A NEW MARKOV ALGORITHM FOR ESTIMATION AND ANALYSIS OF POWER SYSTEM OPERATION DATA

作者：Liu, Pengfei^*; Shen, Quntai; Chen, Qiufeng

来源：Journal of the Balkan Tribological Association, 2016, 22(2): 1344-1353.

• new Markov algorithm
• estimation
• power system operation data
• dynamic causal model

Aiming at prompting the accuracy of estimation and analysis of operational data for power system, a new Markov algorithm is based on dynamic causal modelling, Bayesian network and Grey model is presented in this paper. The theory of the Markov chains based on Markov random process has provided the possibility for solving the problem. The theory of the Markov stochastic process points out that: the state of the system in future is only concerned with the present system state, and regardless of the state of the past system. The Markov forecast predicts the future development of the system based on the transition probability between each system state, and reflects the inner regularity between the states. This paper also pointed out an important assumption behind the Markov induction algorithm and showed its effect on the estimation and analysis performance.

• 出版日期2016
• 单位中南大学