中国电力 ›› 2019, Vol. 52 ›› Issue (5): 29-35.DOI: 10.11930/j.issn.1004-9649.201903085

• 智能发电关键技术专栏 • 上一篇    下一篇

基于SA-PSO-AHP的火电厂控制系统信息安全威胁评估

段旭晨1, 彭道刚1, 姚峻2, 赵慧荣1, 夏飞1   

  1. 1. 上海电力大学 自动化工程学院, 上海 200090;
    2. 上海明华电力科技有限公司, 上海 200090
  • 收稿日期:2019-03-24 修回日期:2019-04-19 出版日期:2019-05-05 发布日期:2019-05-14
  • 作者简介:段旭晨(1996-),男,硕士研究生,从事工业控制系统信息安全研究,E-mail:maidong6014@163.com;彭道刚(1977-),男,通信作者,博士后,教授,从事智能发电自动化、电力控制系统信息安全等研究,E-mail:pengdaogang@126.com
  • 基金资助:
    上海市“科技创新行动计划”高新技术领域项目(18511105700,18511105800);上海市科学技术委员会工程技术研究中心项目(14DZ2251100)。

Assessment on the Threat to the Information Security of Power Plant Control System Based on SA-PSO-AHP Method

DUAN Xuchen1, PENG Daogang1, YAO Jun2, ZHAO Huirong1, XIA Fei1   

  1. 1. School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
    2. Shanghai Minghua Power Science & Technology Co., Ltd., Shanghai 200090, China
  • Received:2019-03-24 Revised:2019-04-19 Online:2019-05-05 Published:2019-05-14
  • Supported by:
    This work is supported by Shanghai Science and Technology Commission Program (No.18511105700, No.18511105800) and Engineering Research Center of Shanghai Science and Technology Commission Program (No.14DZ2251100).

摘要: 火电厂控制系统信息安全问题形势严峻,针对某电厂的信息安全测评,利用层次分析法建立分层递进分析模型,通过模拟退火算法改进粒子群的方法解决判断矩阵一致性问题,可以有效解决信息安全威胁评估中存在的主观性强和不确定性的弊端,对火电厂控制系统的应用表明,该方法既能够充分反映评判要素及过程的模糊性,也可以减少个人主观因素带来的影响,能够较好地得出评价结果。

关键词: 火电厂控制系统, 层次分析, 模拟退火, 粒子群, 一致性修正, 威胁评估

Abstract: Due to the severe situation of information security in power plant control system, based on the information security evaluation of a power plant, a hierarchical progressive analysis model is established by using analytic hierarchy process (AHP) model. And then the consistency problem of judgment matrix is solved through the enhancement of particle swarm optimization (PSO) method in combination with simulated annealing (SA) algorithm, which can effectively overcome the drawbacks such as strong subjectivity and uncertainties in the current information security threat assessment. The practice in the thermal plant shows that this method can not only fully demonstrate the application of the fuzziness of the evaluation elements and processes, but also reduce the impact of individual subjective factors such that satisfactory evaluation results can be achieved.

Key words: control system of thermal power plant, analytic hierarchy process, simulated annealing, particle swarm optimization, consistency correction, threat assessment

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