A Novel Immune Genetic Algorithm for Distribution Network Reconfiguration

TLDR: In this paper, a mathematical model for distribution network reconfiguration in which the network loss minimization is taken as objective function is built and a novel immune genetic algorithm is proposed.

Abstract: On the basis of analyzing the insufficiency of genetic algorithm in the solution of distribution network reconfiguration, a mathematical model for distribution network reconfiguration in which the network loss minimization is taken as objective function is built and a novel immune genetic algorithm is proposed. The key of the proposed algorithm lies in the construction of vaccine pool and the design of immune operator. The vaccine pool can be created and updated automatically, and the immune operator consists of vaccination and immunoassay. In addition, the coding method based on the basic loops, hyper-mutation and tournament selection operator with big selection pressure are adopted. Simulation results of IEEE 33-bus system and IEEE 69-bus system show that the proposed algorithm conforms to the feature of distribution network reconfiguration and can effectively suppress both degeneration and fluctuation during the evolution; it possesses fast convergence speed while the quantity of the solution is ensured. Comparing with traditional genetic algorithm and allied algorithms in related literatures, the proposed algorithm is superior in both efficiency and performance.