• ▶ 2008-2024年被中国情报信息研究所评价中心评为“中国科技核心期刊”
  • ▶ 2019-2024年连续三届被中国科学院文献情报中心中国科学引文数据库CSCD(核心库)收录
  • ▶ 2021、2023年入编北京大学图书馆《中文核心期刊要目总览》
  • ▶ 2020-2024连续四年入选《科技期刊世界影响力指数(WJCI)报告》
唐海华, 舒 凯, 赵 宇, 肖 燕, 陆 涛.水电站群发电能力的优化方法及应用分析水资源与水工程学报[J].,2016,27(4):174-178
水电站群发电能力的优化方法及应用分析
Optimization method and application analysis of power generation capacity for hydropower station group
  
DOI:10.11705/j.issn.1672-643X.2016.04.32
中文关键词:  水电站群  中长期发电计划  优化调度  发电能力
英文关键词:hydropower station group  medium and long term power generation plan  optimal dispatching  power generation capacity
基金项目:
作者单位
唐海华1, 舒 凯1, 赵 宇1, 肖 燕2, 陆 涛1 (1.南京南瑞集团公司 江苏 南京 211106 2.贵州乌江水电开发有限公司 贵州 贵阳 550002) 
摘要点击次数: 2024
全文下载次数: 945
中文摘要:
      针对水电站群中长期发电计划编制的调度期末控制水位决策需求,建立以发电能力最大为目标的水电站群联合优化调度模型,并采用改进的逐次逼近与离散微分动态规划组合算法进行求解。以华电贵州区域乌江和北盘江两流域水电站群为例,采用2013年实际来水过程计算,通过与发电量最大、补偿效益最大等传统优化目标对比分析。结果表明:本文模型可根据各电站发电效率变化情况自动确定水库蓄放策略,实现水电站群调度期末控制水位及对应发电计划过程的同步优化,准确体现水电站群调度期内总发电量和调度期末总蓄能量的动态博弈关系。
英文摘要:
      In the light of the demand of water level decision in period end of scheduling of medium and long term power generation planning of hydropower station group, the paper established the joint optimal dispatching model which took the maximum power generation capacity as the target,and used improved combination dynamic programming algorithm of discrete differential and successive approximation to solve the model.It took the hydropower station group of Wujiang and Beipanjiang basin in Guizhou province for example,and using the actual inflow process in 2013, this model is compared with optimization objective of maximum power generation and compensation benefit. The result shows that the model can automatically determine the scheduling strategy of reservoir according to the change of power generation efficiency of power station,and relized the synchronization optimization of water level decision of hydropower station group dispatching and corresponding generation planning . The model can accurately reflect the dynamic game relationship of total generating capacity in scheduling period and total energy storage at the end of scheduling period.
查看全文  查看/发表评论  下载PDF阅读器
关闭