蚁群算法求解梯级水电厂日竞价优化调度问题

应用蚁群算法(Ant Colony algorithm,ACA)，即利用蚂蚁群体相互协作和邻域搜索寻找功能，求解梯级水电站日竞价优化调度问题。计算中定义水库调度线为蚂蚁路径，利用状态转移、信息素更新和邻域搜索，不断调整路径逐步向最优值逼近。计算结果表明，梯级电站电量时空分配合理，并且满足约束条件，该算法可以求解具有复杂约束条件的非线性梯级优化调度问题。

Optimal operation of cascade hydropower plants in competitive electricity marketbased on ant colony algorithm

The ant colony algorithm is applied to optimize the operation of cascade hydropower plants in competitive power market. In this method, a set of cooperative ants can automatically search for the best operation scheme. The reservoir operation curve is defined as the ants' paths. The transition rule, global pheromone-updating rule and searching of neighbor domain are utilized to ensure the achievement of optimal solution. Case studies show that this method is feasible and suitable for solving the nonlinear optimal operation of cascade hydropower plants with complicated constrained conditions.