Holocaust Evacuation System using IOT
Saranya C1, Harini Pavithra2, Karpaga Priyaa K3
1Saranya C, CSE, Sri Sairam Engineering College, Anna University, Chennai, India.
2Harini Pavithra, CSE, Sri Sairam Engineering College, Anna University, Chennai, India.
3Karpaga Priyaa K, CSE, Sri Sairam Engineering College, Anna University, Chennai, India.
Manuscript received on 12 August 2019. | Revised Manuscript received on 17 August 2019. | Manuscript published on 30 September 2019. | PP: 4665-4668 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6844098319/2019©BEIESP | DOI: 10.35940/ijrte.C6844.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper explores the method of early detection and prevention of aperiodic small signal rotor angle (ASD) instability. A criterion for ASD stability detection is tested on a synthetic system. Sensitivity analysis is utilized to seek the node that would have the most influence on the generator undergoing said instability. The assessment of a suggested countermeasure is carried out to determine whether the system will sustain the stable state. Three case studies on the synthetic system, in the form of generator fault, three phase symmetrical fault and double line to ground fault, are also performed to test the method of early detection.
Keywords: Stability, Rotor Angle, PMU, Sensitivity Analysis.
Scope of the Article: IoT