Aiming　at　the　power　consumption　increase　and　voltage　fluctuation　problems　caused　by　the　large-scale　access　of　renewable　DG(Distributed　Generation)　and　EV(Electric　Vehicle)　to　the　distribution　network,　a　multi-objective　coordinated　and　optimal　allocation　method　of　DG　and　EV　charging　station　is　proposed　based　on　space-time　characteristics　and　demand　response.　By　extracting　the　topology　structure　of　urban　road　network　and　monitoring　the　traffic　flow　of　road　network,　the　OD(Origin-Destination)　matrix　is　backward　deduced　based　on　the　traffic　planning　software　TransCAD,　and　the　trip　probability　matrix　is　constructed　to　describe　users＇　trip　characteristics.　Based　on　the　Monte　Carlo　method,　the　time-space　distribution　characteristics　of　EV　are　simulated,　the　timing　characteristics　of　EV,　DG　and　conventional　load　are　considered,　and　typical　wind-photovoltaic-load　operation　scenarios　are　constructed　based　on　the　improved　K-means　algorithm.　Taking　both　the　grid　side　and　the　user　side　into　account,　a　multi-objective　joint　allocation　model　of　DG　and　EV　charging　station　is　built　with　the　goals　of　comprehensive　benefit,　system　load　fluctuation　and　charging　time　cost,　which　is　solved　by　using　the　improved　particle　swarm　optimization　algorithm.　The　simulation　analysis　is　carried　out　by　combining　the　IEEE　33-bus　distribution　network　and　an　urban　main　road　network　model,　and　the　results　verify　the　validity　and　feasibility　of　the　proposed　model.　©　2021,　Electric　Power　Automation　Equipment　Press.　All　right　reserved.