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大型电力网络异常波动下的风险控制模型仿真 被引量:1

Large Electric Power Network Risk Controt Model Under Electric Power Abnormal Fluctuation
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摘要 大型电力设备在使用中的安全问题越来越多,特别是应对网络的电力安全风险影响最为严重,轻者造成设备死机或误动作,重者造成设备中元器件的损害,对大型电力工程造成巨大的安全隐患。为此,提出大型电力网络异常波动下的风险控制模型仿真,通过对大规模电力系统网络的分析进行网络异常检查,把大型电力网络分解成若干较小的子网络,对每个网络在分割的边界处分别进行等值计算,通过计算值进行风险评估及建立控制模型,进行电力网络异常的风险控制的过程。仿真实验表明,大型电力网络异常波动下的风险控制模型仿真能够有效的提高电力安全的控制,降低安全风险且具备计算简单故障与复杂故障的性能,加快风险评估的速度及准确性,可靠性较强。有效的为大型电力网络异常波动提供更好的风险控制保障。 Large power equipment in the use of the security problem is becoming more and more particularly to the network of electric power safety risk most affected, light person freezes or misoperation caused by equipment, heavy equipment components damage, cause great potential safety hazard to large power engineering. For this, put forward the risk control of large power network abnormal fluctuations model simulation, through the analysis of the for the large-scale power system network for network anomaly inspection, the large electric power network is decomposed into smaller sub network, each network at the boundary of the segmentation for equivalent calculation, by calculating the value of risk assessment and the establishment of control model, abnormal risk control process of electric power network. Simulation experiments show that large electric network abnormal volatility risk control model of simulation can effectively improve power security control, reduce the safety risk and have simple fault and the performance of complex fault, accelerate the speed and accuracy of risk assessment and strong reliability. Effective for large electric network provide a better risk control abnormal fluctuations.
作者 尹松岩 张柳
出处 《科技通报》 北大核心 2015年第2期221-223,共3页 Bulletin of Science and Technology
关键词 大型电力 异常波动 风险评估 large electric power abnormal fluctuation risk assessment
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参考文献5

  • 1Markus Burger,Bernhard Graeber,and Gero Schindlmayr,Managing Energy Risk:An Integrated View on Power and Other Energy Markets[M].The Wiley Finance Series,2008.
  • 2M Han,Y Wang.Analysis and modeling of multivariate chaotic time series based on neural network[J].Expert Systems with Applications,2009,36(2):1280-1290.
  • 3Ren Fei.ADIC:an anomaly detection algorithm using incremental clustering[J].Journal of Information and Computational Science,2009,6(2):1051-1057.
  • 4侯慧,尹项根,陈庆前,游大海,童光毅,邵德军.南方部分500kV主网架2008年冰雪灾害中受损分析与思考[J].电力系统自动化,2008,32(11):12-15. 被引量:78
  • 5田世明,陈希,朱朝阳,谢迎军.电力应急管理平台研究[J].电网技术,2008,32(1):26-30. 被引量:76

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