A Frequency control method for wind power system based on general energy storage model and particle swarm optimization
Qian Cheng, Qian Hai
Available Online June 2017.
- https://doi.org/10.2991/gcmce-17.2017.60How to use a DOI?
- Frequency control; Particle swarm optimization; Energy storage model; Wind farm.
- Based on the frequency control of power system with wind turbine, this paper proposed a general model for energy storage system. On this basis, a method of power network frequency control based on particle swarm optimization (PSO) is proposed. By finding the optimal location of the particles, the optimal control parameters for the current grid are obtained. The performance of the proposed approach is tested on the IEEE-39 bus system. Experimental results indicate that the PSO algorithm can provide the optimal PI controller with proportional and integral parameters. The frequency fluctuation which is caused by wind farm can be obviously reduced. And the traditional problem of controller parameters misalignment can be solved.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qian Cheng AU - Qian Hai PY - 2017/06 DA - 2017/06 TI - A Frequency control method for wind power system based on general energy storage model and particle swarm optimization BT - 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017) PB - Atlantis Press SP - 339 EP - 344 SN - 2352-5401 UR - https://doi.org/10.2991/gcmce-17.2017.60 DO - https://doi.org/10.2991/gcmce-17.2017.60 ID - Cheng2017/06 ER -