ONLINE LOAD MODEL PARAMETER CORRECTION METHOD BASED ON AGGREGATION-IDENTIFICATION TWO-TIER ARCHITECTURE

An online load model parameter correction method based on an aggregation-identification two-tier architecture, comprising following steps of: (1) acquiring historical measurement data of a bus to be identified through offline statistics of a load composition of the bus; (2) performing load model aggregation by a capacity weighting method considering an induction motor load rate and a critical slip based on statistical and historical measurement data, to establish an initial aggregation model of loads; (3) setting an identification range of dominant parameters and fixing non-dominant parameters based on online measurement data and the initial aggregation model, and identifying the dominant parameters by a Particle Swarm Optimization (PSO) algorithm to obtain a composite load model; (4) establishing initial aggregation and composite load models of loads at all voltage levels through online application at different voltage levels of the method of the invention, and calculating an accuracy index of each composite load model.