Optimum placement of PMU for wide area measurement systems
Author(s): Mohan L. Kolhe*,a, N.P. Patidarb, Laxmikant Nagarc, Akshay Sharmad, Vikash K. Singhe
International Journal of Smart Grid and Clean Energy, vol. 7, no. 3, July 2018: pp. 159-169
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.7.3.159-169
Keywords: Inter-area oscillations, residue approach, geometric measures, power system stabilizer (PSS), Phasor Measurement Unit (PMU)
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a Faculty of Engineering & Science, University of Agder, PO Box 422, NO 4604, Kristiansand, Norway
b M.A. National Institute of Technology, Bhopal, India
c University Institute of Technology, RGPV, Bhopal, India
d Power Grid Corporation of India Ltd., Betul, India
e Faculty of Computronics, I.G. National Tribal University, Amarkantak, 484 886, India
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.7.3.159-169
Abstract: This paper presents identification of a best selection process for selecting the most effective stabilizing signal to improve damping of inter area oscillations in a multimachine power system. Phasor Measurement Units or PMUs are a key element of the Wide Area Measurement Systems (WAMS). The large amount of data collected by PMUs need to be channelized to regional and global data centers where real-time state estimation, and protection, stabilization decisions are made. It is shown in this paper that how different signal selection techniques provides different control loop for damping of a particular inter area mode of oscillations. In spite of these the controller locations were obtained for optimum placement of phasor measurement units for wide area measurement systems. It is resulted from the two area 4 machine system that the HSV based signal selection approach performs excellent in both small and large disturbance for the test system compared to both residue and geometric measure of joint controllability and observability approach. Non-linear simulations are carried out in order to evaluate the performance of different approaches of signal selection under study.
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