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Comparative Study of Optimization Techniques for Renewable Energy System

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Abstract

There is a sudden fluctuations in wind speed and change of direction that affects the generator speed thus power generation of wind turbine system, so a controller like maximum power point tracking (MPPT) algorithm is essential in tracking the maximum power out of the available wind speed. MPPT algorithm can be classified into two categories such as with and without sensor as well as according to the algorithms used to find the maximum peak. A comparative analysis of different types of MPPT control methods on the basis of different speed responses and ability to obtain maximum power has been conducted. The literature based on the simulation results points out that the optimal torque control is a better MPPT control method for achieving the maximum power from wind turbine energy system against the most frequently used perturb and observe (P&O) method. The P&O method on the other hand is flexible and easy to implement but provide fluctuations about the maximum power point and is less efficient. The different types of MPPT techniques have been studied for wind turbine renewable energy system. The study points out that MPPT may also include of different dc–dc power converter and various control methods, and hybrid renewable energy system can be developed with multi-input energy systems.

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  1. Electrical Engineering Department, National Institute of Technical Teachers Training and Research, Chandigarh, 160019, India

    Mohammad Junaid Khan & Lini Mathew

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Khan, M.J., Mathew, L. Comparative Study of Optimization Techniques for Renewable Energy System. Arch Computat Methods Eng 27, 351–360 (2020). https://doi.org/10.1007/s11831-018-09306-8

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