Direct Power Control Optimization for Doubly Fed Induction Generator Based Wind Turbine Systems

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.

Bacteria foraging optimisation algorithm based optimal control for doubly‐fed induction generator wind energy system

“…The GAO method is implemented using the following parameters [2]: population size: 10 selection: roulette wheel cross‐over rate: 0.8 mutation rate: 0.01 generations: 100 population type: double …”

“…is the voltage tracking error. The control, at the RSC, consists on regulating the rotor currents, which allows controlling the active and reactive power of the DFIG stator as can be deduced from (2). The control law, derived from the state model (1), includes the PI controller and the compensation term such as…”

“…In DFIG wind energy systems, the power converter unit has a back‐to‐back configuration of two converters called the rotor side converter (RSC) and the grid side converter (GSC). The RSC generates the required active and reactive power at the stator terminals by providing the required magnetisation current waveforms in the rotor windings [2]. Therefore, it ensures the control of the stator active and reactive power by controlling the rotor current components for maximum power extraction and desired power factor [3].…”

“…The GSC regulates the dc‐link voltage and the grid current components for maximum power transfer from the rotor to the grid under the desired power factor. Furthermore, it can also be used to compensate for reactive power or to remove reactive power pulse under unstable conditions [2]. As multiple controllers are operating simultaneously, the performance of the DFIG wind energy system relies on the selection of the control parameters.…”

Direct Voltage Control of a Doubly Fed Induction Generator by Means of Optimal Strategy

“…where, NP D and DP D are, respectively, the numerator and denominator of the developed power from Equation (20). From Equation (54), the partial derivative of the developed power P D is obtained as a function of slip, s. In this calculation, A D and B D are considered as defined in Equations (9) and (10).…”