基于云模型综合相似度的电力物联网关键技术综合评价

doi:10.16183/j.cnki.jsjtu.2022.420

上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (1): 19-29.doi: 10.16183/j.cnki.jsjtu.2022.420

• 新型电力系统与综合能源 • 上一篇下一篇

基于云模型综合相似度的电力物联网关键技术综合评价

陈连福¹^,², 钟海旺¹^,²(), 谭振飞¹^,², 阮广春¹^,²

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

收稿日期:2022-10-20 修回日期:2022-12-09 接受日期:2023-02-13 出版日期:2024-01-28 发布日期:2024-01-16
通讯作者: 钟海旺,副教授,博士生导师,电话(Tel.):010-62794361;E-mail:zhonghw@tsinghua.edu.cn.
作者简介: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.
基金资助:
国家重点研发计划“电力物联网关键技术”(2020YFB0905900)

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

CHEN Lianfu¹^,², ZHONG Haiwang¹^,²(), TAN Zhenfei¹^,², RUAN Guangchun¹^,²

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:2022-10-20 Revised:2022-12-09 Accepted:2023-02-13 Online:2024-01-28 Published:2024-01-16

1. 附录.pdf(160KB)

摘要/Abstract

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

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)

中图分类号:

TM734

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.

CHEN Lianfu, ZHONG Haiwang, TAN Zhenfei, RUAN Guangchun. Comprehensive Evaluation of Key Technologies in Power Internet of Things Based on Comprehensive Similarity of Cloud Model[J]. Journal of Shanghai Jiao Tong University, 2024, 58(1): 19-29.

图/表 6

图1

图2

图3

表1

PIoT关键技术方案指标

指标集	指标	指标名称	指标值	最优值	合格值
体系架构技术类指标集	1	数据融合共享等级	10	10	6
	2	边缘计算算力等级	10	10	6
	3	融合建模效果等级	10	10	6
	4	零信任安全等级	10	10	6
	5	全局协同防御等级	9	10	6
	6	安全防护等级	10	10	6
传感器技术类指标集	7	高频局部放电传感器传输阻抗值/(mV·mA^-1)	21	22	18
	8	超声波局部放电传感器峰值灵敏度/(dB·V·m·s^-1)	88	90	80
	9	自取能EMS振动传感器灵敏度/(mV·g^-1)	108	110	100
	10	变压器内部环境多参量光学传感器乙炔检测下限值/(μL·L^-1)	1.25	1	1.50
网络技术类指标集	11	多参量物联终端功耗/ kW	0.10	0.1	0.2
	12	多参量物联终端信息采集量级	10	10	6
	13	多参量物联终端自动化水平	10	10	6
	14	多参量物联终端数据转发时延/ ms	0.10	0.10	0.15
	15	多参量物联终端支持互联网协议数量	41	41	30
	16	超多跳自组网支持宽带业务传输数量	60	60	50
	17	自组网支持节点数量	1 200	1 200	1 000
平台支撑技术类指标集	18	物联管理组件设备接入量级	10	10	6
	19	物联管理组件设备并行连接量级	9	10	6
	20	物模管理组件管理模型量级	8	10	6
	21	云边协同采集与控制服务组件设备管理量级	10	10	6
	22	电力图计算分析服务组件支持电网节点数量	10	10	6
	23	数据共享服务组件共享管理数据量级	10	10	6
	24	数据立方体数组聚集量级	8	10	6
智能应用技术类指标集	25	典型电力设备故障诊断准确率/%	95	100	80
	26	万级计算节点调度策略计算时间/ s	25	24	30
	27	电网在线安全稳定主动分析响应时间/ min	3	3	6
	28	综合能源增值服务数量	38	40	30
	29	用户数据挖掘与增值互动应用交易决策节点量级	10	10	6
综合效益指标集	30	万级节点互联比例/%	80	100	70
	31	人机交互设备比例/%	75	100	60
	32	设备实时状态在线率/%	85	100	60
	33	平台业务平均处理时间/ s	2	1	10
	34	减排率/%	4	5	1

表1

表2

图4

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指标	正态云组合权重	指标	正态云组合权重
1	(0.007 32,0.007 76,0.002 01)	18	(0.023 77,0.011 98,0.007 16)
2	(0.021 88,0.015 21,0.006 56)	19	(0.027 68,0.016 99,0.009 00)
3	(0.017 51,0.018 27,0.006 12)	20	(0.017 03,0.017 74,0.010 48)
4	(0.006 15,0.004 08,0.002 07)	21	(0.043 22,0.053 87,0.020 13)
5	(0.021 25,0.007 14,0.002 76)	22	(0.067 67,0.055 52,0.002 64)
6	(0.009 33,0.006 02,0.001 06)	23	(0.006 22,0.003 89,0.001 09)
7	(0.005 98,0.002 42,0.000 54)	24	(0.038 65,0.033 42,0.005 26)
8	(0.033 25,0.031 58,0.017 42)	25	(0.027 21,0.014 23,0.003 74)
9	(0.047 79,0.043 95,0.021 87)	26	(0.052 63,0.048 32,0.025 18)
10	(0.040 16,0.037 70,0.018 00)	27	(0.029 68,0.018 66,0.004 46)
11	(0.052 59,0.066 01,0.024 98)	28	(0.020 00,0.014 09,0.002 45)
12	(0.048 67,0.022 01,0.002 72)	29	(0.011 96,0.008 79,0.004 65)
13	(0.033 08,0.020 62,0.008 01)	30	(0.025 43,0.018 44,0.008 16)
14	(0.020 66,0.014 57,0.007 50)	31	(0.018 22,0.013 47,0.006 63)
15	(0.028 43,0.014 05,0.004 83)	32	(0.045 62,0.018 28,0.002 93)
16	(0.019 64,0.014 30,0.005 21)	33	(0.040 42,0.028 21,0.016 14)
17	(0.023 09,0.017 47,0.005 79)	34	(0.067 81,0.038 77,0.017 57)

基于云模型综合相似度的电力物联网关键技术综合评价

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

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