Building　clean　and　modern　multi-energy　complementary　systems　is　a　direct　path　to　decarbonization　in　energy　sector.　The　introduction　of　hydrogen　energy　with　high　operational　flexibility　enables　the　multi-energy　complementary　system　to　fully　accommodate　renewable　energy.　The　key　issues　of　the　optimization　planning　of　the　wind-photovoltaic-hydrogen　multi-energy　complementary　system　that　need　to　be　solved　are　how　to　finely　characterize　the　carbon　reduction　potential　of　the　system,　consider　the　uncertainty　of　supply　and　demand　in　the　modeling　process,　and　incorporate　the　energy　supply　business　of　electric　vehicles　into　the　planning.　This　study　constructs　optimization　planning　model　with　the　following　three　progressive　stages:　geospatial　suitability　simulation　based　on　geographic　information　system,　uncertainty　analysis　based　on　probabilistic　scene　generation　technology,　and　capacity　configuration　optimization.　Unlike　previous　studies,　this　model　measures　and　optimizes　the　carbon　emissions　level　of　the　system　from　a　lifecycle　perspective.　The　empirical　study　results　indicate　that　carbon　emissions　optimization　from　the　perspective　of　the　entire　life　cycle　would　directly　affect　the　system　configuration　results.　From　a　lifecycle　perspective,　the　carbon　emissions　accounting　result　is　about　9　times　higher　than　that　obtained　only　during　the　operation　phase.　Compared　to　the　traditional　distribution　system,　the　carbon　emissions　of　the　system　constructed　in　this　study　decreased　by　82.75　%.　In　addition,　considering　that　the　system　provides　charging　services　for　electric　vehicles,　which　can　reduce　carbon　emissions　by　about　93.6　%　but　only　increase　costs　by　about　29.4　%.　The　computational　results　justify　the　proposed　optimization　framework.　This　study　provides　optimization　models　for　the　system,　and　the　implementation　framework　can　support　technical　reference　for　practice.