Intrinsic assessment optimization algorithm based doubly fed induction generator based stability analysis of multi machine system [articol]

Abstract

Over the past two decades, the rapid growth of the wind farm, based on the Doubly Field Induction Generator (DFIG) has been found. A DFIG based on this proposed work, introduced a power coordination technique designed for multi machine Offshore Wind Farm (OWF) and the power stability was further explored using the Intrinsic Assessment Optimization Algorithm (IAOA). Control and operation of both Grid Side Converter (GSC) and Rotor Side Converter (RSC) are analyzed. The RSC control loop monitors the maximum wind power and controls flux linkage. The GSC control loop maintains the stable DC voltage between the RSC and GSC and the DC connector voltage. The DFIG is connected in between the rotor terminals and utility grid via common dc link. The GSC is controlled by the DC bus and Alternative Current (AC) power circuits that allow the system to operate in a stable power supply system. An OWF is driven by the dual-power induction generator connected to an electrical network via a High-Voltage Direct Current (HVDC) link is presented for stability improvement using IAOA controller. The IAOA controller is used to provide full control of the offshore wind generation system. The IAOA controller is to effectively mitigate the problem of instability occurred in the offshore wind power generation system which shows the further impact on the stability of power generation in both RSC and GSC respectively. The performance of proposed IAOA strategy is validated through simulation based on Matlab Simulink software.