基于遗传算法和运行区划分的水电站厂内经济安全运行分析  

Study of internal economic operation based on GA and operation region partition

作　　者：薛鹏[1,2] 曾季弟 林家洋[3] 王正伟[1,2] 

机构地区：[1]清华大学水沙科学与水利水电工程国家重点实验室 [2]清华大学热能系,北京100084 [3]福建水口发电有限公司,福建福州350800

出　　处：《水力发电学报》2010年第6期13-18,共6页Journal of Hydroelectric Engineering

基　　金：水沙科学与水利水电工程国家重点实验室统筹研究课题资助(大型水力模型研制及其稳定性研究,编号:2009T3)

摘　　要：水口水电站作为华东电网主要调峰电站,机组运行工况变化频繁。对水口水电站进行水电站厂内经济运行分析,充分利用水资源降低单位功率耗水量,并使机组避开危险区运行是非常必要的。本文以水口机组运转综合特性曲线上的运行区划分结果为基础,充分考虑水电站机组运行的安全性和经济性,采用自适应遗传模拟退火算法对水口水电站进行了厂内经济运行分析。对运行工况优化分析后,在保证机组运行安全性的同时耗水量也有所下降,优化效果明显,说明厂内经济运行分析是有必要的,可为电站逐步实现经济运行提供技术支持。Shuikou hydropower plant is a main peak-plant of the east China power grid,and its unit loads vary quite frequently.Economic operation of power generation reduces water consumption,improves the use of water resources,and avoids the operation mode of unit vibration.In this paper,an adaptive genetic algorithm with simulated annealing is adopted in the optimization study of Shuikou hydropower,by using partitioned operation regions with a consideration of stability and efficiency of unit operation.The optimization results shows that,compared with no optimization,water consumption is considerably reduced and unit running in the restricted region is avoided.This result is significant to the Shuikou hydropower,and it also shows the feasibility of the adopted optimal method.

关 键 词：水电工程 运行区 经济运行 优化 遗传算法 

分 类 号：TV737[水利工程—水利水电工程]