Load Identification Modeling with Improved Model

The running state of different induction motor in the load group will be moved toward two directions when it was occurred the large disturbance in the power system, one is to keep on the rotor speed running, another is to decelerate to zero, that is stall state. If the quantity or proportion of stall induction motor in the group is a large number, the dynamic of stall motor has great impacts on the results of power system analysis. So it is necessary to adopt the detailed load model to simulate the complicated dynamic characteristic of the load group. An improved synthesis load model which combines two kinds of induction motor is proposed in this paper, and the improved genetic algorithm is used to solve the optimization problem. The case is studied to illustrate the efficiency and comprehensive capability of proposed identification model.