Name
Title | ||
|---|---|---|
Supervisory Controller For Smoothing Wind Turbine Power Output Based On Fess Using Anns For Short-Term Ahead Prediction |
Abstract | ||
|---|---|---|
One of the most challenging aspects concerning the increasing penetration of Eolic generation is the highly uncertain nature of wind,which may be the origin of several problems related with output power quality, system stability and poor reliability of wind energy generation. Include an Energy Storage System (ESS) is a common solution to mitigate the negative effects of power fluctuation in renewable generators. The use of Flywheels Energy Storage Systems (FESSs) is an attractive solution in wind applications. This paper presents a fuzzy logic supervisory controller for management stored energy in a FESS. The controller inputs are the extracted wind power,the rotational speed of the FESS and a predicted slope angle of the wind profile obtained using Artificial Neural Networks (ANNs). The results verify the effectiveness of the proposed supervisory controller by comparing the mean and standard deviation of the simulation output power against the most popular fuzzyl ogic controller. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IECON.2018.8591632 | IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY |
Field | DocType | ISSN |
Energy storage,Control theory,Renewable energy,Control theory,Fuzzy logic,Flywheel,Control engineering,Turbine,Engineering,Wind profile power law,Wind power | Conference | 1553-572X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivan Villanueva | 1 | 1 | 1.11 |
| Eduardo Torres | 2 | 0 | 0.34 |
| David Balderas | 3 | 1 | 0.69 |
| Pedro Ponce | 4 | 24 | 18.14 |
| Arturo Molina | 5 | 642 | 69.86 |