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自适应对称调和遗传算法在水库中长期发电调度中的应用
引用本文:万星,周建中.自适应对称调和遗传算法在水库中长期发电调度中的应用[J].水科学进展,2007,18(4):598-603.
作者姓名:万星  周建中
作者单位:1.华中科技大学水电学院, 湖北, 武汉, 430074;
摘    要:针对遗传算法存在求解精度与收敛速度间的矛盾,提出一种自适应对称调和遗传新算法。以清江隔河岩水库为例,建立了水库发电最优调度的数学模型,取得了满意的结果。结果分析表明,新的耦合模型避免了网络寻优的盲目性,从而达到最优的拟合效果,有效地提高了预测精度和速度。拓宽了建立中长期负荷预测模型的途径。

关 键 词:对称调和    遗传算法    神经网络    中长期发电调度
文章编号:1001-6791(2007)04-0598-06
收稿时间:2005-11-15
修稿时间:2005-11-152006-10-30

Application of genetic algorithm for self adaptation, symmetry and congruity in reservoir mid-long hydraulic power operation
WAN Xing,ZHOU Jian-zhong.Application of genetic algorithm for self adaptation, symmetry and congruity in reservoir mid-long hydraulic power operation[J].Advances in Water Science,2007,18(4):598-603.
Authors:WAN Xing  ZHOU Jian-zhong
Affiliation:1.Huazhong University of Science and Technology, Wuhan 430074, China;2.Chongqing Jiaotong University, Chongqing 400074, China
Abstract:In allusion to the conflict in solving the precision and constringency speed in genetic algorithm,this paper advances a kind of a new genetic algorithm for self adaptation,symmetry and congruity.Taking GeHeYan reservoir for example,this paper sets up the most suitable optimal model for reservoir hydraulic power operation,which has got satisactory achievements.The result indicates that the new coupling model avoids blindness of network seeking excellence,so as to achieve the most suitable planned integration effect,improve effectively forecast precision and speed,and expand new approach for setting up long or middle term load forecast model.
Keywords:symmetric and harmonious  genetic algorithm  neural networks  mid-long runoff for reservoir power generation run
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