水电站AGC中遗传算法的应用

经济调度是自动发电控制中的重要环节，对电力系统运行成本的控制具有较大意义。作为经济调度核心的机组优化问题涉及层面广，解决难度大，各种优化算法不断应用到该领域中，并取得了一定的成效。本文以遗传算法作为基础，将其运用于AGC的机组调配研究中，对比整数规划算法，初步验证了遗传算法在AGC降低成本方面的优越性。

Application in GA of hydroelectric power station in AGC

Economic Dispatch （ED） is an important aspect in Automatic Generation Control （AGC）, it plays a great role in the costs of power system. The selection of AGC units in ED is involved in various kinds of issues, and it is difficult to be settled. There are many optimized algorithms applied in the field which have got some effects. This paper based on Generation Algorithm （GA） in the research of the selection of AGC units proves the priority in the aspect of control of costs, comparing to the Integer Programming Algorithm.