Abstract：In this paper, a power system probabilistic transient stability assessment was studied, and Markov Chain Monte Carlo method to emulation load level was put forward. Taking the relativity of random samples into account, this method was more suitable for actual power system. During simulation, transient stability assessment method is proposed based on AdaBoost-DT and took fault information as input features. The simulation of New England 39 bus test system shows Markov Chain Monte Carlo Method converges faster than traditional Monte Carlo method. At the same time, AdaBoost-DT can dramatically reduce emulation time and effectively forecast transient stability.
叶圣永, 王晓茹, 周曙, 刘志刚, 钱清泉. 基于马尔可夫链蒙特卡罗方法的电力系统暂态稳定概率评估[J]. 电工技术学报, 2012, 27(6): 168-174.
Ye Shengyong, Wang Xiaoru, Zhou Shu, Liu Zhigang, Qian Qingquan. Power System Probabilistic Transient Stability Assessment Based on Markov Chain Monte Carlo Method. Transactions of China Electrotechnical Society, 2012, 27(6): 168-174.
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