Optimal scheduling of cascade hydropower stations based on variable stage progressive optimization algorithm

YANG Fan; LU Xueliang; HUANG Rongze

doi:10.3969/j.issn.1672-3643.2023.04.002

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Optimal scheduling of cascade hydropower stations based on variable stage progressive optimization algorithm

更新时间：2026-09-14

- Optimal scheduling of cascade hydropower stations based on variable stage progressive optimization algorithm
- Ningxia Electric Power Issue 4, (2023)
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- DOI：10.3969/j.issn.1672-3643.2023.04.002
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- Online First：12 September 2023，
  
  Published：2023
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YANG Fan, LU Xueliang, HUANG Rongze. Optimal scheduling of cascade hydropower stations based on variable stage progressive optimization algorithm[J]. Ningxia Electric Power, 2023, (4).
DOI：

YANG Fan, LU Xueliang, HUANG Rongze. Optimal scheduling of cascade hydropower stations based on variable stage progressive optimization algorithm[J]. Ningxia Electric Power, 2023, (4). DOI： 10.3969/j.issn.1672-3643.2023.04.002.

摘要

水能属于可再生能源，合理地优化流域内阶梯水电站发电计划，可以达到提高水能利用率的目的。为提高某流域A、B、C 3个阶梯水电站的总发电量，建立了基于变阶段逐步优化算法的阶梯水电站发电优化模型，针对传统逐步优化算法容易陷于局部最优解的缺点，提出在逐步优化法两阶段分解集式中嵌入变阶段策略，有效降低了最优解对初始解的依赖性，保证优化结果收敛于全局最优解，算例计算结果表明变阶段逐步优化算法的收敛速度更快、更稳定。

Abstract

Hydropower is a form of renewable energy.Rationally optimizing the power generation schedules of cascade hydropower stations in a river basin can enhance the utilization rate of hydro energy.To increase the total power generation of three cascade hydropower stations in a river basin

this paper establishes an optimization model based on a variable stage progressive optimization algorithm for the power generation of cascade hydropower stations.In view of the limitations of the traditional progressive optimization algorithms

which are prone to local optima

this paper proposes embedding a variable stage strategy within the two-stage decomposition of the progressive optimization algorithm.This effectively reduces the dependency of the optimal solution on the initial solution and ensures convergence to a global optimum.Computational results indicate that the variable stage optimization algorithm yields improved power generation with faster and more stable convergence.

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