The invention relates to an STATCOM control method based on a multi-model
fuzzy neural network PI. The method comprises the steps of S1, dividing the
distribution system into three models, i,e., Mi (i=1, 2, 3) according to the reduced amplitude value of the
voltage Upcc of an access point after a load side of a
distribution system is connected with different
impact loads; S2, designing a d-axis PI controller PIdi (i=1, 2, 3) and a q-axis PI cotroller PIqi (i=1, 2, 3) for each of models; and S3, enabling the
fuzzy neural network model to comprises a fuzzy controller and a neural network.
Control parameters kp and ki of the the d-axis PI controller PIdi (i=1, 2, 3) and the q-axis PI cotroller PIqi (i=1, 2, 3) in the Mi (i=1, 2, 3) are adjusted through the
fuzzy neural network model. The method has the advantages that 10, the PI controller adopts a multi-model technology, and PI parameters are selected according to a model index in the technology, so that the PI controllers can adapt to the changes of the load of the access point; and 2), the
control parameters kp and ki are adjusted by the fuzzy neural network, and complex
workload caused by manual PI parameter adjustment is reduced greatly.