Author_Institution :
Guangzhou Power Supply Bur. Guangzhou, Guangdong Province, Guangzhou, China
Abstract :
Voltage stability has become common potential threat of receiving-end load center power grid such as Beijing, Shanghai, Guangzhou, etc. Take the typical receiving-end grid, Guangzhou power grid, as an example, through simulation analysis, it reveals two different degree transient voltage instability mode of receiving-end grid: the system transient voltage instability and local transient voltage instability, further study its instability characteristics, mechanism and influencing factors. In the view of the load model, it directly affects the accuracy of the voltage stability analysis. The typical calculation model, 50% constant impedance plus 50% motor, is difficult to reflect the load characteristics under different conditions and different time, therefore, it´s lack of credibility. This paper puts forward using the marketing and distribution information integration technology to realize real-time classification load statistic, and then establish a more accurate real-time classification load model. Simulation shows that the modeling of real-time classification load model, which combining the advantages of the comprehensive statistics and parameter identification method, is very quick and convenient, the simulation using real-time classification load model is more dependable and can reflect characteristics under different conditions. This research has important reference meaning to load modelling and voltage stability analysis of receiving-end grid.
Keywords :
electric impedance; pattern classification; power distribution economics; power engineering computing; power grids; power markets; power system parameter estimation; power system transient stability; statistical analysis; Beijing; Guangzhou; Shanghai; constant impedance; distribution information integration technology; load characteristics; local transient voltage instability; marketing; parameter identification method; real-time classification load model; real-time classification load statistic; receiving-end load center power grid; receiving-end network; simulation analysis; system transient voltage instability mode degree; voltage stability research; Analytical models; Load modeling; Power system stability; Real-time systems; Stability analysis; Transient analysis; Voltage stability; instability mode; marketing and distribution information integration; real-time classification load model;