电网技术2015，Vol.39Issue(9)：2478-2483,6.DOI:10.13335/j.1000-3673.pst.2015.09.016
巨型水电站厂内经济运行及效益分析
Inner-Plant Economic Operation of Giant Hydropower and Benefit Analysis
摘要
Abstract
Nowadays, inner-plant economic operation of hydropower station has gained remarkable achievement when implemented in small and medium hydropower plants, whereas, seldom in giant hydropower plants in China. Taking peak load regulation and frequency regulation of giant hydropower plants and constraint condition of avoiding large scale output transfer into consideration, a quasi real-time output optimal distribution (QROOD) model of inner-plant of giant hydropower taking minimized water consumption as objective was established, and brought in improved spatio-temporal dynamic programming algorithm. Pubugou hydropower plant (3 600 MW) was taken as example. The results show that QROOD operation can realize considerable economic benefits, especially in reducing daily water consumption for power generation from 2.652 m3/(kW?h) to 2.585 m3/(kW?h), and increase economic benefit nearly by 2.5%. The average calculation time consumption is 0.168 s. Compared with genetic algorithm, QROOD model is an effective method to increase hydropower utilization rate of giant hydropower stations and possesses better overall optimization ability, faster calculation speed and accuracy.关键词
巨型水电站/准实时优化分配/出力大面积转移/厂内经济运行/改进时间-空间动态规划算法Key words
giant hydropower plant/quasi real-time optimal distribution/large scale output transfer/inner-plant economic operation/improved spatio-temporal dynamic programming algorithm分类
信息技术与安全科学引用本文复制引用
沈圣,黄炜斌,李基栋,马光文,郭乐..巨型水电站厂内经济运行及效益分析[J].电网技术,2015,39(9):2478-2483,6.基金项目
国家重点基础研究发展计划项目(973 计划)(2013CB 036406-4) （973 计划）
国家科技支撑计划(2008BAB29B09) （2008BAB29B09）
国家自然科学基金项目(50539140,50679098). The National Basic Research Program of China (973 Program) (2013CB036406-4) （50539140,50679098）
Project Supported by the National Science and Technology Support Program of China(2008BAB29B09) （2008BAB29B09）
Project Supported by National Natural Science Foundation of China (50539140, 50679098). （50539140, 50679098）
