Dynamic Analysis and Modeling Based on the Micro-grid Planning
Accurate modeling of dynamic analysis uncertainty is an important problem in microgrid planning.The more accurate the modeling of the dynamic analysis uncertainty is,the closer the result of the stochastic optimization method is to the actual optimal value.In this paper,a scenario-based stochastic optimization method is used to deter-mine the distributed generation capacity of an autonomous microgrid,with the output power and load of photovoltaic and wind turbines as uncertain variables.The objective function is cost,and the constraint condition is grid reliabili-ty.In order to generate a scenario with uncertain variables in a microgrid,the dynamic ownership of variables is first analyzed by recursive graph nonlinearity,and then their seasonal behavior is studied.On this basis,a method of data classification based on the seasonal characteristics of data is proposed,and a scenario generation method for each uncertain variable is determined.The results show that the scenario generation method based on the analysis of un-certain variables can improve the optimization precision.
NETL
NSTL
万方数据
