Synergetic-PI controller based on genetic algorithm for DPC-PWM strategy of a multi-rotor wind power system

Abstract

This work designs a powerful new nonlinear method using synergetic control (SC), proportional-integral (PI) controller, and genetic algorithm (GA) for multi-rotor wind energy (MRWE) conversion systems, whereby an asynchronous generator is used to achieve optimal energy extraction. The direct power control (DPC) is used based on the proposed synergetic-PI-GA (SPI-GA) method to control the generator in a MRWE system, where this new nonlinear technique is used to achieve stable control characteristic under random changes in wind speed and to provide great robustness against modeling uncertainties. Moreover, the pulse width modulation (PWM) technique is used to control the generator inverter due to its simplicity and ease of implementation. In this proposed DPC-SPI-GA method, we need to measure current and voltage to estimate the active power and the reactive power. Also, inner loops are not used in this proposed DPC-SPI-GA method as is the case in the field-oriented control (FOC) method, where the proposed system in this work is characterized by an integrated structure. Three different tests are proposed to study and verify the behavior of the designed DPC-SPI-GA strategy compared to the DPC technique.