中文摘要：

为了实现对高压直流输电系统PI控制器参数的优化,本文提出了一种针对信息素挥发因子的改进策略以克服蚁群算法易陷于局部最优解的缺陷。改进后的蚁群算法能够根据优化进程自适应地调整信息素挥发因子,在保持较高的收敛速度的情况下提高算法的全局搜索能力。文中基于改进的蚁群算法给出了一种系统化的直流输电PI控制器参数优化方法。根据实际工程参数搭建仿真模型,进行仿真计算,证明了方法的有效性和可行性。

英文摘要：

An improved ant colony optimization algorithm in view of pheromone volatilization factor which can overcome the disadvantage of frequent trapping in local optimum in the traditional ant colony algorithm is proposed in this paper in order to optimize parameters of PI controller in HVDC system. With the function of changing pheromone volatilization factor adaptively based on the optimization process,the improved ant colony optimization algorithm raises the global searching ability while keeping a high convergence rate. A systematic method of optimizing the parameters of PI controller in HVDC system is proposed in this paper based on the improved ant colony algorithm. Finally,through simulation calculation,the effectiveness and the feasibility of the method proposed are proved.