摘要
向家坝水电站短期日发电调度与坝下游航运间矛盾冲突严重,为缓解航电矛盾,该文提出一种兼顾下游航运要求的向家坝水电站枯水期日调节优化方法。综合考虑向家坝水电站水库运行方式、电站出力特性和大坝下游通航水力条件要求,以日发电量最大为目标,建立向家坝日发电精细化模型,运用一维水流模型实时验证下游航运水力条件,可实时保障下游航运安全,同时提出免疫差分进化算法进行求解。最后以向家坝历史径流数据进行仿真模拟分析,优化结果表明:运用本文所提优化方式及求解方法能够在满足下游航运水力条件和电网要求的同时使日发电量达到4 705万kWh,在时效性方面是动态规划计算时间的1/50,具有较大优势。可用于兼顾航运和调峰功能的水电站日调节方案制定,具有一定的理论与工程实用价值。
The conflict between the short term Xiangjiaba hydropower generation scheduling and the shipping requirements was analyzed using a one-dimensional flow to validate constraints on optimizing the power generation during the dry season. The Xiangjiaba reservoir operation rules, the station power output characteristics and the required hydraulic conditions for shipping are combined into a model to optimize the Xiangjiaba daily power generation rate. An immune difference evolution algorithm is used to solve the one-dimensional flow model as a constraint for the shipping hydraulic conditions. Simulations using historical Xiangjiaba runoff data shows that the maximum generating capacity is 47,050,000kWh while satisfying the downstream shipping requirements. The immune difference evolutionary algorithm was only 2%of the computation time of the dynamic programming method. Thus, this method has strong practical value for daily scheduling.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2015年第2期170-175,183,共7页
Journal of Tsinghua University(Science and Technology)
基金
"十二五"国家科技支撑计划资助项目(2012BAB05B01)
国家自然科学基金青年基金资助项目(51409008)
水沙科学与水利水电工程国家重点实验室开放研究基金资助课题(2015-B-03)
关键词
日发电优化
航运条件
水力要素
免疫差分进化
最优化
daily power generation optimization
shipping conditions
hydraulic factors
immune difference evolutionary algorithm, optimization
