The Xinjiang Grid Load Modeling And Simulation Analysis

In the power system load is the core component of the power, it has some features such as random start and stop, change over time, distributed more widely relevant in the current calculations, we choose to act as a relatively rough model of the load model experiments, and these rough models and our very accurate generator, excitation system, governor system, network element model, there is some discord between them, simulation results can be obtained certainly conceivable to overly pessimistic or optimistic, resulting in a waste of investment funds or lack, equipment can not be fully utilized, and the accident grid affect the power system and electricity market. Therefore, we can not underestimate the impact of load models for various calculations.Researchers and field personnel electricity have realized load model must be established in line with the actual situation as much as possible. But the theory is not mature modeling, scheduling department is usually based on their own experience, by using a variety of static and dynamic integrated load model proportions. Power system load models will have different impact on different simulation results, but only some of the key aspects involved, to further extensive research must adhere to perseverance. Load modeling this problem is widespread but require a combination of theory and practical, you want to make the load model theory play a role in electrical engineering practice, then road-related research staff arduous task indeed a long way.This paper follows research carried out on the basis of the status of the power system load models:(1) Selected Changji grid as the simulation object, set different load model and its parameters, the stability limit of the critical clearing time after the simulation grid failure;(2) To compare the simulation results, discuss the impact of the motor to get the proportion of transient stability obvious. Based on this phenomenon, in determining the future of the simulation model of in-depth research on such factors as proximity between the simulation model and the actual model provides a theoretical basis.