Research on Planning of AC/DC Hybrid Distribution Network Based on Improved Particle Swarm Optimization Algorithm
With the rapid increase of power supply and load in the power grid,the AC/DC hybrid in the power grid becomes a new form of the power grid.Therefore,the distribution network planning is more complicated,and the planning of AC/DC hy-brid distribution network based on improved particle swarm algorithm is proposed.With the goal of cost minimization,the up-per planning objective function and the lower planning objective function are constructed.Based on the improved particle swarm algorithm,the energy at the potential well is used as the core to determine the best position of particles to move in the potential well.We ensure the convergence of upper and lower parameter transfers,obtain the global optimal solution,and realize the u-nification of two-layer association.The dominance function under the constraint of unworkability is used to realize the diversity of distribution network planning and decomposition.The congestion distance of adjacent particles is calculated,by searching feasible solutions for distribution network planning,distribution network planning results are obtained.The experimental re-sults show that the planned planning method is 950 kW higher than the actual value maximum,wind power data is 310 kW low-er than the actual value maximum,and load is 95 kW lower than the actual value maximum,which is consistent with the ideal planning effect.
improved particle swarm optimization algorithmAC and DChybrid distribution network planningdouble layer association unification
万方数据
维普
