Distributed Secure Economic Dispatch Strategy Based on Robust Graph Theory and W-MSR Algorithm.

Area of Science:

• Electrical Engineering
• Control Systems
• Cybersecurity

Background:

• Traditional distributed economic dispatch strategies are vulnerable to information attacks, leading to convergence issues and power imbalance.
• Attacks on individual power generation units can compromise the entire distributed control system's reliability.

Purpose of the Study:

• To develop a robust distributed economic dispatch strategy resilient to various information attacks.
• To analyze the impact of different attack models on distributed economic dispatch systems.
• To ensure system convergency and maintain economic efficiency under adversarial conditions.

Main Methods:

• Modeling node attacks based on action mode and deployment scope.
• Synthesizing a distributed security consensus strategy using the W-MSR algorithm and incremental cost as the consensus variable.
• Analyzing communication network topology using the graph robustness index.

Main Results:

• The proposed strategy effectively counters diverse information attacks in a simulated IEEE-39 bus system.
• The security and economic efficiency of the distributed economic dispatch system are significantly enhanced.
• A (F + 1, F + 1)-robust graph is identified as a necessary and sufficient condition for achieving dispatch strategy consensus.

Conclusions:

• The developed strategy provides a robust solution against information attacks in distributed economic dispatch.
• The findings contribute to securing critical infrastructure in power systems.
• The research validates the effectiveness of the W-MSR algorithm in enhancing distributed system security.