Rotation Speed Recovery Strategy Based On Particle Swarm Optimization for Variable Power Curve Optimization

2018 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

材料科学;无线电电子学;计算机科学

Liu, Rui^1,2,3 ; Song, Peng^2,3 ; Wang, Xiaosheng^2,3 ; Cui, Yang^2,3 ; Lin, Zhongwei^1

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Control and Computer Engineering, North China Electric Power University, Beijing

102206, China^1

State Grid Jibei Electric Power Research Institute, North China Electric Power Research Institute Co. Ltd., Beijing

100045, China^2

Grid-Connected Oper. Technol. for Wind-Solar Storage Hybrid Syst. State Grid Corp. Key Laboratory, Beijng

100045, China^3

关键词: Inertial controls;    Power increase;    PSO(particle swarm optimization);    Recovery strategies;    Rotation speed;    Simulation and analysis;    Variable power;    Wind power capacity;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/439/3/032089/pdf
DOI  :  10.1088/1757-899X/439/3/032089

来源: IOP

【 摘 要 】

With the increase of wind power capacity incorporated into the grid, the permeability of wind power increases continuously, which leads to the reduction of the equivalent inertia of the system. Rotor speed recovery will cause the secondary frequency dips when DFIG uses rotor inertial control to participate in system frequency modulation. In order to optimize the secondary frequency dips, this paper uses PSO (Particle Swarm Optimization) to optimize the Parameters of Variable Power Functions on the basis of the previously proposed variable power curve strategy. This article simulates this strategy through setting up a system by Simulink. Simulate the results of optimization, compared with the traditional recovery strategy, validity of the proposed strategy is demonstrated through simulation and analysis.