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Nanjing Cigarette Factory, Jiangsu Branch of China Tobacco Industrial Co., Ltd.,Nanjing, Jiangsu Province,210000;
Abstract:Continuous production leaves no room for unstable power supply in cigarette manufacturing, and low-voltage distribution systems carry hidden safety risks that cannot be brushed off amid smart grid technology iteration. Few existing studies focus on the unique coupling conflict between smart grid dynamic scheduling and cigarette enterprises’ 24-hour fixed full-load demand, leaving a targeted governance gap for tobacco manufacturing. This paper draws from on-site renovation practices of industrial power distribution equipment at Nanjing Cigarette Factory and current national technical specifications, targeting three typical hidden hazards troubling low-voltage distribution networks in tobacco enterprises. Frequent harmonic interference from frequency conversion equipment erodes power quality, slow insulation aging of core equipment raises long-term failure risks, and lagging fault response often escalates minor issues into full production halts. A multi-dimensional safety guarantee system is built, integrating intelligent real-time monitoring, industry-tailored hardware upgrading, and standardized on-site operation and maintenance mechanisms. Practical verification spanning 10 months in Nanjing Cigarette Factory shows the optimized scheme steadily improves power supply reliability, and brings electrical accident risks under controllable range, supporting the stable power demand of 24-hour continuous production. The scheme carries certain reference value for peer enterprises in continuous process manufacturing, yet it is not fully universal; adaptive adjustment based on production scale and equipment configuration is still required for different scenarios, especially small-scale factories with limited budget, which is the core conclusion drawn from field practice and theoretical analysis.
Keywords:Smart Grid; Low-voltage Power Distribution; Safety Operation; Industrial Power Supply; Power Quality Control
References
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