Siting and Sizing Method of GFM Converters Based on Genetic Algorithm

• DOI: 10.3390/inventions10010013
• Publication Date: 2025-02-03T17:18:56Z
• Authors: Wentao Sun; Yi Ge; Guojing Liu; Hui Cai; Quanquan Wang; Xingning Han; Wanchun Qi
• Keywords: Technological innovations. Automation; Engineering machinery, tools, and implements; RES; siting and sizing; grid-following converter; HD45-45.2; genetic algorithm; TA213-215; short circuit ratio

The rising integration of renewable energy sources has resulted in a diminished capacity for voltage support within the system, which is characterized by low inertia and reduced short circuit ratio (SCR). In order to improve grid strength enhance integration, an initial analysis was conducted on capabilities grid-forming (GFM) stations, followed investigation into how influences dominant operational modes GFM converters. Subsequently, leveraging definition multi-infeed ratio, calculation method SCR, applicable new base stations featuring substations, developed. Additionally, strategic approach optimal location selection sizing these substations aimed at enhancing SCR grids proposed, with model being solved through genetic algorithms. Finally, effectiveness proposed verified based IEEE39-node system real station. results show that greatly improved after optimized configuration equipment, maximum tolerable space 90% reaches 95% theoretical each