上海交通大学学报

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2024 , Vol. 58 >Issue 1: 19 - 29

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.420

新型电力系统与综合能源

基于云模型综合相似度的电力物联网关键技术综合评价

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  • 1.清华大学 电力系统及发电设备控制和仿真国家重点实验室
    2.电机工程与应用电子技术系,北京 100084
陈连福(1987-),副研究员,从事电力市场、智能电网、需求侧响应等研究.

收稿日期: 2022-10-20

  修回日期: 2022-12-09

  录用日期: 2023-02-13

  网络出版日期: 2024-01-16

基金资助

国家重点研发计划“电力物联网关键技术”(2020YFB0905900)

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Comprehensive Evaluation of Key Technologies in Power Internet of Things Based on Comprehensive Similarity of Cloud Model

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  • 1. State Key Laboratory of Control and Simulation of Power System and Generation Equipment
    2. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China

Received date: 2022-10-20

  Revised date: 2022-12-09

  Accepted date: 2023-02-13

  Online published: 2024-01-16

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摘要

目前电力物联网关键技术应用的综合评价具有单评价对象的特点,传统评价方法无法适用.为全面评价电力物联网项目建设水平和运营成效,在综合考量电力物联网不同建设和运营阶段及其关键要素基础上,建立电力物联网关键技术综合评价指标体系,根据其单评价对象场景的特点,提出基于云模型综合相似度的评价模型.通过对逼近理想解排序方法的改造构建单评价对象的决策矩阵,提出以兼顾云模型的形状-距离综合相似度为度量,表征逼近理想解排序方法的相对贴近度,进而实现对单评价对象的精准评价.应用所提方法综合评价某电力物联网示范工程,验证了所提综合评价体系和评价方法的客观性与全面性.

关键词： 电力物联网; 指标体系; 云模型; 云模型相似度; 逼近理想解排序方法

本文引用格式

陈连福, 钟海旺, 谭振飞, 阮广春 . 基于云模型综合相似度的电力物联网关键技术综合评价[J]. 上海交通大学学报, 2024 , 58(1) : 19 -29 . DOI: 10.16183/j.cnki.jsjtu.2022.420

Abstract

Currently, the comprehensive evaluation of the application of key technologies in the power Internet of Things (PIoT) has the characteristics of a single evaluation object, and the traditional evaluation methods are not applicable. In order to comprehensively evaluate the technology maturity and operational effectiveness of PIoT projects, a comprehensive evaluation index for key technologies in PIoT is established to comprehensively consider the different development stages. According to the characteristics of application scenario, an evaluation model based on the comprehensive similarity of cloud model is proposed. By reforming the technique for order preference by similarity to an ideal solution (TOPSIS) method, a decision matrix for a single evaluation object is constructed, and the shape-distance comprehensive similarity of the cloud model is used as a measure to characterize the relative closeness of the TOPSIS method, and the accurate evaluation of a single object is realized. Finally, the proposed method is applied to assess a PIoT demonstration project. The results show that the proposed comprehensive evaluation index and evaluation method can objectively and comprehensively evaluate the comprehensive application effect of each key technology in the construction and operation stages of PIoT.

Key words： power Internet of Things (PIoT); index system; cloud model; cloud model similarity; technique for order preference by similarity to an ideal solution (TOPSIS)

参考文献

[1] 国家电网有限公司. 国家电网公司能源互联网规划[EB/OL].(2021-04-27)[2022-10-10]. http://www.cpnn.com.cn/news/yaowen/202104/t20210427_1375907_wap.html.
[1] State Grid Corporation of China. Energy internet planning of state grid corporation of China[EB/OL]. (2021-04-27)[2022-10-10]. http://www.cpnn.com.cn/news/yaowen/202104/t20210427_1375907_wap.html.
[2] 何奉禄, 陈佳琦, 李钦豪, 等. 智能电网中的物联网技术应用与发展[J]. 电力系统保护与控制, 2020, 48(3): 58-69.
[2] HE Fenglu, CHEN Jiaqi, LI Qinhao, et al. Application and development of internet of things in smart grid[J]. Power System Protection and Control, 2020, 48(3): 58-69.
[3] 汪洋, 苏斌, 赵宏波. 电力物联网的理念和发展趋势[J]. 电信科学, 2010, 26(Sup.3): 9-14.
[3] WANG Yang, SU Bin, ZHAO Hongbo. The concept and development trend of electric power Internet of things[J]. Telecommunications Science, 2010, 26(Sup.3): 9-14.
[4] 马薇. 世界物联网标准“中国造”: 访国家物联网基础标准工作组总体组组长沈杰博士[N]. 新华日报, 2018-08-13(5).
[4] MA Wei. World Internet of Things standards “Made in China”—Interview with Dr. Shen Jie, head of the national Internet of Things basic standards working group[N]. Xinhua Daily, 2018-08-13 (5).
[5] BEDI G, VENAYAGAMOORTHY G K, SINGH R, et al. Review of Internet of Things (IoT) in electric power and energy systems[J]. IEEE Internet of Things Journal, 2018, 5(2): 847-870.
[6] 何永贵, 刘江. 基于组合赋权-云模型的电力物联网安全风险评估[J]. 电网技术, 2020, 44(11): 4302-4309.
[6] HE Yonggui, LIU Jiang. Electric Internet of Things security risk assessment based on combined weighting-cloud model[J]. Power System Technology, 2020, 44(11): 4302-4309.
[7] 翟峰, 冯云, 程凯, 等. 基于信息熵的多源电力物联终端设备信任度评价方法[J]. 中国电力, 2022, 55(5): 158-165.
[7] ZHAI Feng, FENG Yun, CHENG Kai, et al. Information entropy based multi-source power IoT terminal equipment trust degree evaluation method[J]. Electric Power, 2022, 55(5): 158-165.
[8] 张东东, 郑波, 吴月超, 等. 电力物联网大数据质量智能评价技术与实现[J]. 通信电源技术, 2020, 37(4): 46-47.
[8] ZHANG Dongdong, ZHENG Bo, WU Yuechao, et al. Power Internet of Things big data quality intelligent evaluation technology and implementation[J]. Telecom Power Technology, 2020, 37(4): 46-47.
[9] 王毅, 陈启鑫, 张宁, 等. 5G通信与泛在电力物联网的融合: 应用分析与研究展望[J]. 电网技术, 2019, 43(5): 1575-1585.
[9] WANG Yi, CHEN Qixin, ZHANG Ning, et al. Fusion of the 5G communication and the ubiquitous electric Internet of Things: Application analysis and research prospects[J]. Power System Technology, 2019, 43(5): 1575-1585.
[10] 周念成, 廖建权, 王强钢, 等. 深度学习在智能电网中的应用现状分析与展望[J]. 电力系统自动化, 2019, 43(4): 180-191.
[10] ZHOU Niancheng, LIAO Jianquan, WANG Qianggang, et al. Analysis and prospect of deep learning application in smart grid[J]. Automation of Electric Power Systems, 2019, 43(4): 180-191.
[11] 张继佳, 沈志宏, 蒋翊. 基于泛在电力物联网增值服务模式评价[J]. 电力需求侧管理, 2019, 21(6): 44-47.
[11] ZHANG Jijia, SHEN Zhihong, JIANG Yi. Model evaluation of value-added service based on ubiquitous power Internet of Things[J]. Power Demand Side Management, 2019, 21(6): 44-47.
[12] 张建. 电力物联网建设成效预测及评价模型研究[D]. 北京: 华北电力大学(北京), 2021.
[12] ZHANG Jian. Research on forecast and evaluation model of construction effect of electric power Internet of Things[D]. Beijing: North China Electric Power University, 2021.
[13] RUAN G C, ZHONG H W, ZHANG G L, et al. Review of learning-assisted power system optimization[J]. CSEE Journal of Power and Energy Systems, 2020, 7(2): 221-231.
[14] 张国云, 孔令号, 杨伯青, 等. 基于电力大数据模糊评价的综合能源项目挖掘优选策略[J]. 电力需求侧管理, 2021, 23(2): 85-89.
[14] ZHANG Guoyun, KONG Linghao, YANG Boqing, et al. Mining and optimal selection strategy of integrated energy project based on fuzzy evaluation of power big data[J]. Power Demand Side Management, 2021, 23(2): 85-89.
[15] 李刚, 焦亚菲, 刘福炎, 等. 联合采用熵权和灰色系统理论的电力大数据质量综合评估[J]. 电力建设, 2016, 37(12): 24-31.
[15] LI Gang, JIAO Yafei, LIU Fuyan, et al. Comprehensive evaluation of big data quality in power systems with entropy weight and grey system theory[J]. Electric Power Construction, 2016, 37(12): 24-31.
[16] 曾鸣, 王雨晴, 闫彤, 等. 基于泛在电力物联网平台的可再生能源政策评估系统设计与模型研究[J]. 电网技术, 2019, 43(12): 4263-4273.
[16] ZENG Ming, WANG Yuqing, YAN Tong, et al. System design and model research of renewable energy policy evaluation system based on platform of ubiquitous power Internet of Things[J]. Power System Technology, 2019, 43(12): 4263-4273.
[17] 孙明, 苏毅方, 邵先军, 等. 基于数据挖掘的配电网线路台风故障影响分级评价[J]. 浙江电力, 2019, 38(10): 78-83.
[17] SUN Ming, SU Yifang, SHAO Xianjun, et al. Grading evaluation of typhoon fault impact on distribution lines based on data mining[J]. Zhejiang Electric Power, 2019, 38(10): 78-83.
[18] 汤国龙, 朱朝阳, 汪洋, 等. 电力物联网技术标准体系研究[J]. 电力信息与通信技术, 2020, 18(1): 54-59.
[18] TANG Guolong, ZHU Chaoyang, WANG Yang, et al. Studies on standard system for electric Internet of Things[J]. Electric Power Information and Communication Technology, 2020, 18(1): 54-59.
[19] 雷煜卿, 仝杰, 张树华, 等. 能源互联网感知层技术标准体系研究[J]. 供用电, 2021, 38(7): 14-20.
[19] LEI Yuqing, TONG Jie, ZHANG Shuhua, et al. Research on technical standard system of energy Internet sensing layer[J]. Distribution & Utilization, 2021, 38(7): 14-20.
[20] 李国庆, 成龙, 王振浩, 等. 电力物联网技术标准体系初探[J]. 电力自动化设备, 2021, 41(3): 1-9.
[20] LI Guoqing, CHENG Long, WANG Zhenhao, et al. Preliminary study on standard framework of Power Internet of Things[J]. Electric Power Automation Equipment, 2021, 41(3): 1-9.
[21] 杨林, 张玉英. 我国部分物联网关键技术标准体系进展[J]. 中国标准导报, 2015(4): 49-52.
[21] YANG Lin, ZHANG Yuying. Progress of some standard systems of the key technology of Internet of Things in China[J]. China Standards Review, 2015(4): 49-52.
[22] 马君华, 张东霞, 刘永东, 等. 能源互联网标准体系研究[J]. 电网技术, 2015, 39(11): 3035-3039.
[22] MA Junhua, ZHANG Dongxia, LIU Yongdong, et al. Study on standard framework of energy Internet[J]. Power System Technology, 2015, 39(11): 3035-3039.
[23] 国际电工委员会. IoT 2020: 智能安全的物联网平台(中英文版)[M]. 国家电网公司国际合作部, 全球能源互联网研究院有限公司, 南瑞集团公司, 等译. 北京: 中国电力出版社, 2018: 66-70.
[23] International Electrotechnical Commission. IoT 2020: Smart and secure IoT platform[M]. Translated by International Cooperation Department of State Grid Corporation of China, Global Energy Internet Research Institute Co., Ltd., and Nari Group, et al. Beijing: China Electric Power Press, 2018: 66-70.
[24] 朱虹, 孙广芝, 王淑敏. 传感器及传感数据分类与描述标准化研究[J]. 标准科学, 2018(12): 126-129.
[24] ZHU Hong, SUN Guangzhi, WANG Shumin. Research on classification and description standardization of sensors and sensing data[J]. Standard Science, 2018(12): 126-129.
[25] WANG J J, XIAO M, CHEN Y Q, et al. Energy efficiency optimization for ubiquitous power Internet of Things[J]. Journal of Physics: Conference Series, 2019, 1346(1): 012050.
[26] CENELEC. Communication networks and systems in substations. Specific Communication Service Mapping(SCSM)-mappings to MMS: IEC 61850-8-1[S]. Brussels, Belgium: European Committee for Electrotechnical Standardization, 2011.
[27] 卢东祁, 张乾, 徐一洲, 等. 面向电力物联网的终端设备适配接入研究[J]. 上海交通大学学报, 2021, 55(Sup.2): 72-76.
[27] LU Dongqi, ZHANG Qian, XU Yizhou, et al. Terminal equipment adaptive access for power Internet of Things[J]. Journal of Shanghai Jiao Tong University, 2021, 55(Sup.2): 72-76.
[28] NIU X D, SHAO S J, XIN C, et al. Workload allocation mechanism for minimum service delay in edge computing-based power Internet of Things[J]. IEEE Access, 2019, 7: 83771-83784.
[29] 张晶, 李彬, 戴朝波. 全球能源互联网标准体系研究[J]. 电网技术, 2017, 41(7): 2055-2063.
[29] ZHANG Jing, LI Bin, DAI Chaobo. Study on standard system for global energy interconnection[J]. Power System Technology, 2017, 41(7): 2055-2063.
[30] KONG X Y, SUN F Y, HUO X X, et al. Hierarchical optimal scheduling method of heat-electricity integrated energy system based on Power Internet of Things[J]. Energy, 2020, 210: 118590.
[31] 王永真, 张靖, 潘崇超, 等. 综合智慧能源多维绩效评价指标研究综述[J]. 全球能源互联网, 2021, 4(3): 207-225.
[31] WANG Yongzhen, ZHANG Jing, PAN Chongchao, et al. Multi-dimensional performance evaluation index review of integrated and intelligent energy[J]. Journal of Global Energy Interconnection, 2021, 4(3): 207-225.
[32] 汪军, 朱建军, 刘小弟. 兼顾形状-距离的正态云模型综合相似度测算[J]. 系统工程理论与实践, 2017, 37(3): 742-751.
[32] WANG Jun, ZHU Jianjun, LIU Xiaodi. An integrated similarity measure method for normal cloud model based on shape and distance[J]. Systems Engineering-Theory & Practice, 2017, 37(3): 742-751.
[33] 汪军, 朱建军, 覃朗. 基于云模型熟悉相似度的协同过滤推荐算法[J]. 计算机工程与科学, 2017, 39(11): 2102-2108.
[33] WANG Jun, ZHU Jianjun, QIN Lang. A collaborative filtering recommendation algorithm based on familiarity similarity of cloud model[J]. Computer Engineering & Science, 2017, 39(11): 2102-2108.
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