Transmission　network　expansion　planning　is　a　complicated,　multi-objective,　nonlinear　and　combinatorial　optimization　issue.　Aiming　at　the　problem　that　genetic　algorithm　possesses　the　slow　convergence　speed　and　easily　plunges　in　part　convergence　when　solving　the　model　of　the　transmission　network　expansion　planning,　this　paper　proposes　a　method　of　transmission　network　expansion　planning　based　on　improved　quantum　genetic　algorithm.　On　the　basis　of　the　quantum　genetic　algorithm,　the　method　proposes　a　strategy　that　the　quantum　chromosomes　are　directly　compared　with　the　current　best　solution　to　determine　the　rotating　angle　of　the　rotating　gate.　The　strategy　ensures　every　individual　in　population　evolves　with　different　convergence　speed　to　complete　both　local　and　global　search.　Simultaneously,　the　whole　interference　crossover　operation　and　negater　mutation　operation　are　put　forward　to　prevent　the　algorithm　plunging　in　part　convergence.　Three　kinds　of　improvement　strategies　are　targeted　and　can　effectively　improve　the　convergence　function　of　quantum　genetic　algorithm　in　the　planning　for　transmission　network　expansion.　The　transmission　network　expansion　planning　for　Garver-6　system　is　performed　by　genetic　algorithm,　quantum　genetic　algorithm　and　the　proposed　method　respectively.　The　result　shows　that　the　method　has　good　global　optimum　capability,　and　the　convergence　speed　is　obviously　improved.