###
工程科学与技术:2016,48(5):21-27
←前一篇   |   后一篇→
本文二维码信息
码上扫一扫!
基于遗传模拟的水库发电优化调度模型及应用
(1.南京水利科学研究院 水文水资源与水利工程科学国家重点实验室;2.合肥工业大学 土木与水利工程学院)
Hydropower Reservoir Optimal Operation Model Combining Simulation Rules and Genetic Algorithm
(1.State Key Lab. of Hydrology Water Resources and Hydraulic Eng.,Nanjing Hydraulic Research Insti.;2.School of Civil Eng.,Hefei Univ. of Technology)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1451次   下载 365
投稿时间:2015-12-25    修订日期:2016-05-03
中文摘要: 为快速高效绘制适宜性强、效益高、便于操作的水库发电调度图,以常规发电调度图运行方式(时历法)作为模拟规则,以保证出力保证率满足前提下发电量最大为目标函数,借助实码加速遗传算法的并行计算能力,把调度图绘制(模拟规则)与有效性检验(智能优化)结合起来,建立水库发电优化调度模型。作为实例,应用该模型于中国某大型年调节水电站优化调度图绘制中。结果表明:该模型是有效的,可以考虑下游生态需水等水电站优化调度若干复杂约束条件与水库管理者的经验(常规调度绘制方法不能),调度图更符合实际;把调度图的绘制与有效性检验结合起来,得出的调度图无需再检验,较常规方法更为快速高效;利用了遗传算法的并行计算能力,可快速获得满足保证出力要求的多组优化调度方案(调度图),决策信息更加丰富。
Abstract:Operating rules curves are the most commonly used tools for reservoirs management.A novel model,called hydropower reservoir optimal operation model combining simulation rules and genetic algorithm(hereafter referred to as a HROO SRGA) was set up, which combines two processes of the formulating of the operating rule curves and their validity check.HROO SRGA can get a set of satisfying reservoir operating rule curves which can consider the constraints of downstream the river ecological water requirement and guaranteed rate of guaranteed output of hydropower plant.This model was applied to a large annual storage plant in China,and the results showed that the proposed method is effective and can obtain many scheduling schemes which their capacity reliability and capacity are much higher than that of conventional operating rule curves did.
文章编号:201501391     中图分类号:    文献标志码:
基金项目:国家自然科学基金面上资助项目(51279223);国家自然科学基金面上资助项目(51479119);水利部公益性行业科研专项经费资助项目(201301003)
作者简介:
引用文本:
王宗志,刘克琳,程亮,金菊良.基于遗传模拟的水库发电优化调度模型及应用[J].工程科学与技术,2016,48(5):21-27.
Wang Zongzhi,Liu Kelin,Cheng Liang,Jin Juliang.Hydropower Reservoir Optimal Operation Model Combining Simulation Rules and Genetic Algorithm[J].Advanced Engineering Sciences,2016,48(5):21-27.