A data driven approach to wind plant control using moth-flame optimization (MFO) algorithm
One of the main issues of the wind plant power generation nowadays is that the current stand alone controller of each turbine in the wind plant is not able to cope with chaotic nature of wake aerodynamic effect. Therefore, it is necessary to re-tune the controller of each turbine in the wind plant s...
Saved in:
Main Authors: | Idris, M. A. M, Hao, Mok Ren, Mohd Ashraf, Ahmad |
---|---|
格式: | Article |
語言: | English |
出版: |
Insight Society
2019
|
主題: | |
在線閱讀: | http://umpir.ump.edu.my/id/eprint/24888/1/A%20Data%20Driven%20Approach%20to%20Wind%20Plant%20Control.pdf http://umpir.ump.edu.my/id/eprint/24888/ https://doi.org/10.18517/ijaseit.9.1.7585 https://doi.org/10.18517/ijaseit.9.1.7585 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Direct Tuning Phase-Shift Angle In Dab Dc-Dc Converter Using Moth Flame Optimization (Mfo) Algorithm
由: Lo, Norman Kun King
出版: (2022) -
System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO)
由: Mohd Erwan Mazalan
出版: (2022) -
Economic dispatch solution using moth-flame optimization algorithm
由: Mohd Herwan, Sulaiman, et al.
出版: (2018) -
Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant
由: Mohd Zaidi, Mohd Tumari, et al.
出版: (2022) -
Power production optimization of model-free wind farm using simulated annealing algorithm
由: Mok, Ren Hao, et al.
出版: (2022)