基于泛在电力物联网多源信息的电网动态风险评估系统

doi:10.11930/j.issn.1004-9649.201907062

中国电力 ›› 2019, Vol. 52 ›› Issue (12): 10-19.DOI: 10.11930/j.issn.1004-9649.201907062

• 泛在电力物联网——网络安全技术 • 上一篇下一篇

基于泛在电力物联网多源信息的电网动态风险评估系统

王申华¹, 何湘威¹, 方小方¹, 陈冰松², 郭创新²

1. 国网浙江武义供电有限公司, 浙江金华 321100;
2. 浙江大学电气工程学院, 浙江杭州 310027

收稿日期:2019-07-10 修回日期:2019-11-20 发布日期:2019-12-05
通讯作者: 何湘威(1995-),男,通信作者,工程师,从事信息化系统工程建设,电力系统风险评估等研究,E-mail:jiaohaopeter@163.com
作者简介:王申华(1978-),男,高级工程师,从事信息化项目建设运维管理,E-mail:wsh_36@21cn.com
基金资助:
国家自然科学基金资助项目（多重不确定因素下的智能电网风险调度理论与方法研究，51537010）

Dynamic Risk Assessment System for Power System Based on Multi-source Information of the Ubiquitous Power Internet of Things

WANG Shenhua¹, HE Xiangwei¹, FANG Xiaofang¹, CHEN Bingsong², GUO Chuangxin²

1. State Grid Zhejiang Wuyi Electric Power Company, Jinhua 321100, China;
2. School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Received:2019-07-10 Revised:2019-11-20 Published:2019-12-05
Supported by:
This work is supported by the National Natural Science Foundation of China (Research on Theory and Method of Smart Grid Risk Dispatching under Multiple Uncertainties, No.51537010)

摘要/Abstract

摘要： 针对当前电力调控中心难以计及多源信息对电网动态过程进行有效风险评估的现状，指出了泛在电力物联网大背景下电网风险评估所面临的挑战与机遇，提出了基于泛在电力物联网的电网动态风险评估体系架构。首先介绍了电网动态风险评估概念，并设计了基于物联网的电网动态风险评估体系流程。其次提出了如何利用泛在物联网多源数据解决故障概率动态感知、故障集动态选取、故障后状态动态生成以及操作过程动态风险评估等关键问题的处理方法。最后基于该体系架构，设计了相应的软件系统，介绍了该系统的数据源、数据中台以及主要功能模块，并结合实际案例，对系统的应用情况进行了说明。

关键词: 电网动态风险评估, 泛在电力物联网, 体系架构, 系统设计, 多源数据

Abstract: In view of the current situation that it is difficult for the power regulation and control center to take the multi-source information into account for the effective dynamic risk assessment of power grid, this paper points out the challenges and opportunities faced by the power grid risk assessment under the background of the Ubiquitous Power Internet of Things. A power grid dynamic risk assessment architecture based on the Ubiquitous Power Internet of Things is proposed. Firstly, the concept of power grid dynamic risk assessment is introduced, and the process of power grid dynamic risk assessment system based on Internet of Things is established. Secondly, by taking advantage of the multi-source information provided by the Ubiquitous Power Internet of Things, the procedures to resolve the key issues are presented, such as dynamic perception of fault probability, dynamic selection of fault set, dynamic generation of post-fault state and dynamic risk assessment of operation process and so on. Finally, based on the architecture, the corresponding software system is designed. The data source, data platform and main function modules of the system are also described. The application of the system is illustrated with practical cases.

Key words: dynamic risk assessment for power system, Ubiquitous Power Internet of Things, architecture, software design, multi-source data

中图分类号:

TM734

王申华, 何湘威, 方小方, 陈冰松, 郭创新. 基于泛在电力物联网多源信息的电网动态风险评估系统[J]. 中国电力, 2019, 52(12): 10-19.

WANG Shenhua, HE Xiangwei, FANG Xiaofang, CHEN Bingsong, GUO Chuangxin. Dynamic Risk Assessment System for Power System Based on Multi-source Information of the Ubiquitous Power Internet of Things[J]. Electric Power, 2019, 52(12): 10-19.

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https://www.electricpower.com.cn/CN/Y2019/V52/I12/10

参考文献

[1] LI W Y. Risk assessment of power systems[M]. Hoboken, NJ, USA:John Wiley & Sons, Inc., 2004.
[2] CIAPESSONI E, CIRIO D, PITTO A, et al. A risk-based methodology and tool combining threat analysis and power system security assessment[J]. Energies, 2017, 11(1):83.
[3] 朱炳铨, 倪秋龙, 项中明, 等. 电网调度运行全过程风险跟踪与动态调控技术[J]. 电力建设, 2018, 39(2):36-42 ZHU Bingquan, NI Qiulong, XIANG Zhongming, et al. Risk tracing and dynamic control technology for whole process of power grid dispatching[J]. Electric Power Construction, 2018, 39(2):36-42
[4] 文云峰, 崔建磊, 张金江, 等. 面向调度运行的电网安全风险管理控制系统(一)概念及架构与功能设计[J]. 电力系统自动化, 2013, 37(9):66-73 WEN Yunfeng, CUI Jianlei, ZHANG Jinjiang, et al. Design of a security risk management system for power system dispatching and operation part one concepts and design of architecture and function[J]. Automation of Electric Power Systems, 2013, 37(9):66-73
[5] 周家启, 赵霞. 电力系统风险评估方法和应用实例研究[J]. 中国电力, 2006, 39(8):77-81 ZHOU Jiaqi, ZHAO Xia. Models and methods applied to risk assessment of power systems[J]. Electric Power, 2006, 39(8):77-81
[6] DOKIC T, DEHGHANIAN P, CHEN P C, et al. Risk assessment of a transmission line insulation breakdown due to lightning and severe weather[C]//201649th Hawaii International Conference on System Sciences (HICSS), January 5-8, 2016. Koloa, HI, USA:IEEE, 2016:2488-2497.
[7] WANG J, LI Z, XIONG X F, et al. Time-varying failure rate simulation model of transmission lines and its application in power system risk assessment considering seasonal alternating meteorological disasters[J]. IET Generation, Transmission & Distribution, 2016, 10(7):1582-1588.
[8] HU B, ZHENG Y, YANG H J, et al. Reliability evaluation of power system operations considering time-varying features of components[J]. Journal of Electrical Engineering and Technology, 2015, 10(4):1422-1431.
[9] WANG Y, ZHOU M, YANG J, et al. The research on aging failure rate and optimization estimation of protective relay under haze conditions[C]//Seventh International Conference on Electronics and Information Engineering. International Society for Optics and Photonics, 2017, 10322.
[10] 赵渊, 周家启, 周念成, 等. 大电力系统可靠性评估的解析计算模型[J]. 中国电机工程学报, 2006, 26(5):19-25 ZHAO Yuan, ZHOU Jiaqi, ZHOU Niancheng, et al. An analytical approach for bulk power systems reliability assessment[J]. Proceedings of the CSEE, 2006, 26(5):19-25
[11] BILLINTON R, ALLAN R N. Reliability evaluation of engineering systems-Concepts and techniques[M]. New York:Plenum Press, 1992.
[12] 贾林杰. 太原电网薄弱环节辨识及可靠性提高措施研究[D]. 北京:华北电力大学, 2015. JIA Linjie. Research on weakness identification and reliability improvement of Taiyuan power grid[D]. Beijing:North China Electric Power University, 2015.
[13] YU S W, WU H, GENG H, et al. Study on risk assessment of the electric power tower and pole damage in power system under typhoon disaster[J]. Procedia Computer Science, 2018, 130:1164-1169.
[14] MAKVAND S B, VENKATESH B, CHENG D, et al. Probabilistic evaluation and planning of power transmission system reliability[J]. IET Generation, Transmission & Distribution, 2017, 11(5):1119-1125.
[15] 王兴佳, 文茂霖. 110kV进线备自投装置的应用研究[J]. 工程技术研究, 2019, 4(2):46-47
[16] 全少雄. 220kV变电站倒闸操作常见问题与改进措施分析[J]. 山东工业技术, 2018(22):183
[17] 黄哲忱, 袁宇波, 张小易, 等. 热倒母线操作合闸可靠性在线预警技术研究[J]. 电力工程技术, 2017, 36(1):65-69, 78 HUANG Zhechen, YUAN Yubo, ZHANG Xiaoyi, et al. Research of online alerting technology for bus switching reliability[J]. Electric Power Engineering Technology, 2017, 36(1):65-69, 78
[18] 李俊. 深圳电网4·10大停电事件的处理及启示[J]. 南方电网技术, 2014, 8(1):65-69 LI Jun. The processing and inspiration of Shenzhen power grid 4·10 blackout event[J]. Southern Power System Technology, 2014, 8(1):65-69
[19] 赵婷, 高昆仑, 郑晓崑, 等. 智能电网物联网技术架构及信息安全防护体系研究[J]. 中国电力, 2012, 45(5):87-90 ZHAO Ting, GAO Kunlun, ZHENG Xiaokun, et al. Research on technical framework and cyber security protection system of IOT in smart grid[J]. Electric Power, 2012, 45(5):87-90
[20] GILCHRIST A. Industry 4.0:the industrial internet of things[M]. Apress, 2016.
[21] ZHOU K L, FU C, YANG S L. Big data driven smart energy management:from big data to big insights[J]. Renewable and Sustainable Energy Reviews, 2016, 56:215-225.
[22] MESTAV K R, LUENGO-ROZAS J, TONG L. State estimation for unobservable distribution systems via deep neural networks[C]//2018 IEEE Power & Energy Society General Meeting (PESGM), August 5-10, 2018. Portland, OR:IEEE, 2018:1-5.
[23] QIU J, WANG H F, LIN D Y, et al. Nonparametric regression-based failure rate model for electric power equipment using lifecycle data[J]. IEEE Transactions on Smart Grid, 2015, 6(2):955-964.
[24] 何迪. 架空线路故障概率建模及可载性研究[D]. 杭州:浙江大学, 2017. HE Di. Failure probability model and overload capacity of overhead lines[D]. Hangzhou:Zhejiang University, 2017.

基于泛在电力物联网多源信息的电网动态风险评估系统

Dynamic Risk Assessment System for Power System Based on Multi-source Information of the Ubiquitous Power Internet of Things

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基于泛在电力物联网多源信息的电网动态风险评估系统

Dynamic Risk Assessment System for Power System Based on Multi-source Information of the Ubiquitous Power Internet of Things

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