An Optimized Particle Swarm Optimization (PSO) Algorithm Smoothing the Output of Wind Power

DOI

10.2991/cisia-15.2015.259How to use a DOI?

Keywords

wind power; smoothing; energy storage system(ESS); PSO algorithm

Abstract

The output power of wind turbine caused by the variation of wind fluctuates badly, which causes instability of the Power Grid. To smooth the output of wind power to Grid, an Energy Storage System (ESS) solves this problem by absorbing and releasing the wind turbine energy. The smooth performance depends on the State of Charge (SOC) of the ESS. Considering the SOC of the ESS, an optimized Particle Swarm Optimization (PSO) algorithm is designed in this paper, where the SOC of the ESS is the boundary condition. A penalty mechanism is designed to ensure the wind power system’s feasibility. The wind power system with ESS based on MATLAB is modelled. The optimized PSO algorithm is used to control output wind power. The simulation results verified it.

Copyright

© 2015, 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  - X.Y Zhang
AU  - N. Zhu
AU  - M.L Yuan
AU  - J.Y Xu
AU  - H.T Dai
PY  - 2015/06
DA  - 2015/06
TI  - An Optimized Particle Swarm Optimization (PSO) Algorithm Smoothing the Output of Wind Power
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 957
EP  - 960
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.259
DO  - 10.2991/cisia-15.2015.259
ID  - Zhang2015/06
ER  -