UPS Predictive Control for Multi-Converter Stability
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Solution Overview
Problem
Existing UPS systems face challenges with complex multi-converter control and low reliability, particularly in high-power applications with increasing complexity and harsh conditions.
Innovation Solution
An electrical state quantity prediction method and control system for UPS systems, using calculation formulas to predict AC output, voltage, and current values, and an optimization function to determine optimal switch states, facilitating comprehensive optimization and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional control methods (e.g., PI control) are used in multi-converter UPS systems, then the system structure is relatively simple, but the control stability and reliability are low
Solution Approach 1:
The patent applies predictive control by calculating predicted values of electrical state quantities (current, voltage, power) before the control action is executed. The controller predicts future states based on current state and control inputs, then determines optimal control actions based on these predictions. This preliminary prediction mechanism enables proactive control adjustments that improve stability and reliability in multi-converter UPS systems.
2Reliability
If complex multi-converter control is implemented to improve UPS performance, then the reliability may improve, but the control complexity increases significantly
Solution Approach 1:
The patent segments the control of each converter (rectifier, inverter, bidirectional converter) with dedicated control modules that independently calculate predicted values and determine control actions for their respective converters. This segmentation allows complex multi-converter control to be broken down into manageable independent control tasks, reducing overall control complexity while maintaining system reliability through coordinated operation of individual converter controllers.
3Adaptability or versatility
If the UPS system operates in harsh conditions with increasing load complexity, then the adaptability improves, but the control stability deteriorates
Solution Approach 1:
The patent implements dynamic control by continuously updating predicted values of electrical state quantities based on real-time system state and load conditions. The predictive control algorithm dynamically adjusts control actions for each converter according to changing load requirements and system conditions, enabling the UPS to adapt to harsh conditions and varying load complexities while maintaining control stability through proactive adjustments.
Data Source
AI summary
The present invention discloses an electrical state quantity prediction method and system and a control method and system for a UPS system. In terms of UPS system control strategies, relationships between predicted values of dynamic variables of the UPS system and switch variables of switch tubes are first obtained through a discrete model of the UPS system, then a target optimization control function is constructed based on MPC (Model Predictive Control), and finally, optimal switch variables at each time are obtained by traversing cost values Q of the target optimization control function in various switch states. The method of the present invention solves problems of complex cooperative control, difficult control optimization and the like in a multi-converter system, and improves work efficiency of a high-power UPS system and stability of the control system.