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关于暂态稳定不确定性分析的评述
引用本文:薛禹胜,刘 强,Zhaoyang DONG,Gerard LEDWICH,袁 越.关于暂态稳定不确定性分析的评述[J].电力系统自动化,2007,31(14):1-6.
作者姓名:薛禹胜  刘 强  Zhaoyang DONG  Gerard LEDWICH  袁 越
作者单位:1. 国网南京自动化研究院/南京南瑞集团公司,江苏省南京市,210003;东南大学电气工程学院,江苏省南京市,210096
2. 东南大学电气工程学院,江苏省南京市,210096;国网南京自动化研究院/南京南瑞集团公司,江苏省南京市,210003
3. University of Queensland,Australia
4. Queensland University of Technology,Australia
5. 河海大学电气工程学院,江苏省南京市,210098
基金项目:国家自然科学基金,国家电网公司资助项目,Australian Research Council Project
摘    要:从随机变量、概率模型、概率算法以及特定场景下的暂态稳定评估等方面,回顾国内外对暂态稳定概率分析和风险分析的研究和现状,归纳各种分析方法的原理及优缺点,讨论减少计算量的技术,探讨暂态稳定性概率分析及风险分析的发展方向.指出在计算失稳概率时尽量采用灵敏度分析技术来代替抽样仿真,将大大减少计算量.提出用最优稳定控制的代价来反映经济损失,即用主动停电造成的损失代替系统失稳后不受控停电的损失,使风险值可以实际计算.

关 键 词:暂态稳定  概率分析  风险评估  条件概率  蒙特卡罗仿真
收稿时间:2007/5/22 0:00:00
修稿时间:2007-05-22

A Review of Non-deterministic Analysis for Power System Transient Stability
XUE Yusheng,LIU Qiang,Zhaoyang DONG,Gerard LEDWICH,YUAN Yue.A Review of Non-deterministic Analysis for Power System Transient Stability[J].Automation of Electric Power Systems,2007,31(14):1-6.
Authors:XUE Yusheng  LIU Qiang  Zhaoyang DONG  Gerard LEDWICH  YUAN Yue
Affiliation:1. Nanjing Automation Research Institute, Nanjing 210003, China;2. Southeast University, Nanjing 210096, China;3. University of Queensland, Australia;4. Queensland University of Technology, Australia;5. Hohai University, Nanjing 210098, China
Abstract:The status of probabilistic analysis and risk assessments for transient stability is reviewed, in terms of stochastic variables, probabilistic models, probabilistic algorithms, deterministic transient stability consequence assessments of a specifically scenario and other aspects. The principle, advantages and disadvantages of various assessment methods are summarized, and the techniques capable of decreasing computation burden are discussed.; The development direction of probability and risk assessments for transient stability is also explored. It is pointed out that using sensitivity analysis to reduce the number of simulation cases will considerably decrease computational burden. It is also proposed to use the optimum control cost to reflect economic loss due to the system instability, which means using controllable outages to replace the uncontrolled outages and makes risk analysis practical.
Keywords:transient stability  probabilistic analysis  risk assessment  conditional probability  Monte Carlo simulation
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