Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation

Area of Science:

• Electrical Engineering
• Computer Science
• Renewable Energy Systems

Background:

• Photovoltaic (PV) power generation control systems require high-performance processors for advanced maximum power point tracking (MPPT) algorithms.
• Processor reliability in complex PV field environments is a critical challenge impacting system stability and efficiency.

Purpose of the Study:

• To develop a novel processor system that balances high performance and reliability for PV power generation.
• To address the limitations of traditional MPPT controllers in demanding environmental conditions.

Main Methods:

• Designed a redundancy-mode switchable three-core processor system utilizing error rate and performance as joint switching metrics.
• Developed optimization methods to enhance reliability while maintaining high performance.
• Employed an error injection method and analyzed an error rate probability model for system verification.

Main Results:

• The proposed system demonstrated a reliability approximately 5.58 times greater than non-fault-tolerant systems.
• System performance was enhanced by 26% compared to highly reliable triple modular redundancy systems.
• Efficient adaptive switching was achieved through joint statistical analysis of error rate and performance.

Conclusions:

• The redundancy-mode switchable processor system significantly improves both reliability and performance in PV applications.
• The approach offers a viable solution for the increasing computational demands and environmental challenges in PV power generation.
• This work contributes to the development of more robust and efficient intelligent control systems for solar energy.