Research of Reactive Power Planning Optimization Based on Improved Adaptive Genetic Algorithm for Wind Power Plant
- DOI
- 10.2991/aiie-16.2016.29How to use a DOI?
- Keywords
- wind power plant; multi-scenario modeling; reactive power planning optimization; improved adaptive genetic algorithm
- Abstract
Contrapose the randomness of wind speed and the wind power, use the method of multi-scenario based on probability analysis to study reactive power planning of wind power system and make the multi-scenario expectation model. On this basis, use improved adaptive genetic algorithm with subsection self-adaption selection strategy and the continuous changing mutation probability calculation method. Algorithm stability has been improved. The convergence of generation number has been reduced. And global optimization ability has been improved. The analysis of examples has verified the correctness and effectiveness of the model and the algorithm.
- Copyright
- © 2016, 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/).
Cite this article
TY - CONF AU - Shijie Liu PY - 2016/11 DA - 2016/11 TI - Research of Reactive Power Planning Optimization Based on Improved Adaptive Genetic Algorithm for Wind Power Plant BT - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016) PB - Atlantis Press SP - 118 EP - 121 SN - 1951-6851 UR - https://doi.org/10.2991/aiie-16.2016.29 DO - 10.2991/aiie-16.2016.29 ID - Liu2016/11 ER -