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 principles of plant growth simulation algorithm (PGSA) is introduced, and, considering the characteristics of optimal operation of cascade hydropower stations, a mathematical model that can solve the optimization problem based on PGSA method is established. The basic plant growth simulation algorithm is improved, the corresponding algorithm steps are designed, and then the PGSA method and its improved algorithm are both applied to optimal operation of reservoirs. The application analysis of the cascade optimal operation at the Yalong River hydropower plant shows that, the PGSA algorithm, whose searching direction is determined by morphactin concentration and the random search mechanisms, has a strong global search ability, and provide a new approach to the optimal operation of hydropower stations.