基于协同差分演化算法的梯级水库短期发电优化调度研究

Research on the Application of Co-differential Evolution Algorithm to the Optimal Operation of Cascade Reservoirs in a Short Time

随着我国水电事业不断发展,流域梯级水库群联合调度的新格局已逐渐形成。针对梯级水库发电优化调度问题,在差分演化算法中适应度的进化模式中计及进化成分与外部环境之间的内在联系,借鉴生态学对个体生存环境与种群竞争的关系,提出了协同差分演化算法,并将其引入梯级水库短期发电优化调度中。实例仿真计算结果表明,该算法具有可靠性与合理性,计算速度显著提升,为解决高维复杂、多约束、非线性的梯级水库优化调度问题提供了一条新路径。

With the rapid development of hydropower engineering in China, a new condition of optimal operation of cascaded reservoirs is formed, in order to solve the problem of optimal operation of cascaded reservoirs. This paper proposes Co-differential Evolution Al- gorithm by considering the relations between evolutionary elements and external environment at the mode of DEA and referring to e- cology. A test case shows that CDEA is reliable, rational and efficient to cope with optimal operation of cascaded reservoirs in a short time.