【作者】 李子韵；

【导师】 丁晓群；

【作者基本信息】 河海大学 ， 电力系统及其自动化， 2003， 硕士

【摘要】 本文主要分析了配电网基本结构，配电网现状及发展趋势，结合配电网特点，研究了免疫算法在配电网电容器配置中的应用。针对实际配电网具体情况得出配电网电容器配置的数学模型。仿真计算得出电容器配置方案，并对电容器进行合理分组，经过分析得出该配置方案可行而且经济。同时，本文对遗传算法和免疫算法的收敛性进行比较，得出免疫算法收敛性较好，收敛速度快。 配电网络的复杂，以往的优化算法在解决配电网电容器配置问题时由于算法的缺陷，往往缺乏足够的优化手段。免疫算法在模拟人类免疫反应过程中具有较大的优势，且解决了控制变量是离散变量的问题。经过验证，证明该算法在解决配电网电容器配置问题上具有较大的优势。更多还原

【Abstract】 This paper analysed the framework of distribution network,the actuality and the development direction of distribution network mainly. Appling immune algorithm to optimum disposal of shunt capacitors on distribution network was studied according to reality.Methodology of shunt, capacitors disposal on distribution network is presented and optimum capacitors disposal program was got through simulation arithmetic.This paper presented a practical capacitors grouping program also.These programs were validated practial and economical.By comparing the astringency of immume algorithm to genetic algorithm the conclution that immune algoritnm has faster caculation speed and better global convergence ability in optimum disposal of shunt capacitors on distribution network was got.As for the complexity of distribution network,some old optimum algorithm always have a lot of defects and not enough optimum methodlmmune algorithm has much advantages in imitating human immune reaction.It resolved the problem of discrete control variable.All of aheaded validated appling immune algorithm on optimum capacitors disposal of distribution network is practical and preeminent更多还原