基于遗传算法的水电站优化调度  

Hydropower station optimal scheduling based on genetic algorithm

作　　者：刘福玉[1] 

机构地区：[1]辽宁省白石水库管理局,辽宁朝阳122000

出　　处：《中国水能及电气化》2015年第7期29-31,共3页China Water Power & Electrification

摘　　要：水电站优化调度的主要目的是能够充分利用有限的水资源,使发电量更大,从而提高水电站的经济效益。由于遗传算法对求解的目标函数的连续、可导或单峰等性质不作约束,使其具有较好的全局最优求解能力。将遗传算法引入到本文研究的水电站优化调度问题当中,能够为水电站确定一个最优的调度方案。本文在给出电厂出力和各种约束条件的情况下,求解水电站通过调度闸门的开启来提高水电站的发电量,同时提高整个水电站电力系统的供电质量与运行的可靠性。The main purpose of hydropower station optimal scheduling is to make full use of limited water resources and increasing power generation,thereby improving economic benefits of hydropower station. Since genetic algorithm does not limit solved objective function continuity,derivability or unimodal and other properties. It can achieve better global optimal solution ability. Genetic algorithm is introduced to hydropower station optimal scheduling studied in the paper. An optimal scheduling plan can be determined for hydropower station. In the paper,power plant output and various constraint conditions are given,the power generation of hydropower station can be improved through opening scheduling gate in the hydropower station under the above conditions. Meanwhile,the power supply quality and operation reliability of power system in the whole hydropower station can be improved.

关 键 词：优化调度 遗传算法 经济效益 节能优化 

分 类 号：TV737[水利工程—水利水电工程]