Transmission lines are among the most important power grid equipment in which their removal can
lead to subsequent outages. One of the situations which lead to blackouts is multiple line outages. Therefore,
multiple line outage detections (MLOD) are a necessity in the power system for protection actions. This paper
proposes a fuzzy inference system (FIS) to identify multiple line outages. The proposed FIS can determine multiple
line outage conditions by continuously monitoring the lines circuit breakers (CBs) status. For this purpose, by
introducing the line CBs status as inputs, the status of the predefined line outage scenario is determined as the output
of the proposed FIS. This study is helpful for the power system researchers to make decisions about power system
protection. The proposed fuzzy MLOD system has the advantage of high precision in applying the fuzzy system as
an artificial intelligence tool. For the reason of problem dimensions limitations, in this paper, just single and multiline
outage contingencies are considered for the MLOD problem although the proposed method can be extended to
detect triple and more line outage contingencies by definition the additional fuzzy rules. The proposed fuzzy MLOD
system is tested on IEEE 5-bus system and the results are presented.
Multiple line outage, detection, fuzzy system
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