Although　hydrogen　is　identified　to　be　the　first　choice　of　the　energy　industry　in　the　future　society,　the　severe　shortage　of　hydrogen　infrastructure　hinders　the　development　of　the　hydrogen　economy.　Therefore,　by　simultaneously　integrating　the　planning　and　operation　issues　of　a　hydrogen　supply　chain　network　(HSCN)　and　taking　the　hydrogen　demand　of　hydrogen　fuel　vehicles　into　account,　this　paper　proposes　a　general　optimization　design　model　for　a　HSCN　based　on　the　off-grid　wind-hydrogen　coupling　system　to　realize　the　scientific　layout　of　hydrogen　infrastructure　and　stimulate　the　transition　of　hydrogen　energy.　The　uncertainties　on　both　sides　of　the　source　and　load　of　a　HSCN　are　well-considered.　Therein,　the　uncertainty　of　wind　power　is　handled　with　chance　constrained　programming,　while　the　uncertainty　of　hydrogen　demand　is　addressed　by　a　density-based　clustering　approach.　The　analysis　focuses　on　a　HSCN　of　Fujian　Province,　China　and　case　study　is　conducted.　Results　show　that　the　estimated　hydrogen　demand　in　Fujian　Province　over　the　course　of　a　year　is　0.197　million　tons.　The　hydrogen　production　is　located　in　Fuzhou,　Quanzhou　and　Xiamen　and　the　daily　hydrogen　production　in　Fuzhou　is　309.11　ton/day,　accounting　for　57.48%　of　the　total　hydrogen　production　in　Fujian　Province.　Since　the　revenue　of　the　energy　storage　batteries　cannot　offset　its　high　investment　cost,　the　abnegation　of　the　energy　storage　batteries　in　the　HSCN　is　obtained.　Compared　with　the　deterministic　HSCN,　the　total　cost　of　the　HSCN　considering　the　uncertainties　of　wind　power　and　hydrogen　demand　is　reduced　by　1.35%.　The　Levelized　cost　of　hydrogen　is　3.073-3.155$/kg　and　hydrogen　production　shows　a　significant　scale　effect.　These　results　could　provide　information　and　direction　to　stakeholders,　investors　and　policymakers　for　the　planning　of　the　future　HSCN　in　Fujian　Province　to　promote　the　tremendous　development　of　the　hydrogen　industry.　(C)　2020　Hydrogen　Energy　Publications　LLC.　Published　by　Elsevier　Ltd.　All　rights　reserved.