| Summary: | 碩士 === 中原大學 === 電機工程研究所 === 81 === The problem of VAr Planning involves determination of the
amounts and locations of new compensators. Especially,treatment
of multiple cases including various operating points and
contingencies should be taken into account in this problem. In
order to reduce the investment cost, one installation pattern
is hoped to be obtained for satisfaction of multi-case
requirements. In this Dissertation, an enhanced expert system
is presented to solve the VAr planning problem. The difficulty
of dealing with the fixed cost, variable cost and discrete
solution for the new compensator can be overcome via experts'
experiences. More importantly, through description of the fuzzy
set theory to the membership functions of evidences for the
multiple cases, combination of available evidences for fuzzy
inference is implemented in the expert system in order to
reduce the overall investment cost.
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