Abstract

In this paper, a control scheme is proposed for maximum power point tracking (MPPT) in a variable speed standalone wind energy conversion system (WECS) with permanent magnet synchronous generator. A MPPT algorithm is designed trying to eliminate the main deficiency of the conventional perturbation and observation (P&O) method, which is the challenge of choosing a proper step size and the unwanted trade-off between accuracy and speed. The designed algorithm properly addresses this drawback and significantly improves the MPPT performance. Another important issue is to ensure fast and accurate tracking of the optimal reference point obtained from the MPPT algorithm and improve the performance and efficiency of the control system for transferring maximum possible power to the load. To this end, a Vienna rectifier is used in the designed WECS and a multiobjective model predictive control scheme is designed to properly control the converter with fast response, high accuracy, and, at the same time, the lowest possible switching frequency. The performance of the proposed control scheme has been studied for two different wind speed profiles with different behaviors. Moreover, a comparison is made between the proposed MPPT algorithm and the conventional P&O method. The results support the proper performance of the proposed system in extraction and transfer of the maximum possible power from the wind to the load. This aim is achieved because of the significant advantages of the designed system in terms of fast and accurate tracking of the optimal point and having higher efficiency.

Highlights

  • There are various forms of renewable energy resources and wind energy is undoubtedly among the most important and promising ones

  • A control structure is proposed for a standalone wind energy conversion system (WECS). This control scheme includes an improved maximum power point tracking (MPPT) algorithm, which eliminates the aforementioned problems of the perturbation and observation (P&O) method in the case of tracking the optimum point

  • The system is designed based on a Vienna rectifier because of its high efficiency and good performance, and it is controlled by a multiobjective Model predictive control (MPC) strategy for fast and accurate tracking of the optimal reference point obtained from the MPPT algorithm

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Summary

Introduction

There are various forms of renewable energy resources and wind energy is undoubtedly among the most important and promising ones. The P&O search algorithm is widely utilized in order to implement MPPT in WECSs [12, 13] This algorithm is simple since prior knowledge of the parametric values or wind speed measurements is not required [1, 7]. A control structure is proposed for a standalone WECS This control scheme includes an improved MPPT algorithm, which eliminates the aforementioned problems of the P&O method in the case of tracking the optimum point. The system is designed based on a Vienna rectifier because of its high efficiency and good performance, and it is controlled by a multiobjective MPC strategy for fast and accurate tracking of the optimal reference point obtained from the MPPT algorithm. The proposed control scheme shows great performance and is advantageous compared to conventional approaches in terms of extracting the maximum possible power and transferring it to the load by providing fast and accurate response, especially for wind speed profiles with fast variations

System configuration and modeling
Vienna rectifier modeling
Proposed control scheme
Proposed MPPT algorithm
Wind speed estimation
Predictive control of Vienna rectifier
Conclusion
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