Applications of Hybrid Genetic Algorithm in Frequency Speed Control Pumping Station

Meng, Xiangzhong; Wang, Hui; Liu, Shu; Zhang, Hong

doi:10.1109/icnc.2008.195

Cited by 8 publications

(10 citation statements)

References 3 publications

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“…The pump characteristics and system characteristics are also approximated using quadratic equations. The effect of the motor speed changes on the pump characteristics is mathematically described using affinity laws [48]. The operating point for a given motor rotation speed is computed using the combination of the affinity laws, pump performance and system characteristics.…”

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

“…References [48] and [49] are examples of the use of optimal control in VSD operations. In [48], an optimal control model is established with the aim of achieving the lowest energy consumption for a cooling system pump operation in a high-speed wire factory.…”

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

“…In [48], an optimal control model is established with the aim of achieving the lowest energy consumption for a cooling system pump operation in a high-speed wire factory. The model computes an optimal VSD speed setting for each of the connected pumps.…”

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

“…In reference [49] a mathematical model for the optimum parameters of centrifugal pumps is established, and the minimum total electric power consumption of the fixed-speed pumps and variable speed pumps is taken as the objective function. Reference [49] is similar to [48] in terms of the objective and method of pump control. However, in [49], the pump consumption is derived using the hydraulic equation whereas in [48] the pump input power is derived based on the manufacturer-specified pump input power curve.…”

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

“…Reference [49] is similar to [48] in terms of the objective and method of pump control. However, in [49], the pump consumption is derived using the hydraulic equation whereas in [48] the pump input power is derived based on the manufacturer-specified pump input power curve.…”

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

See 4 more Smart Citations

Optimal sizing and operation of pumping systems to achieve energy efficiency and load shifting

Zhang

Xia

Zhang

2012

Electric Power Systems Research

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Degree: Master of Engineering (Electrical)Keywords: Pump, energy efficiency, load shifting, operational cost, POET, optimal capacity selection, optimal control, MPC, variable speed drive, mixed integer PSO.This dissertation presents a pumping system operation efficiency improvement solution that includes optimal selection and control of the water pump. This solution is formulated based on the performance, operation, equipment and technology (POET) framework. The focus is on the minimization of the operational energy cost. This efficiency improvement solution is divided into three stages in accordance with the operation category of the POET framework. The first stage is to select the optimal pump capacity by considering both energy efficiency and load shifting requirements. The second stage is to develop a flexible pump controlling strategy that combines and balances the contributions from energy efficiency and load shifting. The last stage is to improve the robustness of the control system using the closed-loop model predictive control approach.An optimal pump capacity selection model is formulated. In this model, additional capacity requirements for load shifting are considered along with the traditional energy i efficiency requirements. By balancing the contributions from load shifting and energy efficiency, the operational energy cost can be reduced by up to 37%.An optimal pump control is formulated. The objective of this control model is to balance the energy efficiency and load shifting contributions during the operation and minimize the operational energy cost. This control model is tested under different operational conditions and it is compared to other existing control strategies. The simulation and comparison results show that the proposed control strategy achieves the lowest operational energy cost in comparison to other strategies.This optimal pump control model is further modified into the closed-loop model predictive control format to increase the robustness of the control system under operation uncertainties.A mixed integer particle swarm optimization algorithms is employed to solve the optimization problems in this research. Hierdie verhandeling bied 'n verbeterde oplossing vir die operasionele doeltreffendheid van pompstelsels wat die optimale keuse en beheer van die waterpomp insluit. Hierdie oplossing is geformuleer op 'n raamwerk wat werkverrigting, bedryf, toerusting en tegnologie in ag neem. Die oplossing fokus op die vermindering van bedryfsenergie koste. Hierdie oplossing is onderverdeel in drie fases soos bepaal deur die bedryfskategorie gegrond op die bogenoemde raamwerk: Die eerste fase is die keuse van die optimale pompkapasiteit deur beide energiedoeltreffendheid en lasverskuiwing in ag te neem. Die tweede fase is om 'n buigbare pompbeheer strategie te ontwikkel wat 'n goeie balans handhaaf tussen die onderskeie bydraes van energiedoeltreffendheid en lasverskuiwing.iii Die derde fase is om die stabiliteit van die beheerstelsel te verbeter deur gebruik te maak van 'n geslote-lus behee...

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Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

See 3 more Smart Citations

Optimal sizing and operation of pumping systems to achieve energy efficiency and load shifting

Zhang

Xia

Zhang

2012

Electric Power Systems Research

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Optimal operation scheduling of a pumping station with multiple pumps

Zhuan

Xia

2013

Applied Energy

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Optimal Operation Scheduling of a Pumping Station in East Route of South-to-north Water Diversion Project

Zhuan

Yang

2017

Energy Procedia

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Applications of Hybrid Genetic Algorithm in Frequency Speed Control Pumping Station

Cited by 8 publications

References 3 publications

Optimal sizing and operation of pumping systems to achieve energy efficiency and load shifting

Optimal sizing and operation of pumping systems to achieve energy efficiency and load shifting

Optimal operation scheduling of a pumping station with multiple pumps

Optimal Operation Scheduling of a Pumping Station in East Route of South-to-north Water Diversion Project

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