基于模拟遗传混合算法的梯级水库优化调度图制定  

Linking Simulation with Genetic Algorithm to Establish Optimal Operation Chart of Cascade Reservoirs

作　　者：张双虎[1] 黄强[1] 黄文政[2] 吴洪寿[1] 

机构地区：[1]西安理工大学水利水电学院,陕西西安710048 [2]国立台湾海洋大学河海工程系

出　　处：《西安理工大学学报》2006年第3期229-233,共5页Journal of Xi'an University of Technology

基　　金：国家自然科学基金资助项目(50479024)

摘　　要：将遗传算法与系统模拟相结合,提出了基于模拟遗传混合算法制定梯级水库优化调度图的理论及方法,并以乌江上游梯级水库为研究对象,进行实例分析,绘制了梯级水库优化调度图。结果表明,采用该调度图指导水库运行,与长系列补偿调节计算相比,梯级电站多年平均发电量增加了4.3亿kW.h,可为乌江梯级水库群合理调度提供可靠的技术支持。In combining genetic algorithm with system simulation, this paper suggests the theory and method of working out the optimal operation chart of cascade reservoirs based on the simulation and genetic algorithm. Also, with the cascade reservoirs along the upstream of the Wujiang River as the study objective, the real example is analyzed, and the optimal operation charts of cascade reservoirs are drawn in this paper. Research results indicate that in adopting this operation chart to guide the reservoirs operation in comparison with the series compensation regulating calculation, power generation of cascade hydropower stations for years on average has increased 430 million kW · h, whereby providing the reliable-tech support for the rational dispatch of cascade reservoirs of the Wujiang River.

关 键 词：遗传算法 模拟 梯级水库 调度图 

分 类 号：TV697.1[水利工程—水利水电工程]