As　the　number　of　people　using　electric　vehicles　increases　and　the　types　of　electric　vehicles　(EV)　become　more　complex,　the　load　of　electric　vehicle　charging　stations　(EVCS)　is　full　of　uncertainty,　which　may　pose　challenges　to　the　stability　of　the　grid.　This　paper　proposes　a　sparrow　search　algorithm　(SSA)-based　EVCS　with　integrated　wind　power　and　energy　storage　capacity　configuration　model　and　corresponding　operation　strategy,　which　can　find　the　optimal　capacity　allocation　more　efficiently,　reduce　the　peak　load　of　EVCS,　avoid　some　fluctuations,　and　obtain　certain　benefits　(or　reduce　certain　losses).　Simulation　results　verify　the　feasibility　of　the　proposed　theory.　At　the　same　time,　the　use　of　second-hand　batteries　improves　the　economy　of　the　system　and　solves　the　recycling　problem　of　used　electric　vehicle　power　batteries.　©　2021　IEEE