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

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/gcmce-17.2017.60
ID  - Cheng2017/06
ER  -