文档介绍：Study on Reactive Power Optimization Based on the Improved ic Algorithm A Dissertation Submitted for the Degree of Master On Control Engineering By Li Xuezhi Under the Supervision of Wenlong and Haiyan Schoolof Information Engineering Nanchang Hangkong University, Nanchang, China June, 2012 南昌航空大学硕士学位论文摘要 I 摘要随着电力系统规模的扩大和电网结构的愈来愈复杂,无功优化在电力系统中的应用受到越来越多的重视。它不仅可以预防事故的发生或扩大、改善电压的质量、降低系统网损,而且在保证系统的安全、稳定以及经济运行都起着非常重要的作用。传统无功优化算法依赖精确的数学模型,存在对优化函数要求很高,容易陷入局部最优,不能精确处理离散变量等缺陷,为了解决这一问题,科研人员把智能优化算法引入到无功优化中去。在全面掌握各种优化算法在当前电力系统中的应用基础上,本文系统总结了传统算法和智能算法在无功优化中的应用,分析了它们各自优缺点。为了提高计算效率和求得最优解,本文对无功优化的目标函数、求解算法做了较为深入的研究,提出了改进遗传算法在无功优化中的应用。本文数学模型参考通用数学模型,建立以系统有功网损最小为主,同时结合电网安全运行,引入状态变量按0、1分布变化方式进行处理的罚函数的目标函数。简单遗传算法在电力系统中的应用存在收敛速度慢和易陷入局部最优等缺点,对控制变量的处理也存较大误差。鉴于此,本文对简单遗传算法进行了改进, 对离散变量的处理采用混合编码方式,提出自适应的交叉和变异操作,以便种群多样性的增加,产生更多优秀个体。本文使用Matlab编写了改进遗传算法的无功优化程序,分别对两个节点系统进行了无功优化的仿真,经过对比分析结果表明,与简单遗传算法相比,改进后的遗传算法全局搜索能力增强,收敛速度得到提高,证明了改进遗传算法在无功优化中的应用的有效性和正确性。关键词:无功优化,潮流计算,改进遗传算法南昌航空大学硕士学位论文英文摘要 II Abstract With the expansion of the scale of power systems and grid structure ing plex, reactive power optimization in power system gradually attracts people's attention. It can not only effectively reduce the power loss of the system, but also improve the voltage quality, security, stability and economic operation of the system has very important significance. Traditional reactive power optimization algorithm relies on a precise mathematical model,there are high demands to the the objective function. It easily fall into local optimum,and can not accurately deal with discrete variables, and other solve this problem, researchers introduceintelligent optimization algorithms to the optimization of reactive power. Complete control of a variety of optimization algorithms in the application on the basis of the current power system, the thesissystematically summarizes the application of the traditional algorithms and