Performance Analysis of Routable GOOSE Security Algorithm for Substation Communication through Public Internet...

Area of Science:

• Electrical Engineering
• Power Systems
• Cybersecurity

Background:

• Traditional power grids are evolving towards increased efficiency, necessitating advanced data acquisition methods.
• Current substation protection relays are limited by relying solely on internal data, hindering accurate system change detection.
• Acquiring data from external substations, including microgrids, is essential for next-generation power systems.

Purpose of the Study:

• To propose a secure method for acquiring data from external substations for enhanced power system monitoring.
• To address the challenges of cost and security in inter-substation data acquisition.
• To develop a data aggregator utilizing a novel communication protocol.

Main Methods:

• Applying security enhancements to the R-GOOSE protocol, as defined in the IEC 61850 standard.
• Utilizing a public internet network for data transmission between substations.
• Developing a data aggregator specifically designed for R-GOOSE communication.

Main Results:

• Demonstrated the feasibility of acquiring data from external substations using the proposed secure R-GOOSE method.
• Successfully developed and tested a data aggregator capable of collecting data via R-GOOSE.
• Showcased the potential for improved system monitoring and efficiency in next-generation substations.

Conclusions:

• The proposed secure R-GOOSE approach enables cost-effective and secure data acquisition from external substations.
• This method overcomes previous limitations of relying solely on internal substation data.
• The developed data aggregator facilitates enhanced real-time monitoring and control of distributed power systems.