A MST-based and new GA supported distribution network planning

Abstract

After Optimal distribution substation locating, distribution feeder line planning remains the main problem in distribution system planning. Therefore, a MST-based and new GA algorithm for distribution network optimal planning is presented. To reduce computational time and avoid infeasible solution, two new operators are introduced to ensure that all individuals are feasible solution. Meanwhile, an electricity distribution network structure and feeder cross-sectional area selection simultaneous optimization model is adopted to deal with the weight of the minimal-cost system tree. This Combinatorial coding guaranties the validity of solution towards globe optimum. Finally, The method is examined in one real MV distribution network example.