# PWM DAC based Input System for Synchrophasor Algorithm Testing

Thilakarathne Mudiyanselage, C, Meegahapola, L, Fernando, W and Niakinezhad, M 2018, 'PWM DAC based Input System for Synchrophasor Algorithm Testing', in Proceedings of the 8th International Conference on Power and Energy Systems (ICPES 2018), Colombo, Sri Lanka, 21-22 December 2018, pp. 93-97.

 Document type: Conference Paper Conference Papers

Title PWM DAC based Input System for Synchrophasor Algorithm Testing Thilakarathne Mudiyanselage, C Meegahapola, L Fernando, W Niakinezhad, M 2018 ICPES 2018 Colombo, Sri Lanka 21-22 December 2018 Proceedings of the 8th International Conference on Power and Energy Systems (ICPES 2018) IEEE United States 93 97 5 Synchrophasor technology is an emerging wide-area monitoring system (WAMS) technology that provides near-real-time stability assessment capability for power networks under both static state and dynamic conditions. The accuracy and latency of the measured synchrophasor directly depend on the synchrophasor assessment algorithm and thus, many research studies are conducted by developing a plethora of synchrophasor algorithms based on several mathematical models. However, majority of these algorithms are tested on simulation platforms due to the inherent complexities in developing a hardware based comprehensive test set-up for synchrophasor performance evaluation, which limits the adoption of such algorithms in industrial applications. This study presents a pulse-width modulation (PWM) based laboratory scale input system for generating all the synchrophasor test cases defined in the IEEE std. $\mathrm {C}37.118.1/1\mathrm {a}.$ Performance of the proposed system is validated by rigorous testing across several test cases and comparison of results in both simulation and hardware platforms. Industrial Electronics distributed power generation Lyapunov methods phasor measurement power system stability SCADA systems SCADA systems 10.1109/ICPESYS.2018.8626958 © 2018 IEEE 9781538660294
 Versions Version Filter Type Tue, 30 Apr 2019, 12:17:54 EST Filtered Full
Citation counts: Cited 0 times in Thomson Reuters Web of Science Article Cited 0 times in Scopus Article 22 Abstract Views  -  Detailed Statistics Mon, 29 Apr 2019, 13:04:00 EST by Catalyst Administrator