Optimal Tuning of Proportional Integral Controller using Graylag Goose Optimization Algorithm for Control of Permanent Magnet Synchronous Generator-based Wind Turbine with Tip Speed Ratio for Maximum Power Point Tracking

Musa Abdullahi, Sani Salisu, Musa Muhammed, Abdulkadir Kabir, Isah Usman Yusuf

Abstract


This research presented the Maximum Power Point Tracking (MPPT) control of Permanent Magnet Synchronous Generator (PMSG) based Wind Energy Conversion (WEC) system using Graylag Goose Optimization (GGO) algorithm for effective Maximum Power Point Tracking (MPPT) under different wind speed profiles. Owing to the dynamic nature of the wind, inconsistent wind speed affects the output power quality of the wind energy conversion system. Therefore, for variable speed wind turbine systems, a generator side converter is usually connected to the generator to help ensure that when there are changes in the wind speed, the converter alters the generator speed to help track the maximum for that wind speed.This research presents the development of a Maximum Power Point Tracking (MPPT) control of Permanent Magnet Synchronous Generator-based Wind Energy Conversion (WEC) system using GGO algorithm to address this issue. To achieve this, a PMSG based WECS equipped with its Proportional Integral (PI) MPPT was developed in Simulink. PI- MPPT based was designed and GGO technique was employed to optimize the gain parameters of PI in order to enhance its performance. Simulation and performance evaluation of the developed maximum power point tracking control of PMSG-based WEC system in MATLAB/Simulink 2023b. The results were compared with existing steering system that  utilized the PMSG based WECS equipped with PSO-PI MPPT using electromagnetic torque and deviations of the generator speed performance as metrics. Results obtained in terms of electromagnetic torque showed that the MPPT control of PMSG based WEC system using GGO algorithm outperforms the existing scheme by 15.39% and 29.48% in speed deviation respectively.


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