Aiming at the problem that traditional particle swarm algorithm is prone to fall into the local optimal solution when solving the optimal power flow problem of electrified highway power supply system,in order to improve the algorithm's global search ability,the Newton-Raphson method was adopted to solve the AC/DC mixed flow alternately and iteratively,and the flow distribution of the pow-er supply system was obtained;A hybrid optimal AC/DC model with the objective of minimizing system loss was proposed,and an improved particle swarm algorithm with linearly decreasing inertia weights and adaptive learning factors was designed.The simulation results show that the improved algorithm converges faster and has higher computational accuracy than the traditional particle swarm algorithm and the linear decreasing weight algorithm.It provides theoretical support and technical reference for the optimal power flow calculation of electrified highway power supply system.
关键词
电气化公路/交直流混合配电网/改进LDW-PSO算法/最优潮流
Key words
electrified highway/hybrid AC/DC distribution grids/improved LDW-PSO algorithm/optimal power flow
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