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流域梯级水库群多目标优化调度方法及应用

卢鹏 周鹏程 韩兵 杨开斌

云南水力发电2024,Vol.40Issue(9):175-182,8.
云南水力发电2024,Vol.40Issue(9):175-182,8.DOI:10.3969/j.issn.1006-3951.2024.09.041

流域梯级水库群多目标优化调度方法及应用

Multi-objective Optimal Scheduling Method for Cascade Reservoirs and Its Application Practice

卢鹏 1周鹏程 1韩兵 1杨开斌1

作者信息

  • 1. 中国电建集团昆明勘测设计研究院有限公司,云南 昆明 650051
  • 折叠

摘要

Abstract

In order to effectively solve the typical large-scale,strongly coupled,multi-objective and multi-constraint complex nonlinear optimization problem of cascade reservoir,a parallel multi-objective optimal scheduling method based on enhanced multi-objective bee colony algorithm(EMOBCO)is proposed in this paper.With the objectives of maximum total power generation,and maximum minimum output during operation period,a multi-objective power optimization scheduling model of cascade reservoir was established,and EMOBCO algorithm and heuristic constraint processing strategy were used to optimize the model.By introducing Fork/Join parallel computing framework to decouple the model solving process,the model solving efficiency is improved effectively.This paper analyzes the adaptability of the multi-objective optimal scheduling method for cascade reservoir in Nam Ou River basin of Laos.Simulation results show that the proposed EMOBCO algorithm has a good distribution of non-inferior scheme sets and high execution efficiency,which provides a useful idea for solving the multi-objective joint optimal scheduling problem of cascade reservoir.

关键词

梯级水库群/多目标调度/蜂群算法/并行计算

Key words

cascade reservoir group/multi-objective scheduling/bee colony algorithm/parallel computing

分类

建筑与水利

引用本文复制引用

卢鹏,周鹏程,韩兵,杨开斌..流域梯级水库群多目标优化调度方法及应用[J].云南水力发电,2024,40(9):175-182,8.

云南水力发电

1006-3951

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