Enhancing DFIG-based Wind Farm Performance: Virtual Inertia Estimation using Dual Moth Flame Optimization and Additional Frequency Control

In this paper, examine the Virtual Inertia Estimation Method for Doubly Fed Induction Generator (DFIG)-based Wind Farms with Additional Frequency Control. This work is necessitated by the increasing incorporation of renewable energy sources, particularly wind energy, into power systems, which presents challenges associated with grid stability and frequency control. Propose a novel method that combines Dual Moth Flame Optimization with additional frequency control to estimate the virtual inertia and improve the performance of DFIGs in terms of angular frequency and output power. Initially, examine the response characteristics of DFIGs with conventional vector control, using the power system’s inertia as a reference. Proposed method is predicated on the principle of approximative decoupling between DFIGs and system frequency. To demonstrate directly the origin of the virtual moment of inertia, establish a frequency response model for DFIGs with additional frequency control based on the Routh approximation. The proposed method has several advantages over current practices. Initially, Dual Moth Flame Optimization permits precise estimation of the virtual inertia, resulting in enhanced frequency response and grid stability. Second, the decoupling principle enables DFIGs to operate more independently from system frequency fluctuations, thereby mitigating their effect on the entire power systems. The matrix pencil method in conjunction with the least squares algorithm provides a robust and efficient estimation technique for the frequency response characteristics of the wind farms. In terms of angular frequency and output power, the outcomes demonstrate significant enhancements compared to existing methods. For instance, our method reduces frequency deviation by 20% and increases power output by 15% in variable wind conditions.