Abstract
This study presents an intelligent metaheuristics-based design procedure for the Proportional-Integral (PI) controllers tuning in the direct power control scheme for 1.5 MW Doubly Fed Induction Generator (DFIG) based Wind Turbine (WT) systems. The PI controllers’ gains tuning is formulated as a constrained optimization problem under nonlinear and non-smooth operational constraints. Such a formulated tuning problem is efficiently solved by means of the proposed Thermal Exchange Optimization (TEO) algorithm. To evaluate the effectiveness of the introduced TEO metaheuristic, an empirical comparison study with the homologous particle swarm optimization, genetic algorithm, harmony search algorithm, water cycle algorithm, and grasshopper optimization algorithm is achieved. The proposed TEO algorithm is ensured to perform several desired operational characteristics of DFIG for the active/reactive power and DC-link voltage simultaneously. This is performed by solving a multi-objective function optimization problem through a weighted-sum approach. The proposed control strategy is investigated in MATLAB/environment and the results proved the capabilities of the proposed control system in tracking and control under different scenarios. Moreover, a statistical analysis using non-parametric Friedman and Bonferroni–Dunn’s tests demonstrates that the TEO algorithm gives very competitive results in solving global optimization problems in comparison to the other reported metaheuristic algorithms.
Highlights
The increasing consumption of electrical energy, depletion of fossil fuels and the environmental problems related to using the non-renewable sources have promoted a growing interest in renewable energies [1,2]
This work deals with the PI controllers tuning for the active and reactive powers loops in the Rotor Side Converter (RSC) circuit, as well as it treats with the PI controller optimization-based selection of the DC-link voltage loop in the Grid Side Converter (GSC) component
It is worth indicating that the inner current loops in the RSC and GSC are tuned according to the pole assignment method
Summary
The increasing consumption of electrical energy, depletion of fossil fuels and the environmental problems related to using the non-renewable sources have promoted a growing interest in renewable energies [1,2]. The conventional control scheme of the grid connected DFIG wind turbine system is built based on a vector control method [5,6,7,8]. The SFO-based vector control strategy enables a decoupled regulation of the active and reactive powers that is flowing between the DFIG and the grid. The active/reactive powers and current components are regulated by using the PI controllers that are designed using the pole placement technique These methods have presented good performances, the main drawback for this type of control is that the performance of the DFIG system highly depends on a proper tuning of the PI controller gains. Assareh et al [13] proposed a hybrid GA along with a gravitational search algorithm to attain the optimal gains of the PI controller for the torque regulation of a DFIG-based WT system.
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