VSG Control of Grid-connected Inverter Based on Improved PSO - Details

author：

Yang, Linjie (Yang, Linjie.) ^[1] | Lin, Qiongbin (Lin, Qiongbin.) ^[2] (Scholars：林琼斌) | Huang, Ruochen (Huang, Ruochen.) ^[3] | Dan, Zhimin (Dan, Zhimin.) ^[4] | Wang, Yaxiong (Wang, Yaxiong.) ^[5] (Scholars：王亚雄)

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Abstract：

Virtual　synchronous　generator　(VSG)　control　technology　can　simulate　the　output　characteristics　of　a　synchronous　generator.　VSG　can　effectively　solve　the　problem　that　the　inertia　and　damping　support　capacity　of　the　grid　decreases　after　a　large-scale　distributed　energy　resource　is　connected　to　the　grid.　However,　the　selection　of　its　control　parameters　is　more　complex.　The　unsuitable　control　parameters　have　a　great　influence　on　the　grid-connection　stability　of　the　inverter.　In　order　to　solve　this　problem,　the　acceleration　factor　is　linearly　changed　based　on　Particle　Swarm　Optimization　(PSO)　algorithm,　and　it　is　used　for　the　optimization　calculation　of　VSG　control　parameters.　The　traditional　VSG　control　method　and　the　optimized　VSG　control　method　with　different　optimization　algorithms　were　compared　and　analyzed　by　Simulink.　The　simulation　results　show　the　effectiveness　and　superiority　of　the　improved　particle　swarm　optimization　algorithm.　©　The　Institution　of　Engineering　&　Technology　2023.

Keyword：

Electric inverters Energy resources Particle swarm optimization (PSO) Synchronous generators Virtual Power Plants

Community：

[ 1 ] [Yang, Linjie]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
[ 2 ] [Lin, Qiongbin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
[ 3 ] [Huang, Ruochen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
[ 4 ] [Dan, Zhimin]Contemporary Amperex Technology Co., Limited, Ningde, China
[ 5 ] [Wang, Yaxiong]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China