The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 28-678
Full Name: Anant Oonsivilai
Position: Assistant Professor
Age: ON
Sex: Male
Address: 111 University Street, Muang District, Suranaree University of Technology,Nakhon Ratchasima, 30000
Country: THAILAND
Tel: 660815487728
Tel prefix: 66
Fax: 66044224601
E-mail address: anant@sut.ac.th
Other E-mails: kenedyaliila@yahoo.com
Title of the Paper: Alternative Technique of Classifying PMUs at Optimal Environment in POwer System
Authors as they appear in the Paper: Kenedy A. Greyson, Anant Oonsivilai
Email addresses of all the authors: kenedyaliila@yahoo.com, anant@sut.ac.th
Number of paper pages: 10
Abstract: This paper presents an alternative technique of classifying measuring units in a measuring optimal environment of a power system. Each measurement is given a certain weight depending on its effect on state estimation solution. The technique used is to fit curve fitting to determine the optimal approximation in the absence of other measurements. Absence of measurement may be due to the lack of communication links, being identified as a bad measurement and that it has to be removed, or for any other reason that may apply. To obtain the measurement unit placement, singular value decomposition (SVD) technique was used to solve the problem of minimum number of measurements placement while maintaining accuracy as well as network observability. The relative error is used to compare the change in estimated solution related to the true value. Finally, the critical and non critical measurements are identified in the system. The proposed method is applied to determine the mea!
surement weights of the measurements weights of optimal PMU weights in state estimator solutions for the IEEE 14-bus, IEEE 30-bus and Tanzania Electric Supply Company (TANESCO) systems.
Keywords: Measurement placement, accuracy, weight, state estimation, coefficient of determination
EXTENSION of the file: .pdf
Special (Invited) Session: Identifying Critical measurements in the Power System Network
Organizer of the Session: 603-197
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