{"title":"Identifications and Monitoring of Power System Dynamics Based on the PMUs and Wavelet Technique","authors":"Samir Avdakovic, Amir Nuhanovic","volume":39,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":597,"pagesEnd":605,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9575","abstract":"Low frequency power oscillations may be triggered\r\nby many events in the system. Most oscillations are damped by the\r\nsystem, but undamped oscillations can lead to system collapse.\r\nOscillations develop as a result of rotor acceleration\/deceleration\r\nfollowing a change in active power transfer from a generator. Like\r\nthe operations limits, the monitoring of power system oscillating\r\nmodes is a relevant aspect of power system operation and control.\r\nUnprevented low-frequency power swings can be cause of cascading\r\noutages that can rapidly extend effect on wide region. On this regard,\r\na Wide Area Monitoring, Protection and Control Systems\r\n(WAMPCS) help in detecting such phenomena and assess power\r\nsystem dynamics security. The monitoring of power system\r\nelectromechanical oscillations is very important in the frame of\r\nmodern power system management and control. In first part, this\r\npaper compares the different technique for identification of power\r\nsystem oscillations. Second part analyzes possible identification\r\nsome power system dynamics behaviors Using Wide Area\r\nMonitoring Systems (WAMS) based on Phasor Measurement Units\r\n(PMUs) and wavelet technique.","references":"[1] B. Pai, B. Chaudhuri, Robust Control in Power Systems, New York,\r\nSpringer, 2005.\r\n[2] P. Kundur, Power System Stability and Control, New York, McGraw-\r\nHill Inc., 1994.\r\n[3] D. Novosel, M. Begovic, V. Madani, \"Shedding Light on Blackouts\",\r\nIEEE Power and Energy Magazine, vol. 2, February 2004, pp. 32-43.\r\n[4] D. Novosel, V. Madani, B. 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