Optimizing Parallel Pumping Station Operations in an Open-Channel Water Transfer System Using an Efficient Hybrid Algorithm

Xiaoli Feng,Yongxing Wang,Baoyun Qiu

doi:10.3390/en13184626

Abstract

This article presents a methodology for optimizing the operation of parallel pumping stations in an open-channel water transfer system. A mathematical model was established for the minimum power with constraints on water level, flow rate and pump unit performance, and related factors. In the objective function, energy consumption of relevant equipment or facilities, such as main pump units, power transmission and transformation equipment, and auxiliary equipment, was considered comprehensively. The model was decomposed to two layers for solving. In the first layer, by using discharge distribution ratio as a variable, the flow rate and water level of the two water channels could be determined by employing the dichotomy approach (DA), and were calculated according to the principle of energy conservation, considering energy loss caused by hydraulic leakage and evaporation losses. In the second layer, the number of running pumps and the flow rate of a single pump were obtained by simulated annealing–particle swarm optimization (SA–PSO). The hybrid of the two algorithms is called the dichotomy approach–simulated annealing–particle swarm optimization (DA–SA–PSO). To verify the efficiency and validity of DA–SA–PSO, SA–PSO is also applied to determine discharge distribution ratio. The results indicate that the computation time using DA–SA–PSO is 1/30 of that using double-layer SA–PSO (dSA–PSO). Compared with the original plan, the optimal solution could result in power savings of 14–35%. Thus, the DA–SA–PSO is highly efficient for optimizing system operation in real time.

Highlights

Pumping stations play a key role in agricultural irrigation and drainage, urban domestic water supply and sewage, industrial water supply and drainage, and ecological environment construction, and they have high energy costs
The goal of this study is to present a methodology for improving energy saving by optimizing the operation strategies of pumping stations, targeting parallel pumping stations in an open-channel water transfer system with double lines that transfers water from the Sanjiangying intake of the Yangtze
The results indicate that the accuracy of discharge distribution ratio is higher, and the input power is approximately 0.067% lower by dSA−particle swarm optimization (PSO) than that by dichotomy approach (DA)−SA−PSO, while the difference of kopt is approximately 0.5% between the two methods

Summary

Introduction

Pumping stations play a key role in agricultural irrigation and drainage, urban domestic water supply and sewage, industrial water supply and drainage, and ecological environment construction, and they have high energy costs. For a large open-channel water transfer system with pumping stations, power transmission facilities, pumping stations and water passing facilities are necessary to work together to transfer water from the source to the destination, and they are responsible for power transmission, energy conversion and water transport. During this process, energy loss is inevitable. Water transfer performance of the open-channel is interrelated with pump operation performance. It is important to study operation optimization methods for an open-channel water transfer system to decrease energy consumption and improve energy savings

Methods

Results

Conclusion