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    Power Systems and Big Data

    Power Systems and Big Data

    JournalISSN 2096-4633

    年发文量

    研究主题

    论文(3820)

    排序
    1Risk Assessment of Power System Network Security Based on RBF Neural Network

    In order to improve the accuracy and efficiency of power system network security risk assessment,this paper proposes a method of power system network security risk assessment based on RBF neural network.Firstly,establish a security risk assessment index system,and combine it with the risk assessment matrix.By calculating the information entropy of the index,the risk level of the evaluation index is determined and divided into five risk levels.Finally,the network security risk distribution fusion eigenvalues are calculated and input,and based on the network security risk assessment results of power system,RBF neural network is used to construct the network security risk assessment model of power system.Experiments have shown that the method achieves the desired goal,96%accuracy in the assessment of the highest security risk,and 98%efficiency in the assessment.

    2024
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    2CPEM第4届电力人工智能大会暨第2届电力行业数字化转型大会、PD2023全国配电数字化技改大会在贵阳召开

    2023年11月2日至3日,"CPEM第4届电力人工智能大会暨第2届电力行业数字化转型大会、PD2023全国配电数字化技改大会"在贵州省贵阳市召开. 大会由CPEM全国电力设备管理网、国家能源智能电网(上海)研发中心、复杂能源系统智能计算教育部工程研究中心、中国电子劳动学会双碳和能源创新工作委员会、中国人工智能学会智慧能源专业委员会、《电力大数据》期刊、人工智能生态产业协作平台、青岛鼎信通讯股份有限公司联合主办,国电南瑞科技股份有限公司、南京国电南自电网自动化有限公司支持,《中国电力》杂志社提供学术支持,数智云(无锡)工业科技有限公司、上海共燊新科技有限公司、无锡共燊会展服务有限公司承办.

    2023
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    3Architecture Design of Digitalization Platform for Power Grid Standards
    CHEN Jiasheng,HUANG Junkai,FAN Qiang,LYU Qiansu,ZHAO Chao,XIAO Shuzhou, LI Changxing

    The digital transformation of the power grid aims to achieve the sharing,collaboration,and transmission of data,knowledge,and information across all aspects,breaking down boundaries between departments,humans and machines,as well as management and control.This ultimately maximizes the efficiency of standardized processes under comprehensive global coordination.This paper primarily discusses three fundamental objectives in the construction of a digitalization platform for power grid standards:unifying and standardizing data sources,reshaping and optimizing standard business processes,and promoting visualized embedded applications and efficiency assessment of standards.Through analysis in four aspects:business architecture design,application architecture design,data architecture design,and technology architecture design,a digitalization platform for power grid standards is constructed,enabling collaborative management of standards throughout their lifecycle,efficient retrieval of standard content information,interactive online editing and reading of standards,and laying the foundation for the efficient operation of asset lifecycle management and end-to-end business processes in the future.

    2023
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    4Capacity Optimization and Configuration of Independent Microgrids Based on Typical Meteorological Years and Time-Shiftable Oxygen-Dependent Loads
    ZHANG Changyun, RAN Tao, LI Zhangrong,FAN Chongliang, XIA Taipeng, YANG Ziwei, DING Weijian

    The optimization and configuration of power capacity in microgrids are crucial initial steps in microgrid planning and construction.This process requires rational allocation of power sources within the microgrid,considering meteorological data,geographic location,and load demands while meeting economic and reliability constraints.This paper focuses on an independent microgrid in a plateau region and proposes an optimization method for configuring power capacity based on typical meteorological years and time-shiftable oxygen-dependent loads.The algorithm takes into account various constraints,including the ratio of installed renewable energy capacity,power supply reliability,and oxygen supply reliability.The objective is to minimize the annual average cost over the microgrid's entire lifecycle,and a genetic algorithm is used to solve this optimization model.The paper analyzes the results of different configurations and validates the feasibility of the proposed method.This research provides guidance for the planning and construction of independent microgrids,contributing to efficient energy utilization,cost-effectiveness,and improved reliability of power and oxygen supply.

    2023
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    5Low-Voltage AC/DC Transformation Demonstration Project for Improving Voltage Quality of Rural Power Grid in Mountainous Areas and Its Eeffectiveness Analysis
    WANG Feng,CAI Yongxiang,XIONG Nan,WEN Xiankui,ZHOU Niancheng

    With the rapid growth of industrial and residential electricity consumption in rural and mountainous areas,under-voltage issues are becoming significant and particularly prominent in some periods due to seasonal load and population migration.It is extremely difficult to achieve a balance between input and benefit when considering adopting traditional transformation measures to solve the above problems.Therefore,two types of grid transformation measures,AC-DC series/parallel connection,are proposed to solve under-voltage issues owing to excessive power supply distance.Firstly,this paper introduces basic situations of two low-voltage distribution networks(LVDNs)before the two-type transformations,and analyzes the problems of the traditional transformation measures.Secondly,the two-type transformations of AC-DC series/parallel connection are introduced in detail from three aspects:construction scheme,converter equipment and equipment installation.Moreover,the effectiveness of the AC-DC series/parallel connection schemes is verified by analyzing the laboratory test data and applications,and the advantages and disadvantages of the two types of transformations are analyzed.Finally,the effects of the the two types of transformations and the future development direction are summarized.

    2023
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    高被引作者

    作者引用发文
    Chao Yang1677
    Bo Xia1032
    Chong LI951
    XueRu Liu883
    Shoulei Zhang882
    Xu Zhang883
    Jian Shi5212
    YuTao Xu5124
    Qiang Yang4710
    Qiang Zhang462

    高产作者

    作者引用发文
    YuTao Xu5124
    Xufeng Yuan4324
    HuaRong Ceng2623
    Xiaohong Ma3323
    QianSu Lv2621
    JiaXiang Ou4218
    Jianrong Wu3118
    Junkai Huang4017
    Gang Yao3517
    Xianyin Mao2216

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