The traditional operation of the cascade hydropower stations system (CHPS) mainly focus on the maximization of power generation benefits, but ignores the interference of CHPS operation to the river ecosystem, therefore, carrying out the multi-objective optimal operation (MOOP) of CHPS considering ecological demands is crucial. In this paper, a MOOP model considering the ecological objective is established. To effectively solve the MOOP problems, a novel multi-objective Jaya algorithm (MOCOM-Jaya) is proposed, where the quality of the initial population is enhanced based on the chaotic sequence, the later disturbance term and Gaussian mutation are incorporated to improve the local search ability, the elite opposition-based learning is adopted to broaden the optimization space. The proposed algorithm is applied to the study of MOOP of CHPS in the Wujiang river, and the results show that compared with MOPSO and NSGA-II, MOCOM-Jaya can gain the solution set with better convergence and distribution for the MOOP. The competition relationship between the power generation objective (PGO) and the ecological objective (ECO) is revealed based on the partial replacement ratio method. The results show that the competitiveness of PGO and ECO experienced a trade lead with the increase of power generation. The mean competitiveness ratios of PGO to ECO (\(\overline {CP{R_{P - E}}} \) ) in three typical years (dry, normal, wet) are 3.22, 3.17 and 3.15, indicating that the PGO is dominant in the competition with the ECO as a whole.

梯级水电站系统（CHPS）的传统运行主要着眼于发电收益的最大化，却忽略了CHPS运行对河流生态系统的干扰，因此，考虑到CHPS的多目标最优运行（MOOP）生态需求至关重要。本文建立了一个考虑生态目标的MOOP模型。为了有效解决MOOP问题，提出了一种新颖的多目标Jaya算法（MOCOM-Jaya），该算法基于混沌序列提高了初始种群的质量，并结合了后来的扰动项和高斯突变来提高局部性。搜索能力的基础上，采用基于精英的基于对立面的学习来拓宽优化空间。将该算法应用于乌江CHPS的MOOP研究，结果表明，与MOPSO和NSGA-II相比，MOCOM-Jaya可以得到具有更好收敛性和分布性的MOOP解集。基于部分替代率法，揭示了发电目标（PGO）与生态目标（ECO）之间的竞争关系。结果表明，随着发电量的增加，PGO和ECO的竞争力处于行业领先地位。PGO与ECO的平均竞争力比（基于部分替代率法，揭示了发电目标（PGO）与生态目标（ECO）之间的竞争关系。结果表明，随着发电量的增加，PGO和ECO的竞争力处于行业领先地位。PGO与ECO的平均竞争力比（基于部分替代率法，揭示了发电目标（PGO）与生态目标（ECO）之间的竞争关系。结果表明，随着发电量的增加，PGO和ECO的竞争力处于行业领先地位。PGO与ECO的平均竞争力比（\（\ overline {CP {R_ {P-E}}} \））在三个典型年份（干燥，正常，潮湿）分别为3.22、3.17和3.15，这表明PGO在与ECO的竞争中占主导地位。所有的。