考虑分时电价的并联泵站日优化调度研究
Daily optimization scheduling study of parallel pumping stations considering time-of-use electricity pricing
渠谢雨 1张召 2白传贞 3杜梦盈 4屠绎炜5
作者信息
- 1. 天津大学 建筑工程学院,天津 300072
- 2. 中国水利水电科学研究院,北京 100038
- 3. 南水北调东线江苏水源有限责任公司,江苏 南京 210029
- 4. 江苏大学 流体机械工程技术研究中心,江苏 镇江 212013
- 5. 清华大学水沙科学与水利水电工程国家重点实验室,北京 100084
- 折叠
摘要
跨流域调水泵站群是解决水资源空间配置不均的动力之源,虽然综合效益显著,但存在调水成本过高问题.为进一步探究泵站的经济运行,针对非同型机组的并联泵站,建立考虑分时电价的日优化调度模型,通过优化泵站调控时段及机组流量分配,实现并联泵站的日经济运行.以南水北调东线睢宁枢纽站为研究实例,分析流量的优化分配规律及调水成本对调控次数的响应规律.结果表明:设计扬程下,主要由睢宁二站机组适应输水流量变化;固定流量下,主要由沙集站机组适应泵站扬程变化;调控次数一定时,分时电价相较固定电价更能发挥调度潜能;分时电价下,增加日调控次数可节省更多成本,但节省幅度受约束条件限制.
Abstract
The clusters of inter-basin water transfer pumping stations are a vital power source to address the spatial imbalance of water resources distribution.Despite their significant comprehensive benefits,the increasingly prominent issue of high-water transfer costs necessitates further investigation into the economical operation of pumping stations.This study develops a daily optimization scheduling model for parallel pumping stations with dissimilar units,taking into consideration time-of-use electricity pricing.By optimizing the control periods and flow distribution of the units,the model aims to achieve the economical daily operation of parallel pumping stations.The Suining Hub Station of the East Route of the South-to-North Water Diversion Project is taken as a case study to analyze the optimized flow distribution pattern and the response of water transfer cost to the number of control adjustments.The results indicate that under the designed head,primarily the Suining No.2 station units adapt to the changes in water transfer flow;under fixed flow conditions,it is mainly the Shaji Station units that accommodate the changes in pumping station head.With a fixed number of control adjustments,time-of-use electricity pricing better unleashes the potential of scheduling compared to fixed electricity pricing.Under time-of-use pricing,increasing the number of daily control adjustments can save more costs,albeit the extent of savings is limited by the constraints.
关键词
并联泵站/优化调度/粒子群算法/分时电价/调控次数Key words
parallel pumping stations/optimization scheduling/particle swarm optimization/time-of-use electricity pricing/number of controls引用本文复制引用
出版年
2024
NETL
NSTL
万方数据