Distribution Network Reconfiguration Based on Multi-Agent Taboo Immune Algorithm
This paper proposes a distribution network reconfiguration strategy based on multi-agent taboo immune algorithm.Firstly,multi-agent co-taboo method is applied to form the initial antibody population,in which the radiation network constraints are used for the limit of the initial solution formation,so a large number of infeasible solutions are ruled out,the search space is effectively narrowed,and search efficiency is improved.Then the immune optimization is adopted to update the antibody population evolution,and the dynamic coordination of the agents in the process of optimization can make the algorithm converge as soon as possible,effectively maintain the population diversity,and avoid algorithm premature convergence.The calculation example was made on 33-node distribution network reconfiguration,and the simulation results have verified the validity and high computing efficiency of the proposed algorithm.
distribution network reconfigurationimmune algorithmmulti-agent systemco-taboo search
NETL
NSTL
万方数据
维普
