2009
DOI: 10.3901/cjme.2009.01.078
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Optimal Operation for Baoying Pumping Station in East Route Project of South-to-North Water Transfer

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Cited by 7 publications
(6 citation statements)
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“…For parallel pumping station group, it is necessary to consider which pumping station to operation (Feng X L, et al 2008). If the time varying electricity price is carried out, the problem will be more complex (Feng X L, et al 2009). …”
Section: Optimizing Modelsmentioning
confidence: 99%
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“…For parallel pumping station group, it is necessary to consider which pumping station to operation (Feng X L, et al 2008). If the time varying electricity price is carried out, the problem will be more complex (Feng X L, et al 2009). …”
Section: Optimizing Modelsmentioning
confidence: 99%
“…The constraints are the expression (2), (3), (6) and (7). Where P zn is station energy cost; ΔP tel is low voltage side transmission loss of the main transformer; ΔP b is main transformer loss; ΔP teh is high voltage side transmission loss of the main transformer; k is the serial number of main transformers.…”
Section: Optimizing Modelsmentioning
confidence: 99%
“…Olszewski [1] investigated optimal operation for parallel pumps in a pumping system using the genetic algorithm, and regulated operation modes by adjusting valve opening, throttling and frequency conversion, aiming to achieve minimal power consumption, flow rate balance and maximum total efficiency. Feng et al [2] discussed the optimal operation of main pump units using the genetic algorithm, giving electricity cost savings of 4.73−31.27% in the schemes of adjusting blade angles and time-varying electrical price. Abkenar et al [3] established multiple objective nonlinear optimizing models for a water diversion system, considering the cost and energy consumption of environmental contamination emissions, and determined optimization schemes by applying the genetic algorithm with continuous and discrete coding.…”
Section: Introductionmentioning
confidence: 99%
“…For the research on the optimization operation of variable working conditions, Feng Xiaoli et al [2] used the annealing genetic algorithm to study the optimization operation schemes of five different combinations of variable rotational speed and variable blade angles for Gaogang pumping station, which has significant effect on saving electricity compared with the existing operating scheme. Zhang Yuhong et al [3] studied the daily optimization by the adjustable-blade regulation of the cascade pumping station, and the result of optimization operation could reduce the daily operating cost by 23.77%.…”
Section: Introductionmentioning
confidence: 99%