With　the　increasingly　opening　in　electricity　market,　the　maturing　of　distributed　generation　(DG)　technology　and　the　proposing　and　completing　of　related　policies　and　regulations,　regional　energy　supplier　is　stimulated　to　build　distributed　generation.　This　paper　proposes　a　bi-level　programming　model　of　active　distribution　network　considering　the　benefit　of　regional　energy　supplier.　The　maximization　of　comprehensive　benefit　of　regional　energy　supplier　is　taken　as　the　objective　of　upper　level,　and　the　lower　level　is　optimized　for　each　scene,　which　considered　the　uncertainties　of　distributed　generation　output　and　load,　as　well　as　four　active　management　measures　including　regulating　reactive　power　compensation　capacity,　curtailing　the　output　power　of　DG,　regulating　the　on-load　tap　changer　and　demand-side　management.　A　hybrid　strategy　combining　harmony　search　strategy　and　particle　swarm　optimization　is　proposed　to　solve　the　model.　The　model　and　algorithm　is　tested　with　IEEE-33　node　system.　The　simulation　results　show　that　the　model　and　algorithm　in　this　paper　can　increase　the　capacity　of　DG　and　comprehensive　benefit　of　regional　energy　supplier.　©　2017,　Power　System　Technology　Press.　All　right　reserved.