Research on State Estimation Algorithm of Distribution Network Based on Genetic Algorithm

Using the real-time measurement data of the distribution network and the specification of the load history data, the active power and reactive power of each user as genes, the probability model of the user load and the current constraints of the distribution network are fully taken into account in the gene coding and the fitness function. And multiple combinations of the gene operations are used to solve the problem, which is proved to be feasible by the typical example of the 8-nodes. The genetic algorithm state estimation of different networks can get a better estimation of the effect and estimation bias is much smaller than the mean estimation.