Optimal Regulation for Maximization of Peak-energy Capacity Benefits in Cascade Hydropower Stations

吴正佳; 周建中; 杨俊杰; 屈亚玲

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Optimal Regulation for Maximization of Peak-energy Capacity Benefits in Cascade Hydropower Stations

更新时间：2026-01-22

- Optimal Regulation for Maximization of Peak-energy Capacity Benefits in Cascade Hydropower Stations
- Issue 1, Pages: 74-76(2007)
- 作者机构：
  
  1. 华中科技大学水电与数字化工程学院,湖北,武汉,430074
  2. 三峡大学机械与材料学院
  3. ,湖北,宜昌,443002
- 作者简介：
- 基金信息：
- DOI：
  CLC： TV737
- Published：2007
- 稿件说明：
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[1]吴正佳,周建中,杨俊杰,屈亚玲.调峰容量效益最大的梯级电站优化调度[J].水力发电,2007(01):74-76.

吴正佳, 周建中, 杨俊杰, et al. Optimal Regulation for Maximization of Peak-energy Capacity Benefits in Cascade Hydropower Stations[J]. 2007, (1): 74-76.
[1]吴正佳,周建中,杨俊杰,屈亚玲.调峰容量效益最大的梯级电站优化调度[J].水力发电,2007(01):74-76. DOI：

吴正佳, 周建中, 杨俊杰, et al. Optimal Regulation for Maximization of Peak-energy Capacity Benefits in Cascade Hydropower Stations[J]. 2007, (1): 74-76. DOI：

摘要

为适应电力市场对水电站容量效益的需要

建立了既考虑容量效益又考虑电量效益的梯级电站优化调度模型

并提出了求解该模型的改进PSO算法

该算法能够有效处理目标函数带有层次性的多目标优化问题

具有收敛效率高的特点。用该算法对三峡梯级电站枯水期的优化调度问题进行了研究

使三峡梯级电站在获得尽可能大的调峰容量效益的同时也得到最大的电量效益。

Abstract

A optimal dispatching model for the hydropower stations is established

in which two objective functions including maximizing peaking capacity benefit and maximizing power generation are involved

and the improved particle swarm optimization（PSO） algorithm solving the model is proposed.The algorithm can handle the level multi-objective optimization problem effectively

and has the advantages of good convergence property and simplicity.Optimal dispatching problem of the Three Gorges Cascade Hydropower System during low-flow period is studied with the algorithm to obtain the maximum peaking capacity benefit.

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references

粒子群算法在水电站日优化调度中的应用 [J]. 杨道辉,马光文,严秉忠,左幸. 水力发电 . 2006(03)

基于混沌搜索的粒子群优化算法 [J]. 杨俊杰,周建中,喻菁,吴玮. 计算机工程与应用 . 2005(16)

改进粒子群优化算法在负荷经济分配中的应用 [J]. 杨俊杰,周建中,吴玮,刘芳. 电网技术 . 2005(02)

混联水电站群实时联合优化调度 [J]. 徐鼎甲,张玉山. 水力发电学报 . 2001(03)

中型水电站经济评价 [J]. 刘玉珍. 西北水电 . 2000(02)

三峡梯级水电站群调峰作用优化 [J]. 尹明万,戴江. 中国三峡建设 . 1997(07)

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