Gray-Markov chain-based distribution network state estimation method

The invention relates to a gray-Markov chain-based distribution network state estimation method. According to the method of the invention, the power flow state of a power distribution network is regarded as a gray system; the fitting and prediction result of measurement information is obtained through adopting a gray model; a residual sequence between fitting data and actual data is calculated; the residual sequence is analyzed, so that a residual transfer vector is obtained, and a state transition probability matrix is constructed; and a state estimation result is obtained according to historical state data, the last residual value and the change rate of the residual transfer vector. According to the method of the invention, the gray theory and the Markov chain are combined, so that the gray-Markov chain-based distribution network state estimation method of the invention has high precision, high calculation speed, low memory consumption and high practical value. 种基于灰色-马尔可夫链的配网状态估计方法，将配电网的潮流状态看成个灰色系统，采用灰色模型得到