International Journal on Advanced Science, Engineering and Information Technology, Vol. 9 (2019) No. 1, List of accepted papers. , DOI:10.18517/ijaseit.9.1.7585

A Data Driven Approach to Wind Plant Control using Moth-Flame Optimization (MFO) Algorithm

Muhammad Azizan Md Idris, Mok Ren Hao, Mohd Ashraf Ahmad


This article presents an initial investigation of a data driven approach using moth-flame optimization algorithm (MFO) to the problem of improving wind plants power generation. The MFO based technique is applied to search the turbine’s optimum controller such that the aggregation power generation of a wind plant is maximized. A row of wind turbines plant with wake aerodynamic effect among turbines is adopted to demonstrate the effectiveness of the MFO based technique. Numerical results show that the MFO based approach generates better total wind power generation than spiral dynamic algorithm (SDA) based approach and safe experimentation dynamic (SED) based approach.


Moth-flame Optimization (MFO); data driven; wind plant optimization; power generation; alternative energy.

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