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Paper #4 
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Effective Control and Management of Pump Station Electrical Equipment
Yerzhan Abdykenov, Karshiga Smagulova, Abror Pulatov, Shuxrat Umarov and Aisaule Zheldikbaeva
Abstract: This study presents an integrated methodological framework for optimizing the control and management of electrical power equipment in municipal pump stations through the combined application of SCADA architecture and adaptive variable frequency drive (VFD) regulation. Unlike conventional approaches based on fixed operational set-points or isolated equipment-level upgrades, the proposed framework enables system-level evaluation of energy efficiency, hydraulic stability, operational reliability, and fault response performance. A mathematical model of pump station operation was developed in MATLAB/Simulink, incorporating key variables such as energy consumption, pipeline pressure, volumetric flow rate, shutdown frequency, and fault recovery time. The framework was validated using real operational data from three municipal pump stations in Taraz, Kazakhstan, representing heterogeneous infrastructure conditions. The results demonstrate a reduction in electrical energy consumption by 15-20%, a decrease in pump shutdown frequency by 50-70%, and a reduction in mean fault recovery time from 4-6 hours to 1-2 hours. In addition, the system reliability coefficient increased from 0.75-0.89 to 0.95-0.98. The simulation results showed strong agreement with field data, with model prediction errors not exceeding 6-8% for key operational parameters. Economic analysis indicates a payback period of approximately 2.2-2.5 years following modernization. The proposed framework provides a transferable decision-support methodology for evaluating and implementing energy-efficient and reliability-oriented control strategies in municipal water supply systems, particularly for aging infrastructure operating under variable hydraulic conditions.
Keywords: Automation; Electrical power engineering; Energy efficiency; Frequency converters; Pump stations; SCADA systems; Water resource management.
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