The　parallel　system　is　a　kind　of　scientific　research　method　based　on　an　artificial　system　and　computational　experiments,　which　can　not　only　reflect　the　dynamic　process　of　the　real　system　but　also　optimize　its　control　process　in　real　time.　Given　the　rapid　development　of　wind　energy　technology,　how　to　shorten　the　development　and　deployment　cycle　and　decrease　the　programming　difficulties　of　wind　energy　conversion　system　(WECS)　are　major　issues　for　improving　the　utilization　of　this　form　of　energy.　In　this　paper,　the　Data　Engine　is　used　as　a　computing　environment　to　form　a　parallel　WECS　for　studying　the　engineering　application　of　WECS.　With　the　support　of　the　programming　methods　of　graphical　component　configurations,　visualization　technology　and　dynamic　reconfiguration　technology,　a　maximum　power　point　tracking　(MPPT)　computing　experiment　of　the　parallel　WECS　is　carried　out.　After　comparing　with　MATLAB　simulation　results,　the　parallel　WECS　is　verified　as　having　good　performance.　The　Data　Engine　is　an　ideal　computing　unit　for　modeling　and　computation　of　the　parallel　system　and　can　establish　a　parallel　relationship　between　the　artificial　system　and　the　real　system　so　as　to　achieve　the　optimal　control　of　WECS.