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双层交互混合差分进化算法在水库群优化调度中的应用

郑慧涛 梅亚东 胡挺 黄春雷 唐海华

水力发电学报2013,Vol.32Issue(1):54-62,9.
水力发电学报2013,Vol.32Issue(1):54-62,9.

双层交互混合差分进化算法在水库群优化调度中的应用

Double-tier interaction shuffled differential evolution algorithm and its application to optimal operation of cascade reservoirs

郑慧涛 1梅亚东 1胡挺 1黄春雷 2唐海华2

作者信息

  • 1. 武汉大学水资源与水电工程科学国家重点实验室,武汉430072
  • 2. 国网电力科学研究院,南京 210003
  • 折叠

摘要

Abstract

This paper develops an algorithm of double-tier interaction shuffled differential evolution (DISDE) for optimal operation of cascade reservoirs to avoid performance degradation and local trapping of a regular differential evolution algorithm. This new algorithm integrates the regular global search ability and the local search ability of shuffled frog leaping algorithm, and guarantees a diversity of particles on its upper layer quipped with the niche technology and a local searching ability on its lower layer quipped with independent population evolutionary and regular correspondence. In the overall functions, the lower layer provides high-quality solution of different structures to the layer upon it, and searching information updating is completed by information interaction between the double-tier structure. Comparison with the regular differential evolution algorithm and dynamic programming of successive approximation, shows the efficiency and superiority of the new algorithm in optimization of cascade reservoirs operation.

关键词

水库管理/水库群/优化调度/差分进化算法/混合蛙跳算法/双层交互

Key words

reservoirs management/ hydropower engineering/ optimal operation/ differential evolution algorithm/ shuffled frog leaping algorithm/ double-tier interaction

分类

建筑与水利

引用本文复制引用

郑慧涛,梅亚东,胡挺,黄春雷,唐海华..双层交互混合差分进化算法在水库群优化调度中的应用[J].水力发电学报,2013,32(1):54-62,9.

基金项目

国家自然科学基金重点课题(50839005) (50839005)

水力发电学报

OA北大核心CSCDCSTPCD

1003-1243

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