Promoting synchrony of power grids by restructuring network topologies

Area of Science:

• Electrical Engineering
• Complex Systems
• Network Science

Background:

• Distributed power grids require optimized synchronization for stability.
• Restructuring grid topology is a key approach to enhance synchronizability.
• Node-link dual properties and connection attributes influence grid dynamics.

Purpose of the Study:

• To propose and validate a frequency-correlation optimization scheme for distributed power grid topology.
• To investigate the impact of topology restructuring on grid synchronizability.
• To compare the proposed scheme with existing phase-coherence optimization methods.

Main Methods:

• Developing a frequency-correlation optimization scheme targeting node frequency-correlation functions.
• Applying topology optimization to both sparse and dense power grid networks.
• Comparing frequency-correlation optimization with phase-coherence optimization.

Main Results:

• Successfully optimized topologies for both sparse and dense networks.
• Optimized topologies showed increased generator-consumer connections, favoring decentralization.
• Frequency-correlation optimization demonstrated compatibility with phase-coherence optimization.

Conclusions:

• Decentralized generator distribution in power grids enhances synchronizability.
• The frequency-correlation optimization scheme is an efficient and simpler method for improving grid synchrony.
• Findings inform the design of modern, decentralized power grids with diverse energy sources.