40. Data-Driven Optimisation Algorithms for Wind Turbines (ME-12-TYIN-053)

Electrical and Electronic Engineering
Written By JT Production Management
 

The project aims to develop data-driven optimisation algorithms that can be used to maximise wind turbine efficiency in region two of operation. This project is focused on utilising adaptive control techniques such as extremum seeking control (ESC) which can drive the output of the system power to an optimal value.

To test the performance of the proposed algorithms, FAST, an open-source software for simulation of the Nonlinear wind turbine model, is used along with Turbsim, which is a full-field, stochastic turbulent wind simulator by the National Renewable Energy Laboratory (NREL). This software can generate a three-dimension wind field. The project will involve both implementing the designed control technique on the FAST NREL 5MW wind turbine prototype using wind from Turbsim as well as rigorously analysing the performance of the proposed algorithms against baseline control and other control techniques used in industrial practice.

 
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Shiv Malhotra

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Ibrahim Rafique

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Jack Saenda

 
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JT Production Management
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