International Journal of Computational Intelligence Systems

Volume 8, Issue 3, June 2015, Pages 553 - 560

The Active Power and Reactive Power Dispatch Plan of DFIG Based Wind Farm Considering Wind Power Curtailment

Authors
Zengping Wang, Lefeng Zhang, Guohuang Li
Corresponding Author
Zengping Wang
Available Online 1 June 2015.
DOI
https://doi.org/10.1080/18756891.2015.1036222How to use a DOI?
Keywords
wind power curtailment, DFIG, active power allocation, reactive power allocation
Abstract
In normal operation, doubly-fed induction generator (DFIG) can generate certain range of reactive power and the DFIG based wind farm can participate in reactive power control of grid as a reactive power supply. This paper proposes one multi-objective power dispatch optimization model which considers copper loss minimization of all DFIGs in wind farm and maximization reactive power margin of every DFIG. The active power and reactive power generated by wind farm can meet the power gird requirements of both active power and reactive power. This wind farm power dispatch model will cause more economic benefit and bring more reactive power margin to every DFIG. The advantages and validity of the proposed method have been verified in the case study.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 3
Pages
553 - 560
Publication Date
2015/06
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2015.1036222How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Zengping Wang
AU  - Lefeng Zhang
AU  - Guohuang Li
PY  - 2015
DA  - 2015/06
TI  - The Active Power and Reactive Power Dispatch Plan of DFIG Based Wind Farm Considering Wind Power Curtailment
JO  - International Journal of Computational Intelligence Systems
SP  - 553
EP  - 560
VL  - 8
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1036222
DO  - https://doi.org/10.1080/18756891.2015.1036222
ID  - Wang2015
ER  -