Cascade Reservoirs Operation Optimization Based on Crisscross Optimization Algorithm

Wang Lang; Meng An-bo; Li Jin-bei; Wei Ming-lei

doi:10.12052/gdutxb.160108

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Cascade Reservoirs Operation Optimization Based on Crisscross Optimization Algorithm

更新时间：2026-05-27

- Cascade Reservoirs Operation Optimization Based on Crisscross Optimization Algorithm
- Vol. 34, Issue 4, Pages: 72-77(2017)
- 作者机构：
- 作者简介：
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- DOI：10.12052/gdutxb.160108
  CLC： TV697.1
- Online First：09 July 2017，
  
  Published：2017
- 稿件说明：
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王朗, 孟安波, 李锦焙, 魏明磊. 纵横交叉算法在梯级水库优化调度中的应用[J]. 广东工业大学学报, 2017, 34(4): 72-77.

Wang Lang, Meng An-bo, Li Jin-bei, et al. Cascade Reservoirs Operation Optimization Based on Crisscross Optimization Algorithm[J]. 2017, 34(4): 72-77.
王朗, 孟安波, 李锦焙, 魏明磊. 纵横交叉算法在梯级水库优化调度中的应用[J]. 广东工业大学学报, 2017, 34(4): 72-77. DOI： 10.12052/gdutxb.160108.

Wang Lang, Meng An-bo, Li Jin-bei, et al. Cascade Reservoirs Operation Optimization Based on Crisscross Optimization Algorithm[J]. 2017, 34(4): 72-77. DOI： 10.12052/gdutxb.160108.

摘要

针对梯级水库群优化调度高维、多约束、非线性和难以求解的特点，将纵横交叉算法（CSO）运用于梯级水库的优化求解当中.纵横交叉算法采用横向交叉和纵向交叉两种交叉方式，增强了全局搜索能力并且避免了局部最优问题.两种交叉算子交替产生的中庸解与父代竞争产生的占优解，能够迅速收敛到全局最优.实例计算表明，与粒子群算法、遗传算法、最大期望算法相比，纵横交叉算法全局寻优能力更好，寻优结果稳定性更强，可以有效地运用于梯级水库群优化调度中.

Abstract

An optimal operation model for hydropower station is characterized by multiple constraints

high-dimension

nonlinearity

and difficult model solution. To surmount these problems

a Crisscross optimization (CSO) algorithm is presented to solve the model. Crisscross optimization algorithm searches the global optimum using a dual cross search mechanism

which can improve the ability of the global optimization searches via the organic integration of the two crossover operators by competition. On the one hand

the cross and vertical cross two can enhance the global search capability and avoid the local optimal problem. On the other hand

the golden mean is generated by the two crossover operators and the dominant solution generated by the competition

which can quickly converge to the global optimum. A case study reveals that Crisscross optimization algorithm performs better in global optimization ability and stability compared with the standard particle swarm optimization algorithm

the genetic algorithm

the expectation-maximization algorithm

and it can be effectively applied to the optimal operation of cascade reservoirs.

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references

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