False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture

Area of Science:

• Electrical Engineering
• Power Systems
• Cybersecurity

Background:

• Increasing distributed generation (DG) in power distribution networks (DNs) challenges voltage regulation.
• Cyberattacks pose significant security and reliability risks for distribution system operators (DSOs).

Purpose of the Study:

• To analyze the impact of false data injection on centralized voltage regulation systems.
• To assess the effectiveness of current security measures against sophisticated cyber threats.

Main Methods:

• Developed a configurable false data generator algorithm for energy sector analysis.
• Tested false data injection scenarios on the IEEE 118-bus system with high DG penetration.

Main Results:

• False data injection significantly impacts voltage regulation, potentially causing electricity interruptions.
• The study demonstrated voltage limit violations due to manipulated data.

Conclusions:

• Enhanced security frameworks are essential for DSOs to mitigate risks from false data injection.
• Proactive security measures are necessary to ensure the reliability of power distribution networks with DG.