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Table of Content

    25 January 2021, Volume 43 Issue 1
    IoT and Intelligent Distribution
    Intelligent perception platform for distribution transformers and its safety architecture based on IoT
    WEI Jiadong, XU Fei, CAO Hui, MIAO Zhongjie, YE Changhui, ZHOU Niancheng
    2021, 43(1):  1-5.  doi:10.3969/j.issn.1674-1951.2021.01.001
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    To ensure the safe operation of power system,it is necessary to monitor and detect the operating states of distribution transformers.Studying the structure of intelligent perception terminals for distribution transformers based on IoT,a safe intelligent perception platform is built with blockchain technology.The platform can collect,record,process and storage operation data intelligently and upload the data to the IoT platform.The platform provides digital basis for the following information management such as transformer state analysis.

    Research of monitoring technology applied on ring network cabinet mechanical characteristics based on Internet of Things
    JIANG Yijun, WANG Liqun, MENG Haojie, PAN Huangping
    2021, 43(1):  6-11.  doi:10.3969/j.issn.1674-1951.2021.01.002
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    Ring network cabinet is an indispensable switchgear in power grid.Since ring network cabinet failure is most likely led by its mechanical characteristics,it is particularly critical to monitoring its characteristic parameters.In the study on the mechanical characteristics of a ring network cabinet,its hardware and software were analyzed,and online monitoring on the travel-time parameters,open-close time and other characteristic parameters was made,and the data were collected,uploaded and communicated based on Internet of Things technology.The experimental results show that the relative error of the data from the ring network cabinet monitoring system based on the Internet of Things is within an acceptable range,which indicates that the system can realize mechanical characteristics monitoring and fault alarm.The system is feasible.

    Research on comprehensive monitoring system for in-service states of prefabricated substations based on IoT information integration
    ZHENG Lijuan, GUO Qiang, HU Xiang, GUAN Shan, LI Jixian
    2021, 43(1):  12-18.  doi:10.3969/j.issn.1674-1951.2021.01.003
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    Since current prefabricated substations' real-time on-site monitoring function is simple, and remote operation and maintenance functions such as centralized monitoring and control are deficient,an online comprehensive monitoring system for prefabricated substations is proposed based on the information integration brought by Internet of Things.The system consists of a field layer,a platform layer and a presentation layer.The field layer takes the transformer comprehensive monitoring device as the core,which realize the data collection,analysis,display, control, alarm and other functions in its different blocks.The platform layer,as the coordinating center of the platform,consisting several micro services,achieves the collection and storage of data from the field layer and interaction with data from the presentation layer.The presentation layer which receives user requests and displays response data is the human-computer interaction interface for users.According to the practical results,the system shows excellent timeliness and intelligence in transformer monitoring.It is a flexible and economic method which effectively improves the operation and maintenance level and safety of prefabricated substations.

    Closed-loop management on line loss indicators in a transformer area based on IoT
    SU Yu, ZHOU Chuan, WANG Qianggang
    2021, 43(1):  19-23.  doi:10.3969/j.issn.1674-1951.2021.01.004
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    Internet of Things(IoT) can identify,manage,and control the connected objects.Applying this technology in line loss management and exploring new line loss management model can reduce line loss scientifically.Thus,by integrating power consumption data collection system,marketing system,marketing GIS(geographic information system)and PMS2.0 system,a reasonable interval calculation model and a qualified rate judgment model of line loss in a transformer area were studied based on IoT,and then a line loss indicator management system based on IoT was established.This system realizes closed-loop management on line loss indicators in a transformer area,and provides scientific guidance for line loss reduction and support for the personnel making on-site troubleshooting.

    Research on intelligent management system of prefabricated substation delivery test
    GUO Qiang, ZHENG Lijuan, YU Guihua, GUAN Shan
    2021, 43(1):  24-30.  doi:10.3969/j.issn.1674-1951.2021.01.005
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    To deal with the complicated test procedure,unreasonable management system and low intelligentization and automation of prefabricated substation delivery test,an intelligent management system for the test was proposed based on Internet of Things.The system is consisted of a testing layer,a management layer and a user layer.The test layer takes test terminals as the core,and realizes test plan acquisition,delivery test execution,test data analysis and test data upload by adopting modular design.The management layer,taking data center as the connecter,links all the departments relevant to the delivery test to complete the test successively through the management system.The user layer can accept users' requests,display respond data and report product problems to the data center.The engineering project shows that the system realizes intelligent and online management on prefabricated substation delivery tests,streamlines the test process,improves work efficiency,and ensures the safety and authenticity of the test data.

    Cloud in Power Grid Data Management
    Research and application on power quality monitoring and warning of intelligent power distribution network based on cloud platform
    BIAN Yang, ZHAO Qijian, HU Shuijun, XU Hua, CAO Li, ZHOU Niancheng
    2021, 43(1):  31-37.  doi:10.3969/j.issn.1674-1951.2021.01.006
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    Power quality not only affects the safe , stable and economic operation of power grid, but also directly impacts the operation of the electrical equipment on user side. Recently,the access of wind power and distributed PV to power grid strikes the power quality of the whole power grid. And with the development of high-tech industries, such as computer, power and electronics industries, a mass of users have made higher requirements on power supply quality. Monitoring and evaluation on power quality information is the prerequisite of disclosing power quality problems and improving power quality. Therefore, adopting power quality index monitoring method based on the Hidden Markov Model, an intelligent power distribution network power quality monitoring and warning system based on cloud platform is designed,to monitor and predict multiple power quality indexes. This system can help personnel to find the existing or potential problems in power quality at early stage, and provide decision basis for efficient power quality management and intelligent control.

    Research on data management of power design companies from the perspective of semantic interconnection
    YAO Haiyan, WU Jinrong, XU Hui, CUI Jindong, CUI Tianying
    2021, 43(1):  38-44.  doi:10.3969/j.issn.1674-1951.2021.01.007
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    There are vast amounts of power distribution network planning data and data to be processed, emerging with the rapid development of power grid. Analyzing the management mechanism of power distribution network planning data and the impact of semantic web on power design companies, an integrated model of power distribution network design based on semantic web was established and expounded. In the end, the future path for power design companies is proposed from the perspective of semantic interconnection, to facilitate their rapid, stable and healthy development.

    Research on power quality data management technology from the perspective of blockchain
    MIAO Yufeng, HU Xiang, ZHAO Lili, CUI Jindong, Bao Chenrui
    2021, 43(1):  45-51.  doi:10.3969/j.issn.1674-1951.2021.01.008
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    To improve the management of power quality data and explore their value in depth,a solution to the“information island”resulting from multi-source heterogeneous power quality data was proposed based on blockchain technology featured by decentralization and distributed storage. The scheme can make the data authentic and reliable. A technical framework of power quality data management was built from the perspective of blockchain based on the characteristics of blockchain technology and power quality data. The content, structure and mechanism between different levels were expounded and the processing flow of power quality data was analyzed, which can facilitate the blockchain technology application in power quality data management.

    Energy Internet Construction
    Optimized allocation of multi-energy complementary distributed energy system based on genetic algorithm
    ZHANG Wenpu, WANG Qianggang
    2021, 43(1):  52-58.  doi:10.3969/j.issn.1674-1951.2021.01.009
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    Integrating distributed energy with multi-energy complementary systems,multi-energy complementary distributed energy system(MCDES) achieves energy cascade utilization, optimized the allocation of their capacities, and realizes energy saving and pollutant reduction. Under current situation of new energies, analyzing wind power generation models, photovoltaic power generation models, gas turbine models and cooling and heating equipment models comprehensively, a user-side MCDES is set up and takes economy, environment protection and energy saving as its evaluation indicators. The capacities of the gas turbine, wind turbine and photovoltaic panel in the system are optimized by genetic algorithm. Finally, the optimization model is applied to Taixing Hongqiao Industrial Park, and its configuration with the optimal comprehensive operating indicators is obtained.

    Research on active distribution network planning and design strategy from the perspective of urban energy internet
    ZHOU Binghua, WANG Yang, LI Feng, CUI Jindong, RAN Zihan
    2021, 43(1):  59-65.  doi:10.3969/j.issn.1674-1951.2021.01.010
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    Urban energy internet links the information of power resources in network planning ,which changes the value chain of power industry. Under the new situation, the research on distribution network planning and design has become an urgent problem for the power industry. By analyzing the impact of distributed resources access, energy storage, demand response and key communication technologies of distribution network on active distribution network planning under the urban energy internet, four specific implementation strategies for the companies were put forward from the perspective of urban energy interconnection which include strengthen communication with local government,improving technology exchange between enterprises, updating enterprises' business and building an integrated value chain.The strategies ensure the orderly implementation of active distribution network planning and design.

    Big Data and Power Demand Side Management
    Study on electric vehicle demand side management based on 5G and spot pricing
    DING Yeqiang, YAO Xueheng, CHEN Xiangmin, CUI Jindong, LIU Shanshan, YAO Haiyan
    2021, 43(1):  66-70.  doi:10.3969/j.issn.1674-1951.2021.01.011
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    With the technical development of large-capacity batteries and electric vehicles, the soaring number of electric vehicles and their stochastic charging behavior greatly impact power grid. In the era of 5G,load forecast has to be more controllable and the charging data has to be more timely and reliable,to realize the spot pricing of electricity. From the perspective of demand side, the advantages and disadvantages of current charging way for electric vehicles are analyzed.Then,a spot pricing strategy is proposed,which urges users to charge orderly according to spot price fluctuation. The strategy can alleviate the contradiction between supply side and demand side of power, save energy and reduce pollution, and increase profits.

    Demand response of Chongqing power grid integrated with clean energy consumption
    FENG Li, LI Jun, LIU Bo
    2021, 43(1):  71-75.  doi:10.3969/j.issn.1674-1951.2021.01.012
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    Studying the direct connection between clean energy consumption and user-side power consumption can realizes the demand response (DR) upon clean energy consumption.Depending on the load characteristics and situation of Chongqing power grid in 2019,the practices were made on matching business type,policy mechanism and implementations with DR.With the increase of off-peak electricity transactions in the power grid and the green electricity transactions made by electric vehicles,the clean energy consumption of Chongqing was 47 GW·h,which was equivalent to 13 600 t standard coal.Meanwhile,the CO2 emissions reduced by 45 100 t.Recommendations on refining DR management,completing stimulation mechanism and other following works are proposed.

    Research on informatization of power marketing in the era of big data
    GE Yitong, XIANG Fengming, YU Guihua, CUI Jindong, LI Chenyu
    2021, 43(1):  76-82.  doi:10.3969/j.issn.1674-1951.2021.01.013
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    With the rapid development of internet and the maturity of big data technology,electric power industry is deepening its informatization construction,to expand itself in the reform brought about by data.Analyzing the status quo of informatization construction and the big data application in power marketing,the development path for electric power marketing informatization is pointed out.In this field,Hadoop platform is equipped with various functional components which can store, manage,analyze and visualize massive marketing data,then promote the power marketing efficiency and the service quality.