Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

A Frequency control method for wind power system based on general energy storage model and particle swarm optimization

Authors
Qian Cheng, Qian Hai
Corresponding Author
Qian Cheng
Available Online June 2017.
DOI
https://doi.org/10.2991/gcmce-17.2017.60How to use a DOI?
Keywords
Frequency control; Particle swarm optimization; Energy storage model; Wind farm.
Abstract
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.

Download article (PDF)

Proceedings
2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-383-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/gcmce-17.2017.60How to use a DOI?
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  -