Minimum Inertia Assessment Method for High Percentage New Energy Power System Based on Improved Particle Swarm Algorithm

High-percentage new energy access brings serious challenging for frequency stability in power system, and also presents new demands on the safe and economic operation of the power system. Aiming to improve the inertial situational awareness capability of power systems in the case of high percentage of new energy access. Enhance the frequency adaptation capability of the power system to active disturbances. And to quantify the operation boundary of the system. Based on the power system frequently response model, this paper analyzes the frequently response process of the power grid in different time scales after being subjected to active perturbation. And the mathematical relationship of the system quality response is constructed. Through the study of the whole process of frequency response, this paper proposes a minimum inertia evaluation method for high proportion new energy power system based on improved particle swarm algorithm, and uses particle swarm algorithm as the solution algorithm. Finally, simulation tests based on the IEEE-30 node model validate the effectiveness and the precision of the proposed method.