One state estimation method based on the grid with maximum likelihood estimation

The present invention relates to a method of estimating the state of distribution network based on the maximum likelihood estimation, the system operator belonging to automation and simulation technologies power grid. Suppose dummy load distribution grid has been measured by some method, and the grid load phase with the true value obtained pseudo measurement error group, and then using the kernel density estimation method of generating a pseudo-model distribution of measurement error, and by maximum likelihood estimation principle to consider the establishment of a pseudo-load measurements of state estimation model. The method of the present invention has good fitting distribution effect. As long as the probability that the data sample is the presence of a continuous, it can be fitted in any form of distributed data, and does not require any a priori probability distribution assumption. Therefore, this method can solve the pseudo-measured amount of load distribution networks do not follow a normal distribution problems, further consideration of proposed new probability density function of maximum likelihood estimation, to improve the state of the power grid with an estimated accuracy of the results.