Optimal Reconfiguration Of Active Distribution Network Based On Ant Lion Algorithm Improved

With the gradual depletion of traditional primary energy and the increasingly serious air pollution,photovoltaic power generation and wind power generation are developing rapidly.The development and utilization of clean energy has brought huge economic and environmental benefits for people.Compared with fossil fuels,clean energy has no noise,pollution emission and even less risk of depletion.However,the clean energy,especially solar energy,wind energy and other resources are limited by the environmental conditions,the location is relatively scattered,and most of them are used by independent small power generation devices,namely distributed generation(DG).As an effective means to absorb new energy such as wind energy,solar energy and biomass energy,distributed generation has been widely used.The grid connection of distributed generation makes the distribution network from a single network to a multi-source radial network,and the flow direction is no longer single,which brings more uncertainty to the safe and reliable operation of the distribution network.In order to deal with the challenges brought by distributed generation,active distribution network has become the development trend of future distribution network because of its ability of active control and management of distributed generation.The access of distributed generation brings more choices to the optimization and reconfiguration of distribution network.In this paper,ant lion optimization algorithm is used to solve the problem of distribution network reconfiguration,and a multi constraint,nonlinear mathematical model is established with the minimum active power loss and the optimal static voltage stability as the objective function.Considering the influence of PQ,PI,PQV and PV on power flow calculation,the forward backward substitution method considering voltage offset is used to calculate power flow distribution.Aiming at the problem that ant lion algorithm has insufficient global optimization ability,chaos search mechanism and particle swarm optimization idea are introduced to improve its global search ability.On this basis,the judgment of solutions is divided into three categories,and then the idea of dual core optimization is introduced.In the two kinds of population,the solutions are treated differently to form the feasible solution population and the infeasible solution population.The feasible solution population adopts particle swarm optimization mechanism,and the infeasible solution population adopts gravitational search mechanism.The two populations match each other and seek the optimization together.Finally,taking the American PG & E69 bus system with four different types of distributed generation as an example,the original ant lion algorithm,the improved ant lion algorithm and the dual core ant lion algorithm are compared to verify the feasibility of the three algorithms in solving the active distribution network reconfiguration.