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Group Intelligent Decision Support System for Power System Skeleton Restoration

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2 Author(s)
Chunyi Wang ; Sch. of Electr. Eng., Shandong Univ., Jinan ; Yutian Liu

Power system skeleton restoration is a typical semi-structured problem and difficult to establish accurate mathematical model. Constrains such as transient overvoltages, sustained power frequency overvoltages, self-excitation, and restoration duration are comprehensively considered in this paper. A model of group intelligent decision support system for power system skeleton restoration is constructed, three parts of which are comprehensive data platform, intelligent control sub-system and group decision support sub-system. The multi-attribute utility theory is employed to dynamically determine next restoration target. This system can not only generate feasible cases for case-based reasoning, but also provide online supports in actual process of restoration.

Published in:

2008 20th IEEE International Conference on Tools with Artificial Intelligence  (Volume:1 )

Date of Conference:

3-5 Nov. 2008