An optimization method for the scenario of insufficient inertia of high-proportion renewable energy power system

Abstract

The present invention discloses an optimization method for the scenario of insufficient inertia of a high-proportion new energy power system, and the steps are as follows: comprehensively coordinate various active adjustable resources in the system, establish an active optimization scheduling model for the new energy power system, and solve the model to obtain the optimization scheduling results for each time period; establish a minimum inertia demand evaluation model for the power system, and use a particle swarm algorithm and Simulink simulation joint optimization method to solve the model to obtain the minimum inertia demand for each time period to ensure the safe and stable operation of the high-proportion new energy power system; formulate an optimization response model in combination with the system minimum inertia demand, and by solving the optimization model, the system optimization response strategy can be obtained when the system inertia is insufficient. The present invention takes into account the scheduling means and supplementary means such as additional virtual inertia, and fully considers the minimum inertia constraint. It can improve the economic operation level of the system on the basis of ensuring the frequency stability of the high-proportion new energy power system.

Images