Research On Validation Of Power System Dynamic Simulation

Power system dynamic simulation is a basic tool to understand power system. It also is essential guidance to layout, design and running of power system. So it possesses very high authority. The veracity of power system dynamic simulation has direct influence on the strategy of power system security. The post simulation of west United States blackout in 1996 found that real power system collapse can't be recurred using existing simulation library. The research indicates the veracity of simulation is not good. Many unreadable phenomena are found in countrywide power grid connecting. Those problems make people worry about the creditability of power system dynamic simulation. How to rightly understand the validity of simulation, how to improve the validity of simulation and how to insure the simulation rightly describe the dynamic characteristic of power system are problems crying for solve.This paper analysis the characteristics of model validation and power system dynamic simulation. Content and key factors of model validation of power system dynamic simulation are introduced. Model validation of Component and model validation of entire power grid should be entire. And they supplement each other. A model validation frame is purposed that based on power system dynamic Fuzzy analytic hierarchy process.This paper researches the characteristic of dynamic error between real system measured data and simulation output. A tool to distill dynamic characteristic based on prony algorithm is purposed. Power system signal is divided according to time. Physical character of power system dynamic variable is the basis of it. First swing error, frequency comparability, damp comparability and energy error are purposed as error index. Those indexes measure the error of power system dynamic simulation. And it provides important reference to simulation error trace.All component of power system is tight coupling. And the dimension of power system model is very high. A network partition method is purposed based on spur track density. Measured data are imported into simulation calculation. Subarea simulation are used to find model and parameter errors that make simulation error. Parameter identification method based on sensitivity analysis is used to ulteriorly find errors of simulation model and parameter. All kinds of sensitivity analysis methods are compared. And a load model parameter sensitivity analysis method considering simulation error index is purposed. The aim of it is reducing the parameters that need to...