改进蚁群算法在动态输电网优化规划中的应用研究

Application of improved ant colony algorithm indynamic transmission network optimization planning

随着城市化持续推进和国民经济的不断增长,既有输电网络逐渐呈现出无法满足用户需求的现象。为此,在电网系统建设初期就应该考虑可行的扩建方案。为了探索蚁群算法在动态输电网扩建规划中的应用,基于改进的蚁群算法,选择在动态输电网规划期内总投资最小作为数学模型的目标函数,引入惩罚因子实现动态输电网投资成本最小化规划的过程,借助MATLAB编程,就改进蚁群算法在IEEE-6节点系统电网优化规划中的应用进行了研究,取得了较好的应用效果。

With the continuous advancement of urbanization and the continuous growth of the national economy,the existing transmission network is gradually unable to meet the needs of users.Therefore,feasible expansion schemes should be considered in the initial stage of power grid system construction.In order to explore the application of ant colony algorithm in the optimal design of dynamic transmission network planning scheme,with the help of MATLAB programming,the application of the improved ant colony algorithm in power grid optimization planning of IEEE-6 node system is studied,and achieves good application results.