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Monitoring and control strategy of power system stability based on the restoration characteristics index

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3 Author(s)
Y. Tamura ; Dept. of Electr. Eng., Waseda Univ., Tokyo, Japan ; Y. Huang ; S. Tsukao

The authors discuss a knowledge base for power system stability in an AI/expert system environment. With the knowledge on parametric resonance, a power system is interpreted as a restoration characterized system, in which the 'jump phenomena' could occur due to the ill-combination of the system parameters. A stability index, called the restoration characteristics index (RCI), is derived by considering the specific combination of parameters to make the resonance curve triple-valued. And considerations on the monitoring and control strategy for AI/expert system approach are discussed.

Published in:

Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of

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