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介绍了模拟植物生长算法的基本原理,针对梯级水电站优化调度问题的特点,建立了该问题的模拟植物生长算法求解模型。对基本模拟植物生长算法进行了改进,并设计了相应的算法步骤。在此基础上,将基本模拟植物生长算法及其改进算法应用于水库群优化调度中。通过对雅砻江梯级优化调度的应用分析,表明由形态素浓度决定其方向性和随机性搜索机制的模拟植物生长算法具有较强的全局搜索能力,为解决水库群优化调度问题提供了新的途径。
The basic principle of simulated plant growth algorithm is introduced. According to the characteristics of the optimal scheduling problem of cascade hydropower stations, a simulation model of plant growth algorithm for this problem is established. The basic simulated plant growth algorithm is improved, and the corresponding algorithm steps are designed. On this basis, the basic simulated plant growth algorithm and its improved algorithm are applied to the optimal operation of reservoir group. Through the application analysis of the Yalong River cascade optimization scheduling, it shows that the simulated plant growth algorithm, which determines its directionality and randomness search mechanism by the concentration of morphotropy, has a strong global search ability and provides a new solution to the problem of optimal scheduling of reservoir group way.