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Construction and Engineering Application of an Anti-Disturbance Control Power Supply System for Key Auxiliary Equipment in Coal-Fired Power Plants Under Weak Grid Conditions Zhao Hancheng
Asian Journal of Social and Humanities Vol. 4 No. 10 (2026): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v4i10.761

Abstract

In response to the frequent occurrence of grid disturbances such as voltage sags caused by the weak grid structure in the area where the Datang Jinguang Kalteng Power Plant in Indonesia is located, which have led to power-loss trips of key auxiliary equipment including the coal feeder control system and motor-operated valves (MOVs), posing a serious threat to the safe and stable operation of the generating units, this study carries out applied research and engineering retrofitting of an anti-grid-disturbance control power supply system. Through systematic analysis of historical grid disturbance characteristics and the tolerance capabilities of coal feeder control equipment, a high-reliability control power upgrade solution based on online double-conversion UPS and an intelligent power distribution system is designed and implemented, establishing a "secure power supply zone" effectively isolated from grid disturbances. The project completed system design, equipment selection, engineering implementation, and commissioning verification on schedule. Operational results demonstrate that the new system significantly improves the power supply reliability of the coal feeder system under grid disturbance conditions, providing a replicable and scalable technical approach for ensuring reliable power supply to key auxiliary equipment in coal-fired power plants located in weak grid regions.
Research on PIMS System Upgrade and Development of Heat Consumption Deviation Analysis System in PLTU Kendari-3 Zhao Hancheng
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 5 No. 7 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/ns9w9e56

Abstract

The increasing complexity of thermal power plant operations requires advanced digital systems capable of managing large-scale operational data to improve efficiency, reliability, and intelligent maintenance. The limitations of conventional Plant Information Management Systems (PIMS), including restricted data storage capacity, inadequate integration with Distributed Control Systems (DCS), and limited analytical capabilities, hinder effective operational decision-making. This study aimed to upgrade the PIMS infrastructure and develop an integrated heat consumption deviation analysis system supported by machine learning technology at PLTU Kendari-3. The research employed an applied engineering research design involving system diagnosis, hardware and software upgrades, DCS-PIMS integration, historical data migration, analytical module development, and post-implementation performance verification. The results showed that the upgraded PIMS successfully expanded historical data storage capacity from 90 days to more than five years, enabled real-time data integration, and provided automated heat consumption deviation analysis. Furthermore, the developed machine learning model achieved equipment fault prediction accuracy exceeding 85%. The implementation also contributed to an approximately 3% improvement in unit operating efficiency, a 5–8% reduction in maintenance costs, and an estimated 3–5-year extension of equipment service life. This study concludes that integrated PIMS modernization combined with intelligent analytics can significantly enhance thermal power plant operations and provide a practical framework for digital transformation toward intelligent operation and maintenance.
Structural Optimization of the Vortex Finder in Cyclone Separators of Circulating Fluidized Bed Boiler Zhao Hancheng
Jurnal Syntax Transformation Vol 7 No 7 (2026): Jurnal Syntax Transformation
Publisher : CV. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jst.v7i7.1147

Abstract

Circulating Fluidized Bed (CFB) boilers are widely applied in industrial power generation due to their fuel flexibility, combustion efficiency, and lower pollutant emissions. However, the vortex finder component in cyclone separators frequently experiences excessive thermal expansion, structural deformation, and performance degradation due to high-temperature exposure, thermal stresses, and continuous particle erosion. These issues can reduce cyclone separation efficiency and compromise the reliability of the overall boiler system. This study aims to develop an integrated structural optimization design for the vortex finder to improve its thermal, mechanical, and operational reliability under harsh CFB boiler operating conditions. The research employed an applied engineering approach that combined failure analysis, finite element analysis (FEA), computational fluid dynamics (CFD) simulations, prototype testing, and field verification. The results revealed that excessive expansion was primarily caused by inadequate expansion compensation, rigid support constraints, and combined thermal-mechanical loading conditions. The proposed optimization scheme, including the use of high-temperature alloy materials, ceramic coatings, flexible expansion joints, redesigned support structures, optimized vortex finder geometry, and improved sealing systems, effectively reduced thermal stress, maintained vortex stability, and enhanced wear resistance. Experimental and field validation confirmed improved structural integrity and sustained cyclone separation performance during operation. In conclusion, the integrated optimization approach provides an effective engineering solution for mitigating vortex finder failure and improving the service life and reliability of cyclone separators in CFB boiler systems.