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A Multi-Level Operation Method for Improving the Resilience of Power Systems under Extreme Weather through Preventive
Chenghao Li1, Di Zhang1, Ji Han2
1Electric Power Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450000, China.
Sensors (Basel, Switzerland)
|March 28, 2024
Summary
This study introduces a new method to improve power system resilience during extreme weather using advanced failure prediction and virtual oscillator (VO) control. The virtual oscillator control strategy significantly enhances frequency stability compared to traditional methods.
Area of Science:
- Electrical Engineering
- Power Systems Engineering
- Control Systems
Background:
- Extreme weather events pose significant threats to power system stability and reliability.
- Traditional frequency control methods often struggle with rapid disturbances and achieving quick stabilization.
Purpose of the Study:
- To develop a multi-level operation method for enhancing power system resilience against extreme weather.
- To improve the speed and accuracy of frequency regulation and fault prediction in power systems.
Main Methods:
- A novel model for predicting time intervals between power system failures during extreme weather.
- A preventive control strategy considering system ramping and transmission constraints before failures.
- A virtual oscillator (VO)-based adaptive frequency control strategy.
Main Results:
- Accurate prediction of line fault occurrence time with a maximum error of 3 minutes.
- Virtual oscillator control (VOC) achieved frequency stabilization within 2 seconds.
- VOC outperformed traditional droop control, which showed fluctuations beyond 20 seconds.
Conclusions:
- The proposed method enhances power system resilience and reliability under extreme weather conditions.
- Virtual oscillator control demonstrates superior effectiveness in frequency stabilization and control compared to droop control.
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