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梯级水电站群中长期优化调度的正交离散微分动态规划方法

冯仲恺 廖胜利 牛文静 程春田 唐建兴 苏华英

中国电机工程学报Issue(18):4635-4644,10.
中国电机工程学报Issue(18):4635-4644,10.DOI:10.13334/j.0258-8013.pcsee.2015.18.009

梯级水电站群中长期优化调度的正交离散微分动态规划方法

Orthogonal Discrete Differential Dynamic Programming for Mid-long Term Optimal Operation of Cascade Hydropower System

冯仲恺 1廖胜利 1牛文静 1程春田 1唐建兴 2苏华英2

作者信息

  • 1. 大连理工大学水电与水信息研究所,辽宁省大连市 116024
  • 2. 贵州电网公司电力调度控制中心,贵州省贵阳市 550000
  • 折叠

摘要

Abstract

ABSTRACT:With the rapid expansion of the huge cascade hydropower system in China, the computing scale of hydro scheduling optimization is undergoing an explosive growth and faces the increasingly severe curse of dimensionality. It is essential to find some novel and effective methods to enhance the computing efficiency. An orthogonal discretedifferential dynamic programming (ODDDP) algorithm for mid-long term optimal operation of cascade hydroplants was proposed. On the basis of classical discrete discrete differential dynamic programming (DDDP), the proposed algorithm took advantage of orthogonal design to choose small but representive state combinations of different plants at each period, which led to a significant reduction in the computation time and memory requirement. The results of Wujiang River show that ODDDP is comparable to DDDP while making a significant reduction in computing time. The ODDDP is an effective algorithm for the mid-long term optimal operation of hydropower system.

关键词

离散微分动态规划/水电站群/优化调度/降维/维数灾/试验设计

Key words

discrete differential dynamic programming (DDDP)/hydropower stations/optimal operation/dimensionality reduction/curse of dimensionality/experiment design

分类

信息技术与安全科学

引用本文复制引用

冯仲恺,廖胜利,牛文静,程春田,唐建兴,苏华英..梯级水电站群中长期优化调度的正交离散微分动态规划方法[J].中国电机工程学报,2015,(18):4635-4644,10.

基金项目

国家自然科学基金重大国际合作项目(51210014);国家重点基础研究发展计划项目(973计划)(2013CB035906)。Project Supported by National Major International Cooperation Foundation of China (51210014) (51210014)

The National Basic Research Program of China (973 Program)(2013CB035906) (973 Program)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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