Use of PMU-Based Software Platform to Provide Real-Time Situational Awareness for Bronzeville Community Microgrid

• Published in: 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) pp. 1 - 5
• Main Authors: Gurung, Niroj, Kothandaraman, Sri Raghavan Raghav, Zhang, Liuxi Calvin, Chen, Heng Kevin, Rahmatian, Farnoosh, Vaiman, Michael Y., Vaiman, Marianna M., Povolotskiy, Mark, Karpoukhin, Mikhail
• Format: Conference Proceeding
• Language: English
• Published: IEEE 12-10-2020
• Subjects: bad data detection; Distribution Linear State Estimation (D-LSE); microgrid; Microgrids; Observability; observability analysis; Phasor measurement units; Phasor measurement units (PMUs); Real-time systems; Smoothing methods; Switches; topology change detection; Voltage measurement
• ISSN: 2160-8563
• DOI: 10.1109/TD39804.2020.9299898

This paper describes the demonstration of synchrophasor-based application for real-time monitoring, analysis, and situational awareness of ComEd Bronzeville Community Microgrid (BCM). A real-time situational awareness platform described in this paper utilizes Phasor Measurement Units (PMU) for distribution three phase linear state estimation, including observability analysis, bad data detection, optimal PMU placement, and topology change detection. Demonstration of the PMU-based platform was performed in ComEd's real-time digital simulation (RTDS) environment.