基于混沌粒子群算法的大型水电站自动电压控制优化研究.doc

文档介绍：
基于混沌粒子群算法的大型水电站自动电
压控制优化研究#
余明明,周建中**
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(华中科技大学水电与数字化工程学院,湖北武汉 430074)
摘要:针对大型水电站自动电压控制具有多约束、非线性、实时性强等特点,提出一种基于
混沌粒子群算法的大型水电站自动电压控制优化方法。采用灵敏度分析法快速准确获得为消
除母线电压实时偏差所需调节的电站总无功功率;在考虑端电压以及发电机定子与转子电流
的容许范围的前提下,利用混沌粒子群算法求解大型水电站无功优化分配模型,获得最优开
机机组间的无功负荷分配,有效提高了实时求解速度和精度。以三峡水电站为工程应用背景
进行了实例研究,并与传统的无功功率分配方法进行比较分析,仿真结果表明,本文所提方
法可快速准确制定无功功率优化分配方案,并能够最大限度地降低变压器损耗。
关键词:水利水电工程;混沌粒子群算法;自动电压控制;无功优化分配;
中图分类号:+1
The Study of Automatic Voltage Control in large-scale
Hydro Power Station based on Chaos Particle Swarm
Optimization
YU Mingming, ZHOU Jianzhong
(School of Hydropower and Information Engineering,Huazhong University of Science and
Technology,Wuhan 430074,China)
Abstract: For the Automatic Voltage Control of large-scale Hydro Power Station, which has the
characteristics of high-dimension, non-linearity and strong real-time property, A chaos particle
swarm optimization algorithm is presented for the automatic voltage control in large-scale hydro
power station. Sensitive method is used to calculate the total amount of reactive power of the
Hydro Power Station needed to eliminate the bus voltage bias. The chaos particle swarm
optimization is used to solve the reactive power dispatching problem in large-scale Hydro Power
Station in order to acquire the optimum reactive power dispatching plan among on-line units, with
the permissib