Experimental study on on-line grasp of operating condition of longitudinal power system by use of SMES

• Published in: IEEE transactions on applied superconductivity Vol. 11; no. 1; pp. 1924 - 1927
• Main Authors: Nitta, T., Mohri, S., Shirai, Y., Taniguchi, H., Kitauchi, Y., Morioka, Y., Kawada, K.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: New York, NY IEEE 01.03.2001; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Direct energy conversion and energy accumulation; Disturbances; Electric utilities; Electrical engineering. Electrical power engineering; Electrical power engineering; Electro- and magnetofluidodynamics conversion; Energy storage; Exact sciences and technology; Frequency; Load fluctuation; On-line systems; Power system analysis computing; Power system measurements; Power system simulation; Power system transients; Power systems; Resonant frequency; Rotating machines; Samarium; Simulation; Small & medium sized enterprises-SME; Superconducting magnetic energy storage; Superconductivity; Transformers
• ISSN: 1051-8223; 1558-2515
• DOI: 10.1109/77.920227

SMES (superconducting magnetic energy storage) system has excellent ability as not only an energy storage system but also a power system stabilizer, a load fluctuation compensator and so on. A new application of SMES in a power system has been proposed, that is, for on-line grasp of power system operating conditions. This paper shows the possibility and validity of the proposed application of SMES by use of a small SMES system and power system simulator of rotating machine type. The experimental system is a longitudinal four machine power system. It was confirmed the SMES can give a small power swing of known pattern without affecting operating conditions of the power system. On-line data of response due to the small power disturbance of SMES were analyzed to obtain natural frequencies and eigenvectors of the power system operated. The power system operating condition was estimated by these data. This application can be easily used with a SMES of small size.