基于改进禁忌搜索法的IEEE30节点系统无功优化

摘要

Introduction was made to the basic principles and methods of reactive power optimization. Analysis was made to the features of reactive power optimization, such as multi-variable, multiple-constraint, non-convex and nonlinear. This paper built the target function with minimum grid losses, which made a compromise between the quality of voltage and the cost of device. The tabu search method in artificial intelligence and its improved algorithm were adopted and the IEEE30 node model was used to program, so as to carry out reactive power optimization for the system at certain definitive time. The results show that this reactive power optimization method can upgrade the economic effectiveness of grid.%介绍了电网无功优化的基本原则及方法，分析了电力系统无功优化多变量、多约束、非凸非线性的特性，建立了网损最小、兼顾电压稳定性和设备费用的目标函数。采用人工智能方法中的禁忌搜索法及其改进算法，利用IEEE30节点模型编制程序，针对某一确定时刻的系统进行无功优化，结果表明，该方法明显提升了电网的经济效益。