Aiming　at　the　problem　that　a　large　number　of　electric　vehicles　randomly　connected　to　the　grid　poses　a　huge　challenge　to　the　security　of　the　power　grid,　this　paper　proposes　a　strategy　to　guide　the　orderly　charging　of　electric　vehicles　by　using　the　time-of-use　electricity　price　policy.　Firstly,　an　orderly　charging　scheduling　model　for　electric　vehicles　taking　into　account　the　response　level　to　the　policy　is　constructed.　Then,　a　hybrid　algorithm　combining　Spider　Wasp　Optimization　(SWO)　and　Particle　Swarm　Optimization　(PSO)　is　used　to　optimize　the　peak-valley　electricity　price　period.　Finally,　by　using　the　Monte　Carlo　and　probability　statistics　theory　methods　to　simulate　the　daily　charging　load　of　electric　vehicles,　the　experiment　of　different　response　level　are　carried　out.　And　results　of　different　optimization　methods　for　solving　the　scheduling　model　are　compared.　Comparison　results　show　that　the　proposed　method　achieves　the　smallest　peak　to　valley　difference　with　the　lest　iterations.　The　proposed　method　can　provides　an　effective　strategy　for　peak　shaving　and　valley　filling.　©　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.　2025.