standards and specifications makes it difficult to promote the construction progress of the IoT. It is, therefore, urgent and important to find a unified and universal power IoT adaptation access method to obtain a flexible, standardized, and safe access for all IoT terminals based on maximum utilization of the equipment and protection of the investment.

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    Network Security Inference Method Based on Dempster-Shafer Theory
    WU Nan, CHENG Zhetao, DU Liang, SHEN Yingping
    2021, 55 (S2):  77-81.  doi: 10.16183/j.cnki.jsjtu.2021.S2.012
    Abstract ( 431 )   HTML ( 3 )   PDF (939KB) ( 250 )   Save

    The network environment of the edge layer of the Internet of Things in power systems (IOTIPS) is complex in an open environment, and the security threats are diverse and dynamic. It is difficult for the traditional network security system based on firewall to effectively deal with the emerging security problems of the IOTIPS. This paper uses the data-driven idea to dynamically judge the network behavior of edge devices. Based on the characteristics of the IOTIPS, by using the three dimensions of network log, domain name generated by domain generation algorithm, and network traffic as criteria, a basic probability assignment method based on confusion matrix is proposed. Multi-source information fusion is performed by using the Dempster-Shafer theory, and the network security of IOTIPS is distinguished.

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    A Design Method of File Exchange-Based Point-to-Point Ordered Reliable Data Link Service
    QIU Yinqi, FU Wenlong, PAN Cong, LU Honglin, GUI Yishu
    2021, 55 (S2):  82-85.  doi: 10.16183/j.cnki.jsjtu.2021.S2.013
    Abstract ( 356 )   HTML ( 2 )   PDF (862KB) ( 214 )   Save

    For the communication parties which only have file exchange and no other means of information exchange, this paper proposes a design method of a point-to-point ordered reliable data link layer. Control information is appended to the exchanged files to realize the basic link control function. Mechanisms of sliding window and timeout retransmission are also introduced to address the problem of disorder and even loss. Furthermore, MD5 or some other check codes are also appended to the exchanged files to achieve an efficient verification of possible damage, guaranteeing the integrity and consistency of the exchanged files. The practical application shows that ordered reliable communication link service can be realized as long as all appropriate sliding window parameters could be found, even though the communication parties only have the means of file exchanges.

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    Power Grid Dispatching Event Detection Technology Based on Semantic Feature Capture
    XU Ling, WANG Xingzhi, XIAO Linpeng
    2021, 55 (S2):  86-91.  doi: 10.16183/j.cnki.jsjtu.2021.S2.014
    Abstract ( 408 )   HTML ( 4 )   PDF (954KB) ( 191 )   Save

    The domain terms in power grid operation management documents are professional and complex. In the process of information extraction, excellent and applicable event detection methods are needed to extract event subjects. However, most of the current Chinese event detection methods use the word embedding technology to capture semantic representation, but it is difficult for these methods to capture the dependency between trigger words and other domain words in the same sentence. Based on the above situation, this paper proposes a novel hybrid representation architecture to represent the semantic and structural information of two characters and words. The model can capture rich semantic features through the semantic representation generated by the dependency parser. The experiment is based on the corpus of dispatching log, dispatching maintenance ticket, and dispatching plan. The results show that this method can significantly improve the performance of power grid dispatching text event detection.

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    Construction of a Regulation Ontology Label System for Intelligent Search of Power Grid Regulation Micro Scene
    QU Gang, XIAO Linpeng, ZHANG Liang
    2021, 55 (S2):  92-97.  doi: 10.16183/j.cnki.jsjtu.2021.S2.015
    Abstract ( 458 )   HTML ( 5 )   PDF (932KB) ( 233 )   Save

    With the rapid development of the smart grid technology and the advent of the big data era of informatization, data labels have become a new evaluation standard to measure the informatization level of the industry, which also have a great impact on the construction direction of industry informatization, automation, and intelligent system in the later stage. With the promotion of new technology, the power grid dispatching industry is also carrying out a new generation of digital reform around data and business. This paper proposes a construction method of regulation ontology label system suitable for the search application of power grid regulation micro scene, which starts with the power grid regulation micro scene, divides and automatically reorganizes the business scene of the power grid. On this basis, by creating corresponding regulatory ontology labels and corresponding label dimensions, it innovatively proposes the construction method of label library suitable for regulatory ontology, and puts forward the construction process of regulatory ontology label system with sharing, security, service, and statistics as the core. Finally, the rationality and correctness of the construction method are verified by the application of regulation ontology label system in power grid micro scene intelligent search.

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    A Simple Calibration and Verification Method for Solid-State Lidar
    YANG Yiwen, HE Yuesheng, WANG Chunxiang, YANG Ming
    2021, 55 (S2):  98-102.  doi: 10.16183/j.cnki.jsjtu.2021.S2.016
    Abstract ( 708 )   HTML ( 12 )   PDF (4901KB) ( 570 )   Save

    In order to solve the problem of cumbersome external parameter calibration of solid-state lidar and overcome the difficulty in verifying its calibration results, a simple calibration and verification method for solid-state lidar is proposed. This method designs a simple calibration field and markers, uses the markers to complete the angle calibration of the lidar, and completes the distance calibration of the lidar by using the surveying method, so as to reduce the correlation of the external parameters of the angle and the distance, and to ensure the accuracy of the calibration result. Finally, the error of external parameter is obtained through comparison and calculation, and the calibration result of the lidar is verified. The experimental results show that the method proposed is reasonable and effective, and greatly reduces the equipment preparation time and cost required for lidar calibration and verification results, which has a certain application value.

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    Research and Application of Key Technologies of Network Security Situation Awareness for Smart Grid Power Control Systems
    ZHANG Liang, QU Gang, LI Huixing, JIN Haochun
    2021, 55 (S2):  103-109.  doi: 10.16183/j.cnki.jsjtu.2021.S2.017
    Abstract ( 1232 )   HTML ( 23 )   PDF (9257KB) ( 875 )   Save

    The network security situational awareness (NSSA) technology, which can perceive the potential network security risks globally and dynamically, is receiving more and more attention.With the help of machine learning, artificial intelligence, big data, and the other technologies, the network security situation awareness solution of power control system can learn from the process of the long-term and massive network security situation data, gain insight into the internal logical relationship implied in the data, and realize the abnormal behavior identification, intrusion intention understanding, and impact assessment of various activities in the power business network. First, the basic concept and the logical block diagram of NSSA are introduced. Then, the current situation and the risk of network security of power control system are summarized. Next, aimed at these risks and deficiencies, the key technologies involved in the network security situation awareness platform from the perspective of practice are expounded, which include the multidimensional security event correlation analysis model,the abnormal traffic and abnormal behavior detection method based on “baseline learning”,the attack chain recognition model based on attack scenario,and the power remote control security technology based on “address self verification”. Finally, the situation awareness solution and its application in power monitoring systems are stated and prospected.

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    Analysis and Improvement of Dynamic Characteristics of Lift Check Valves
    JIN Ge, FAN Min, ZHOU Zhendong, TAN Yong, ZHONG Xiaobo
    2021, 55 (S2):  110-118.  doi: 10.16183/j.cnki.jsjtu.2021.S2.018
    Abstract ( 493 )   HTML ( 3 )   PDF (8701KB) ( 265 )   Save

    Aimed at the problem that lift check valves cannot fall back to the normal position, the dynamic simulation of unsteady flow in the process of opening and falling back are conducted by using PumpLinx, and the structure of the valve body is proposed and improved. The dynamic response and internal flow field distribution of the prototype and the improved check valves are obtained. The results show that the dynamic opening time and small gap falling time of the improved check valve are significantly reduced by more than 50% compared with those of the prototype. The four additional guide grooves of the improved check valve can promptly discharge the squeezed fluid from the valve core during dynamic opening, and can promptly supplement the fluid when it falls back, so that the fluid force, the pulsation, and the velocity oscillation are weakened, which can make the valve core stable without easy deflection in the dynamic process. Therefore, the check valve proposed can improve the flow stability and solve the problem that the check valve cannot fall back normally.

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