Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

A Review on Optimal Operation of Power System Including Wind Farms

Authors
Lanpei Yang, Kewen Wang
Corresponding Author
Lanpei Yang
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.9How to use a DOI?
Keywords
wind power; power system; optimal operation; traditional algorithms; artificial intelligence optimization algorithms
Abstract
In order to comprehensively generalize the research status quo, achievements as well as deficiencies on the optimal operation of power system including wind farms, this paper introduced the optimal operation models for power system including wind farms, according to the difference of optimization objective, the models are divided into the single objective model and the multi-objective model. A variety of traditional optimization algorithms and artificial intelligence optimization algorithms common used were summarized, including dynamic programming, Lagrangian relaxation method, genetic algorithm, particle swarm optimization, ect, the principle, advantages and disadvantages of each algorithm were analyzed in this paper. Finally, some suggestions are given for further studies on the optimal operation of wind power.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Lanpei Yang
AU  - Kewen Wang
PY  - 2016/07
DA  - 2016/07
TI  - A Review on Optimal Operation of Power System Including Wind Farms
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 55
EP  - 61
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.9
DO  - https://doi.org/10.2991/iccia-17.2017.9
ID  - Yang2016/07
ER  -