基于人工神经网络的梯级水电厂日优化运行

提出了一种利用人工神经网络(ANN)进行梯级水电厂日优化运行研究的方法。既可用于制订 梯级日最优发电计划，又可用于梯级实时发电控制。为了加快神经网络的收敛速度，采用分 解网络技术，将一个复杂的网络分解为多个简单的网络。仿真结果表明，将神经网络应用于 这一领域，取得了较为满意的结果。

DAILY OPTIMAL OPERATION OF CASCADE HYDROELECTRIC POWER STATIONS BASED ON ARTIFICIAL NEURAL NETWORK

This paper presents a new approach based on artificial neural network (ANN) to solve daily optimal operationproblems of cascade hydroelectric power stations in power systems. The new approach can be used not only for the dailyoptimal generation scheduling, but also for the real--time control of cascade hydroelectric power stations. In order to speed upthe convergence of ANN. an analytical technique is used in which the complicated networks are divided into several simpleones. Simulation results show that the presented method is effective.