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Fuzzy reasoning for knowledge-based assessment of dynamic voltage security

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4 Author(s)
S. K. Tso ; Centre for Intelligent Design, Autom. & Manuf., City Univ. of Hong Kong, Hong Kong ; T. X. Zhu ; Q. Y. Zeng ; K. L. Lo

An easy-to-use knowledge-based fuzzy approach is proposed to evaluate the dynamic voltage security including both voltage collapse and unacceptable voltage profiles following disturbances. The dynamic voltage-stability behaviour of the power system, however complex and nonlinear in nature, is simply mapped into a fuzzy severity index by means of approximate fuzzy reasoning and a series of fuzzy calculus. In addition to providing a mere two-region demarcation, the fuzzy severity index can also generally give a relative severity indication to discriminate between various post-disturbance system states. A systematic methodology for initial fuzzy-parameter setting and fuzzy-variable selection is also presented and discussed

Published in:

IEE Proceedings - Generation, Transmission and Distribution  (Volume:143 ,  Issue: 2 )