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水力发电学报 ›› 2022, Vol. 41 ›› Issue (7): 85-94.doi: 10.11660/slfdxb.20220709

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基于群论的三峡电厂机组负荷分配算法研究

  

  • 出版日期:2022-07-25 发布日期:2022-07-25

Study on unit commitment algorithm of Three Gorges hydropower plant based on group theory

  • Online:2022-07-25 Published:2022-07-25

摘要: 水电站厂内经济运行是一项提高水能利用效率的节能措施。厂内机组负荷分配以耗流量最小为准则,一般用动态规划方法求解。三峡电厂机组数目较多,承担负荷较大,采用动态规划求解易出现维数灾问题。本文提出基于群论的机组组合降维方法,将三峡电厂机组按运行特性分组,基于Burnside计数定理计算本质不同机组运行状态组合数及相应运行状态组合,降维后再采用动态规划法进行时间-空间优化求解。将该模型算法应用于三峡电厂厂内经济运行,结果表明,该方法能够有效降低计算量,快速响应水电系统运行工况。

关键词: 机组负荷分配, 动态规划, 维数灾, 群论

Abstract: Economical operation of a hydropower station is an energy-saving measure to improve water energy utilization efficiency. The load distribution of units in the plant is based on the minimum water consumption, and generally solved using dynamic programming. The Three Gorges hydropower plant features a large number of units and bears a large load; the problem of dimension disaster would easily occur if dynamic programming is adopted. This paper develops a dimensionality reduction method for unit commitment problem based on the group theory. We group the plant’s units by operation characteristics, and calculate the number of essentially different startup and shutdown state combinations and the corresponding combinations based on the Burnside lemma. Then, we use dynamic programming to solve the time-space optimization after dimensionality reduction. Application of this new method to the economical operation of the plant shows it reduces computational cost significantly and responds quickly to the change in the operating conditions of the hydropower system.

Key words: unit commitment, dynamic programming, dimension disaster, group theory

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