摘要对配电网进行无功优化是保证配电网安全稳定经济运行的重要方法，它可以提高配电网的电压质量，而且可以较好的减少配电网的网络损耗，对整个电网的规划和调度有着非常重要的影响。在解决无功优化问题时，建立数学模型和优化算法是两个重要任务，其中建立数学模型指的是根据不同的实际问题选择不同的目标函数；而优化计算主要指的是对收敛性和收敛速度进行改善。论文建立的数学模型的目标函数选取的是有功网损最小，数学模型的约束条件有等式约束和不等式约束两种：等式约束有各节点电压，各节点注入有功、无功功率；不等式约束有并联补偿电容量、可调变压器变比、发电机输出无功功率以及发电机机端电压均在各自的上下限之内；遗传算法论文采用的优化方法。应用牛顿-拉夫逊直角坐标法以及遗传算法无功优化分别通过IEEE30节点系统进行分析计算，进一步验证了基于遗传算法的配电网无功优化对提高电压质量，降低配电网的网络损耗等具有很大的意义，更加验证了无功优化在解决多约束、多变量、不连续、非线性问题时较其他方法有比较大的优势。25263
关键词  遗传算法，无功优化，牛顿-拉夫逊直角坐标法
毕业论文设计说明书外文摘要
Title      Reactive power optimization of distribution network based on genetic algorithm                                              
Abstract
Reactive power with reasonable optimization and control of Power system can not only improve the stability of power system, but also effectively reduce network losses and save energy. It ensures the safety and economic operation of power systems and improve the voltage quality. It is important for planning departments on grid reactive power scheduling.
Reactive power optimization focuses on mathematical models and optimization algorithms. The mathematical model is selected depending on the focus of problem-solving. Optimization algorithm is concentrated in improving the calculation speed and improve the convergence performance. This paper selects the active power loss minimum objective function as a mathematical model, the constraints of mathematical model are each node of the injected active and reactive power equality constraint and the node voltage and reactive power of generator output, adjustable transformer ratio, parallel capacitance compensation, the generator terminal voltage within the respective upper and lower limits of the inequality constraints, optimization method using genetic algorithms. Design Cartesian coordinate Newton Raphson power flow calculation method and genetic algorithm matlab calculate the reactive power optimization procedures. Through a numerical example of the IEEE 14 node system, we can draw reactive power optimization based on genetic algorithm can effectively reduce system loss and improve voltage level and verify the algorithm have unique advantages to solve multivariable, nonlinear, discontinuous, multi-constraint problem.
Keywords  reactive power optimization; genetic algorithm;Newton Raphson method
目  录
1  绪论    1
1.1  配电网无功优化的研究背景和意义    1
1.2  配电网无功优化的研究现状    2
1.2.1  经典法    2
1.2.2  线性规划法    3
1.2.3  非线性规划法    3
1.2.4  混合整数规划法    3
1.2.5  模拟进化优化方法    4
1.3  配电网无功优化存在的问题    4 基于遗传算法的配电网无功优化:http://www.youerw.com/zidonghua/lunwen_18951.html