Comparing And Researching On Dynamic Optimal Of Active Power In Power Systems

In order to ensure power system operation with high security, quality andeconomy, to enhance power system dynamic scheduling optimization has greatsignificance. This thesis is mainly to study in the dynamic optimal dispatchingdomain. The content involves the aspect of the current research status of activedynamic scheduling, power-flow calculation, incremental transmission losses, thestatic and dynamic active optimization algorithm etc.This thesis systematically summarized several kinds of power-flow algorithmsand derived the method of dc power-flow calculation. It used some examples tocompare each algorithm and analyzed their advantages from the calculating results,iteration number, convergence rate and some other conditions. Then make acomparison of several methods of incremental transmission losses for the dynamicoptimization.It derived classical method and its iterative calculation when introducing thetraditional static active optimization and the law of equal consumed energy ratio.Then this paper introduced dynamic active theory and explained the feasibility andnecessity of the transition from static to dynamic active optimization. And itexplained load curve forecasting and the constraint form of classical method whichshowed dynamic scheduling optimization model and calculation method completely.At the end of this paper, it made a comparison of several methods of incremental transmission losses. It analyzed the differences between classical static active optimization method and classical dynamic active optimization method. Finally it introduced different methods of incremental transmission losses to active dynamic optimization scheduling for improving the accuracy and effectiveness.