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Optimization Of The Urban Pumping Station Running In Variable Pressure And Variable Flow Control With All VVVF

Posted on:2009-04-01Degree:MasterType:Thesis
Country:ChinaCandidate:P T WangFull Text:PDF
GTID:2132360272474648Subject:Municipal engineering
Abstract/Summary:PDF Full Text Request
Water pumping station is an important component of the water supply system, the power transformation from electric energy to mechanical energy is mainly completed in the unit.Now, the water pumping station in design and operation have a lot of problem such as the energy conservation consciousness is lacking, obsolete equipment and aging technology, the lower the level of automation, result in the waste of energy and have a great potential of energy conservation in water pumping station.Through referring the information about optimization of pump station in home and abroad, Analyzed and summarized the issues: optimization of pumping stations and water supply system optimization, The reconstruct of pumping station that has ben built for energy conservation and pump impeller cutting, The method of flow control in Pumping Stationand approach speed pumps, the characteristics of VVVF, The volume of pond in waterwork and other issues. This issues laid the foundation for the modeling of water pumping station running energy-saving control strategy , providing the theoretical reference and guidance for actual operation in water pumping station .Through access to relevant documentation sorted out a genetic algorithm process and the calculation of basic operations, summed up the calculation steps of the basic genetic algorithm solve the optimization model of the pumping station.Fecting water pumping station is design in the most disadvantaged situation and using fixed speed running operation. when Surface water level have a greater change in a year or in a day, fixed speed pumps operating units will be running in the low efficiency of the pumps in the most of the time, resulting in waste of energy.The energy-saving way of water supply pumping station is pumps group running in variable speed and constant speed with one or two VVVF equipment. Actual operation showed that the Energy conservation are not effective in this way. Energy conservation are not effective mainly caused by:â‘ constant pressure control can not give full play to the energy-saving advantages of Frequency Control, and there is still full of energy-saving potential.â‘¡The actual frequency-flow control capacity of speed and speed fixed pumps unit running in parallel is much smaller than single-pump-flow capacity of frequency,because of the mutual influence between the flow of parallel pumps, pumping Station-flow regulation still rely on justifications of valve. This paper established a full-frequency variable pressure control optimization model - the smallest shaft power real-time model for water pumping station that fecting surface water, the optimal model was first introduced real-time element t, to reflect the pumps Real-time operational control of variable pressure thinking.In this paper, establish the all variable frequency, variable pressure and flow control optimization model - the real-time flow variance model for the water-supply pumping station that water distribution network in without the flow regulation structures,the optimal model is still in through real-time element t to reflect variable pressure, variable flow control thinking, while in the optimal model of creative thinking to limit the use of pumping stations flow approaching the actual needs, solve the problem of the flow described in distortion in the minimum flow variance model raised by Cohen. G.In this paper solve the models that are established by using using the genetic algorithm and direct search toolbox to solve in matlab7.0, and get the water pumping stations operational control strategy. The actual engineering data show the feasibility of the model,and the results show that the all variable frequency, variable pressure and flow control strategy a good energy-saving effect.
Keywords/Search Tags:The Smallest Shaft Power Real-time model, The Real-time Flow Variance Model, Simple Genetic Algorithm, Variable Pressure-Variable Flow Control, All VVVF
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