The　calculation　method　of　expansion　cost　for　the　weakly　meshed　distribution　network　was　derived　by　introducing　the　shunt　coefficient　matrix.　The　electricity　energy,　expansion　cost　and　power　loss　produced　by　DG　integration　were　considered　by　the　objective　function　and　the　capacity　proportion　of　environment-friendly　DG　integration　was　required　in　the　constraints.　Based　on　the　above　analysis,　a　DG　programming　model　in　view　of　time　series　correlation　of　wind-light-load　was　established.　The　Improved　Latin　hypercube　sampling　method　taking　into　account　changing　intervals　of　correlation　(CI-LHS)　and　the　particle　swarm　optimization　algorithm　were　utilized　to　solve　the　DG　programming　model.　Compared　to　different　scenarios,　the　rationality　and　validity　of　the　model　for　DG　planning　in　terms　of　CI-LHS　were　demonstrated.　©　2017,　Editorial　Board　of　Acta　Energiae　Solaris　Sinica.　All　right　reserved.