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作 者:李德龙 许小华 温天福 黄萍 鄢笑宇 LI De-long;XU Xiao-hua;WEN Tian-fu;HUANG Ping;YAN Xiao-yu(Jiangxi Academy of Water Science and Engineering,Nanchang 330029,China;State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China)
机构地区:[1]江西省水利科学院智慧水利研究所,南昌330029 [2]河海大学水文水资源与水利工程科学国家重点实验室,南京210098
出 处:《中国农村水利水电》2021年第12期162-166,170,共6页China Rural Water and Hydropower
基 金:江西省水利厅一般课题“大中型水库洪水预泄智能调度系统研究与应用”(202022YBKT06);江西省水利厅推广课题“IWHR洪水预报调度系统在重点防洪水库中的应用”(202123TGKT15)。
摘 要:为充分发挥发电效益,提高水资源利用率,水库发电运行优化调度已成为专家学者研究的热点之一。本文以兼顾防洪、发电等综合效益的伦潭水利枢纽工程为例,在构建洪水预泄调度模型和中长期发电调度模型基础上,采用SOA架构和J2EE技术研发可线上快速优化计算的调度决策支持系统。研究结果表明,该系统在2018年3月-2019年2月的水文年内,优化提升了水库发电运行调度水平,发电量增加了12.3%;在2019年7月7日-13日的实际洪水场次中,提前12小时预泄的弃水率较实际调度弃水率有效降低了21.42%,切实实现了科学优化调度,为管理决策提供了科学依据,创造了更大的综合效益。In order to give full play to the efficiency of power generation and improve the utilization rate of water resources,the optimal operation of reservoir power generation is used as a hot research by experts and scholars.Luntan Key Water-Control Project,which gives consideration to the comprehensive benefits of flood control and power generation,is taken as an example.Based on building the both mathematical models of the medium-long term power generation and flood pre-release control,then a decision support system with fast online optimization is developed by using SOA architecture and J2EE technology.The results show the system can improve the operation level of the reservoir power generation,and increase electricity generation about 12.3%during the hydrological year from March 2018 to February 2019.And the water abandonment rate of pre-discharge 12 hours in advance is effectively reduced by 21.42%compared with the actual water abandonment rate of dispatching in the actual flood from July 7 to 13,2019.The system realizes the scientific optimal operation,provides a scientific basis for the management decision,and creates more comprehensive benefits.
关 键 词:大型水库 优化调度 发电调度 洪水预泄调度 决策支持系统
分 类 号:TV122.3[水利工程—水文学及水资源]
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