Analysis of the Energy Efficiency of Pressure Stabilization Cascade Pump System

Pechenik, Mykola; Burian, Serhii; Pushkar, Mykola; Zemlianukhina, Hanna

doi:10.1109/mees.2019.8896588

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…The frequency converter implements the quadratic law of frequency control 2  U f const [9]. The pressure regulator is set to the PI control law [10] and provides stabilization of the network pressure at a given level.…”

Section: Materials and Results Of The Researchmentioning

confidence: 99%

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Investigation of Energy Efficiency of Water Supply System When Powered by an Alternative Energy Source

et al. 2022

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The nature of the efficiency change in pump systems powered by an alternative source of electricity in conditions of a given pressure stabilization is investigated. An electromechanical water supply system powered by an alternative energy source using a static compensator (STATCOM) is considered. The observer of energy efficiency of the pump installation based on theory of artificial neural networks, which training occurs on the basis of static characteristics of the unit, is constructed. The results and analysis of investigations of the efficiency level changes during a typical daily cycle of water consumption are shown. References 12, figure 5.

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Section: Materials and Results Of The Researchmentioning

confidence: 99%

“…During the research, the nature of the change the value of hydraulic resistance was adopted on the basis of one of the typical schedules of water consumption within the daily water supply cycle of residential buildings [10]. The graph of hydroresistance changes of the network is shown in Fig.…”

Section:   mentioning

confidence: 99%

Investigation of Energy Efficiency of Water Supply System When Powered by an Alternative Energy Source

et al. 2022

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“…The frequency converter of the pump unit is configured to work out the standard quadratic law of frequency control 2 U f const  [18]. To implement the system of pressure stabilizing of the hydraulic network at a given level, a pressure controller configured for the PI control law was used the mathematical description of which is presented in the paper [19].…”

Section: Main Part Research Resultsmentioning

confidence: 99%

“…If more accurate results are desired, the network can be retrained. One of the typical schedules of water consumption within the daily water supply cycle of residential buildings was adopted for research [19], [20]. The schedule of changes of the network hydraulic resistance is shown in Fig.…”

Section: Source: Compiled By the Authorsmentioning

confidence: 99%

Neural network pressure observerfor a turbomechanism electromechanical system powered by a wind generator

Burian¹,

Zemlianukhina²

2022

AAIT

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Ecological and economic production of electrical energy through the use ofalternative energy sources is an urgent direction due to the trend of increasing prices of energy carriers used in the electrical energy production and as a result of significant damage of the energy system of Ukraine in consequence of the war on the country territory.It is worth noting that in some areas it is possible to use only autonomous power generation systems, since the laying of electrical networks in these districts is impractical and unprofitable. Usually, the mentioned systems are basedon a combination of a wind or hydro turbine -drive motor, and an electric generator. Such systems are characterized by high resource, reliability, low cost,and complexity of maintenance. Sometimes people's lives and the possibility of communication withthe outside world depend on the operation of an autonomous electric power generation system, which is especially important in the conditions of martial law. At the same time, the lack of stabilization of the hydraulic networkpressureof the water supply system can lead to the household conditions aggravation, the emergency situations occurrence, and the technological process disruption.In view of the mentioned factors, there is a need to measure the pressure of the hydraulic network, which is possible byusing technological coordinatesobserversbuilt on the basis of the artificial networks theory. In the paper a modern turbomechanism electromechanical control systempowered by an alternative electrical energy source under the conditions of pressure stabilization of thehydraulic network when using atechnological coordinatesobserver, namely a pressure estimator, is proposed. A mathematical description of the main elements of the investigatedsystem is given. A hydraulic network pressure observerbased onthe artificial neural networks theory isbuilt and studied. Features of design and training of technological coordinate estimators based on neural networks with feedback are described. The operation of the sensorless system during thepressure stabilization at a given level when the resistance of the hydraulic network changes within the typical daily cycle of water consumption is considered on a specific example. The results and analysis of the investigationof the developed observerin standard and sensorless control systems are shown.

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“…Proportional Integral (PI) control development was showed in [ 20 ], whose objective was to increase the energy efficiency and reliability of water pumping units with cascade pumps. The dynamic error for two cascade pumps did not exceed 3% and also reduced the energy losses per one-day cycle by 30%.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Pressure Control System Based on the Maximum Correntropy Criterion

Flores

Villanueva

Gomes

et al. 2021

Sensors

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Water supply systems are constantly improving their operation through energy efficiency actions that involve the use of advanced measurement, control, and automation techniques. The maintenance and reliability of water distribution is directly associated with hydraulic pressure control. The main challenges encountered in hydraulic pressure control are associated with random changes in the supply plant and the presence of noise and outliers in the sensor measurements. These undesired characteristics cause inefficiency and instability in the control system of the pumping stations. In this scenario, this paper proposes an indirect adaptive control methodology by reference model for modeling and controlling water supply systems. The criterion adopted in the parametric estimation mechanism and the controller adaptation is the Maximum Correntropy. Experimental results obtained with an experimental bench plant showed that the maximum tracking error was 15% during demand variation, percentage overshoot less than 5%, and steady-state error less than 2%, and the control system became robust to noise and outliers. In comparison to the Mean Squared Error criterion, when noise and outliers influence the sensor signal, the proposed methodology stands out, reducing the mean error and the standard deviation, in the worst-case scenario, by more than 1500%. The proposed methodology, therefore, allows for increased reliability and efficiency of an advanced pump control system, avoiding downtime and equipment damage.

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Analysis of the Energy Efficiency of Pressure Stabilization Cascade Pump System

Cited by 9 publications

References 6 publications

Investigation of Energy Efficiency of Water Supply System When Powered by an Alternative Energy Source

Investigation of Energy Efficiency of Water Supply System When Powered by an Alternative Energy Source

Neural network pressure observerfor a turbomechanism electromechanical system powered by a wind generator

Adaptive Pressure Control System Based on the Maximum Correntropy Criterion

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