With　the　vigorous　promotion　of　new　energy　sources　and　the　development　of　vehicle-to-grid　(V2G)　technology,　the　influence　of　the　V2G　mode　should　be　considered　in　the　joint　optimal　allocation　of　Distributed　Generation　(DG)　and　electric　vehicle　charging　stations　(EVCSs).　The　timing　characteristics　of　the　intermittent　output　of　DG,　conventional　demand　for　load,　and　charging　load　of　the　electric　vehicle　(EV)　are　considered,　as　is　its　participation　in　grid　interaction　to　examine　the　construction　of　typical　scenarios　and　the　EV　cluster　dispatching　strategy.　From　the　perspective　of　comprehensively　planning　the　coordination　of　the　distribution　network,　a　DG-EVCSs　bi-level　joint　planning　model　is　established　under　the　peak　and　valley　price　mechanism,　with　the　sub-objectives　of　obtaining　a　comprehensive　profit　and　high　quality　of　voltage,　curbing　system　load　fluctuations,　and　satisfactorily　charging　the　EV.　An　improved　harmony　particle　swarm　optimization　algorithm　is　proposed　to　solve　the　bi-level　model.　The　proposed　method　was　tested　on　the　IEEE-33　and　the　PG&E-69　(Pacific　Gas　and　Electric　Company)　bus　distribution　systems,　and　the　results　show　that　the　optimized　configuration　model　that　considers　the　V2G　mode　can　improve　the　overall　performance　of　the　planning　scheme,　promote　the　use　of　clean　energy,　smoothen　the　load　fluctuations　of　the　system,　and　improve　the　quality　of　voltage　and　charging　satisfaction　of　EV　users.