Abstract: In order to better solve the problems such as large search range and slow convergence speed in the reconfiguration, a reconfiguration model is established aiming at reducing the active power loss and balancing load, and a reconfiguration strategy of distribution network based on improved slime mold algorithm is proposed. Firstly, the prim algorithm is combined with the continuous branch switching algorithm to eliminate the infeasible solutions for the power distribution network with complex topology, which is used as the initial population of slime mould algorithm. Secondly, in order to solve the problem of slime mould algorithm‘s poor convergence speed and easy to fall into local optimal solution, the search threshold and Gaussian disturbance is introduced to improve the convergence speed, and the refraction reverse learning strategy is used to jump out of the local optimal solution. The simulation results show that the reconfiguration method can effectively decrease line active power loss, improve voltage level and balance load of complex distribution networks, and has high accuracy and short iteration time.

Key words: reconfiguration of distribution network')">

reconfiguration of distribution network, improved slime mould algorithm, successive branch- exchange algorithm, Prim algorithm, topological simplification