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改进遗传算法在水电站厂内AGC及AVC中的应用研究

Study on AGC and AVC of Hydropower Station Based on Improved Genetic Algorithm

【作者】 张宇峰

【导师】 王德意; 贾嵘;

【作者基本信息】 西安理工大学 , 水利水电工程, 2004, 硕士

【摘要】 水电站厂内AGC、AVC是控制电站向电力系统提供有功功率和无功功率的重要软件,对保证电能质量起到至关重要的作用。传统的水电站厂内AGC、AVC控制软件的算法不能够很好的满足控制要求,而蓬勃发展的智能控制理论为解决这一问题提供了新的思路。 本文在介绍了已应用于水电站厂内AGC、AVC控制软件的算法和智能控制理论、特别是遗传算法理论的基础上,引入了一种基于遗传算法的用来求解多约束条件混合非线性函数优化问题的较好方法,并详细介绍了这种基于直接比较—比例方法的浮点数编码遗传算法(DCPM-FGA)。该方法有效的解决了优化问题中对约束条件的处理,并使遗传算法寻优能力有较大提高,也具有较好的鲁棒性。结合水电站水轮发电机组特性,运用可变的交叉概率和变异概率,以及适合浮点数编码方式的交叉算子和变异算子,设计了基于DCPM-FGA的水电站厂内AGC、AVC控制软件。 最后,运用所设计的水电站厂内AGC控制软件对某电站进行了多个功率点多工况条件下的实例计算。实例计算结果表明,与等微增率方法相比,基于DCPM-FGA的水电站AGC具有更好的优化品质,能有效降低水量损耗,提高电站的经济效益。

【Abstract】 The AGC and AVC of hydropower station are very important and complex softwares that control hydropower station in providing power to electric system, and play an important role in ensuring the quality of electric energy. The traditional control algorithm in AGC and AVC of hydropower station is not as competent as it appears; however, the developing Intelligent Control (IC) theory provides some new solutions to this problem.At the beginning of this paper, the traditional control algorithm in AGC and AVC of hydropower station and the IC theory, especially the genetic algorithm (GA) theory, are stated. A better method based on GA, which is used to solve nonlinear function optimization under the multi-restrictive conditions, is introduced, and the float encoded genetic algorithm (FGA) based on direct comparison-proportional method (DCPM) is detailed here. The method can deal with multi-restrictive conditions of the optimal problem effectively. It ameliorates searching efficiency of GA, and has strong robustness. With characteristic of a turbine generator, the alterable intercross probability and mutation probability, and with intercross operator and mutation operator that suit the float encoded genetic algorithm, the AGC and AVC software of hydropower station has been designed based on DCPM-FGA.At the end of the dissertation, example calculation is given under multi-loading cases using the AGC software of hydropower station based on DCPM-FGA. The example indicates that the results of DCPM-FGA are small. Comparing with the method of equal differential increment rate, DCPM-FGA has better optimization quality. The AGC software of hydropower station based on DCPM-FGA can reduce water consume, and enhance the economic performance of hydropower stations.

【关键词】 改进遗传算法DCPM水电站AGCAVC
【Key words】 Improved Genetic AlgorithmDCPMHydropower StationAGCAVC
  • 【分类号】TV736
  • 【被引频次】3
  • 【下载频次】286
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