基于引入禁忌表的改进粒子群算法的多目标无功优化研究

Probe into Multi-Objective Reactive Power Optimization Based on Modified Particle Swarm Algorithm with Taboo List

针对无功优化面临的实际问题,建立了融合有功网损、节点电压偏移和无功补偿成本的多目标优化模型。在传统粒子群算法(PSO)的基础上,动态调节惯性权重并引入禁忌搜索算法(TS)的禁忌表,设置灵活存储结构和禁忌准则,保证有效搜索多样化,弥补了全局寻优能力不足、易陷入局部最优的缺点。IEEE14节点系统的仿真结果表明提出的方法具有较好的全局寻优能力和搜索性能。

According to the practical issue of reactive power optimization,this paper established a multi-objective optimization model mixed together with the active power transmission losses,the node voltage deviation and the reactive compensation cost.Based on the traditional particle swarm algorithm,the inertia weight was adaptively adjusted according to the fitness and the taboo list of taboo search algorithm was introduced to set up the flexible storage structure and taboo criterion,so as to ensure the searching effectively,which makes up for the deficiency of the global optimization performance and the defect of falling into local optimum.The simulation result of IEEE14node system shows that the method mentioned above has better global optimization capacity and searching performance.