Research on Efficiency Improvement of Dust Removal High Voltage Power Supply

Abstract
This paper focuses on high voltage power supply systems for industrial dust removal, thoroughly analyzes key factors affecting dust removal efficiency, and proposes efficiency improvement solutions based on power parameter optimization, intelligent control strategies, and system matching design. Research shows that by optimizing power output characteristics, improving control algorithms, and perfecting system matching, the energy efficiency ratio and purification efficiency of dust removal equipment can be significantly improved.
Introduction
Industrial dust removal systems are important equipment for air pollution control, and the performance of their core component high voltage power supply directly affects dust removal effectiveness. Traditional dust removal power supplies suffer from high energy consumption, low efficiency, and poor stability, making it difficult to meet increasingly stringent environmental requirements. This paper explores innovative methods to improve system efficiency from the perspective of power supply technology.
1. Power Parameter Optimization Technology
1.1 Output Voltage Waveform Optimization
Research indicates that using composite waveforms combining pulse width modulation (PWM) with DC superposition can significantly improve dust charging efficiency. By adjusting pulse frequency (5-20kHz) and duty cycle (30-70%), energy consumption can be reduced by over 30% while maintaining dust removal effectiveness.
1.2 Dynamic Impedance Matching
Developing adaptive impedance matching algorithms to monitor the electric field status in real-time and automatically adjust output voltage (40-100kV) and current (10-500mA), keeping the power supply operating at the optimal load point, improves system efficiency by 15-25%.
2. Intelligent Control Strategies
2.1 Fuzzy PID Control
Adopting a composite control algorithm combining fuzzy logic with PID enables precise adjustment of power output. Compared with traditional PID control, response speed increases by 40% and output stability improves by 35%, especially suitable for dust removal scenarios with variable working conditions.
2.2 Predictive Maintenance System
A fault prediction model based on big data analysis monitors key parameters (such as insulation resistance, temperature, waveform distortion rate) to provide early warnings of potential failures, increasing equipment availability to over 99.5%.
3. System Matching Design
3.1 High-Frequency Transformer Optimization
Using nanocrystalline alloy cores and high-frequency insulation materials increases operating frequency to over 50kHz, reduces volume by 40%, and improves efficiency to 98%. Optimized winding structure reduces distributed capacitance and leakage inductance, minimizing energy loss.
3.2 Intelligent Cooling System
Integrating temperature sensor networks and variable frequency fans dynamically adjusts cooling intensity based on real-time temperature rise curves, keeping critical component temperature rise within 15℃, extending equipment lifespan by over 30%.
4. Application Effect Analysis
In a dust removal system renovation project at a steel plant, application of these technologies achieved remarkable results:
Dust removal efficiency improved from 99.2% to 99.9%
Unit energy consumption reduced by 42%
Maintenance intervals extended to 3 times original duration
Equipment failure rate decreased by 80%
Conclusion
Comprehensive application of power parameter optimization, intelligent control strategies, and system matching design can significantly improve the efficiency of dust removal high voltage power supplies. With the development of wide-bandgap semiconductor devices and artificial intelligence technology, dust removal power supplies will evolve toward higher efficiency and greater intelligence, providing more reliable technical support for industrial environmental protection.