PDF(745 KB)
Sensitivity Analysis of Optimal Flow Distribution Scheme for A Water Diversion Pump Station
XU Si-yu, ZHANG Zhao, LEI Xiao-hui, DU Meng-ying, JING Xiang, FAN Hai-long
Journal of Changjiang River Scientific Research Institute ›› 2024
PDF(745 KB)
PDF(745 KB)
Sensitivity Analysis of Optimal Flow Distribution Scheme for A Water Diversion Pump Station
To address the insufficient reliability and practicality in the optimal flow allocation scheme, which arises from flow monitoring errors during water pumping at diversion pump stations, we developed an optimal flow allocation model based on the particle swarm optimization algorithm. This model reveals how the number of pumping units and overall efficiency respond to flow monitoring errors, and identifies a sensitive range for the optimal number of power-on pumping units to guide real-time control strategies. With the Liyuzhou Pumping Station from the Pearl River Delta Water Resources Allocation Project as a case study, our results indicate that the sensitive range for the optimal number of pumping units primarily concentrates in the transition zone during number adjustments. When the flow monitoring error remains constant, this sensitive range expands as flow increases, with the proportion of the sensitive range positively correlated to the absolute value of the monitoring error. Additionally, flow monitoring error leads to changes (fluctuating within 2%) in the efficiency of pumping station. Consequently, when making start-up plans for the pumping station, it is crucial to pay special attention to flow monitoring errors in the transition interval of operating conditions, as these conditions significantly impact the necessity for unit regulation adjustments.
water diversion pump station / optimal flow allocation / sensitivity analysis / flow monitoring error / particle swarm optimization algorithm
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
李智, 刘波波, 王新民, 等. 单级泵站不同机组流量分配的优化研究[J]. 南水北调与水利科技, 2015, 13(4): 691-694, 707.
(
|
| [10] |
郭昕, 贾敏智, 徐晨晨. 泵站群控系统的节能优化调度研究[J]. 中国农村水利水电, 2017(3): 160-164.
在实际泵站运行中需要根据不同要求调节流量扬程，由于泵站中定速泵和调速泵运行组合不合理，导致泵站运行效率低下。针对此问题，提出以泵站总功率最小为目标函数，以泵群总流量、单泵供水能力和调速泵的调速比为约束条件，建立了泵站优化运行数学模型。利用人工蜂群算法确定水泵并联运行的台数、凋速泵的调速比及各泵流量的分配，实现泵站的优化运行。以某泵站实际要求进行计算，得出优化运行方案，比较并分析人工蜂群算法和标准遗传算法在泵站优化运行中的适用性。结果表明：人工蜂群算法的计算结果更优，收敛速度更快，计算用时更少，表明该算法在泵站优化运行及相近领域有较高的实用价值。
(
Flow capacity-head should be tuned in the actual operation of pumping stations in order to meet different needs. However,the mismatching in running combination of constant-rate pumps and speed governing pumps may lead to the low operating efficiency of pumping stations. To solve this problem,a new mathematical model of optimizing operation of pumping stations in which the minimum total power of pumping stations as objective functions,total flow of pump groups,water supply capacity of single pump and speed regulation ratio of speed governing pumps as constraints is established. The operation numbers of the pumps in parallel,speed ratio of speed governing pump and flow distribution of flux of each pump were determined by utilizing artificial bee colony algorithm and optimizing operation of pump station was achieved.The protocol of optimizing operation obtained by calculating the optimal operation of certain pumping stations. The comparison of applicability between artificial bee colony algorithm and standard genetic algorithm in optimizing the operation of pumping stations was then performed. The results show that artificial bee colony algorithm value is better,the rate of convergence is faster and the computation of time is less,which demonstrates that the proposed algorithm possesses higher practical values in optimizing the operation and adjacent neighborhood of pumping stations.<br>
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
李梦轩. 引江济淮工程梯级泵站调度优化[D]. 天津: 天津大学, 2020.
(
|
| [16] |
杜梦盈, 王小林, 张召, 等. 基于抽水装置特性曲线校正的泵站优化模型[J]. 南水北调与水利科技(中英文), 2023(6): 1159-1164.
(
|
| [17] |
王志远, 翟光耀, 朱劲木, 等. 鲤鱼洲泵站水泵机组大范围调速运行及出水池出水状态分析[J]. 水利水电技术(中英文), 2022, 53(增刊1):330-335.
(
|
| [18] |
广东省水利电力勘测设计研究院. 珠江三角洲水资源配置工程初步设计报告机电及金属结构[R]. 广州: 广东省水利电力勘测设计研究院, 2018.
(Guangdong Hydropower Planning & Design Institute. Preliminary Design Report on Mechanical, Electrical and Metal Structures of the Pearl River Delta Water Resources Allocation Project[R]. Guangzhou: Guangdong Provincial Water Conservancy and Electric Power Survey and Design Institute, 2018. (in Chinese))
|
| [19] |
曹蓉, 方国华, 孙洪滨, 等. 叶片可调式泵站日优化运行敏感性分析研究[J]. 中国农村水利水电, 2015(5):167-171.
在建立叶片可调式泵站日优化运行数学模型的基础上，选择日运行时段划分方式、日均扬程和日提水量要求作为已建泵站运行工况下的敏感参数，通过分析其变动对泵站运行费用、机组运行方式等的影响，开展敏感性分析研究，探究各参数在叶片可调式泵站日优化运行中的作用，为泵站经济运行和流域泵站系统联合优化调度提供指导。以淮安四站为例进行计算分析，结果表明：（1）泵站日优化运行，宜考虑峰谷电价，每隔2~4小时划分一运行时段。（2）越接近设计扬程，单位扬程所用电费越少。（3）日提水量较小时单位提水电费少，经济性更好。
(
在建立叶片可调式泵站日优化运行数学模型的基础上，选择日运行时段划分方式、日均扬程和日提水量要求作为已建泵站运行工况下的敏感参数，通过分析其变动对泵站运行费用、机组运行方式等的影响，开展敏感性分析研究，探究各参数在叶片可调式泵站日优化运行中的作用，为泵站经济运行和流域泵站系统联合优化调度提供指导。以淮安四站为例进行计算分析，结果表明：（1）泵站日优化运行，宜考虑峰谷电价，每隔2~4小时划分一运行时段。（2）越接近设计扬程，单位扬程所用电费越少。（3）日提水量较小时单位提水电费少，经济性更好。
|
| [20] |
蔡毅, 邢岩, 胡丹. 敏感性分析综述[J]. 北京师范大学学报(自然科学版), 2008, 44(1): 9-16.
(
|
/
| 〈 |
|
〉 |
