Evolution of Real-Time Dynamics Monitoring of Colombian Power Grid Using Wide-Area Monitoring System and High-Speed Big Data Analytics

4Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

To ensure the reliability and security of Colombia’s national power system, there is an ongoing necessity for upgrades in monitoring and protection mechanisms. Approximately sixteen years ago, the introduction of synchrophasor measurements enabled the swift detection of potentially network-detrimental events. Subsequent advancements have seen the deployment of Phasor Measurement Units (PMUs), currently tallying 150 across 25 substations, facilitating real-time monitoring and analysis. The growth of the PMU network is pivotal for the modernization of the National Control Center, particularly in the face of complexities introduced by renewable energy sources. There is an increasing demand for data analytics platforms to support operators in responding to threats. This paper explores the development of the Colombian Wide-Area Measurement System (WAMS) network, highlighting its milestones and advancements. Significant contributions include the technological evolution of the WAMS for real-time monitoring, an innovative high-speed data analytics strategy, and tools for the monitoring of frequency, rate of change of frequency (RoCoF), angular differences, oscillations, and voltage recovery, alongside industry-specific criteria for real-time assessment. Implemented within an operational WAMS, these tools enhance situational awareness, thereby assisting operators in decision-making and augmenting the power system’s reliability, security, and efficiency, underscoring their significance in modernization and sustainability initiatives.

Cite

CITATION STYLE

APA

Bustamante, S., Pinzón, J. D., & Giraldo-Gómez, D. (2025). Evolution of Real-Time Dynamics Monitoring of Colombian Power Grid Using Wide-Area Monitoring System and High-Speed Big Data Analytics. Sustainability (Switzerland), 17(9). https://doi.org/10.3390/su17093848

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free