At　present,　more　electric　vehicles　are　connected　to　the　microgrid,　and　with　the　increase　in　load　uncertainty,　it　can　no　longer　meet　the　new　demand.　In　order　to　establish　a　microgrid　considering　the　long-term　load　growth　at　the　planning　level,　this　paper　analyzes　the　economic　cost　of　microgrid　planning.　Aiming　at　the　uncertainty　of　the　long-term　load　growth,　the　information　gap　decision　theory　is　used　to　simulate　and　coordinate　the　microgrid　planning.　Finally,　the　calculation　example　based　on　an　industrial　park　verifies　that　the　proposed　planning　model　can　help　planning　decision-makers　cope　with　uncertainty　at　the　optimal　cost,　and　studies　the　impact　of　electricity　prices　on　planning.　©　2020　IEEE.