  A reasonable node selection criterion (NSC) is crucial for the network
reduction in power systems. In contrast to the previous works that only
consider structure property, this paper proposes a comprehensive and
quantitative NSC considering both structural and electrical properties. The
proposed NSC is developed by employing the evidential reasoning approach, in
which the quasi-one-hot encoding is used to determine the evaluation grades of
different criteria or attributes. Then, different criteria are combined through
the multi-evidence reasoning. Eventually, the utility evaluation is used to
derive the quantitative NSC. Besides, the ER can be readily extended to
multiple criteria while considering the uncertainty in the evaluation process
simultaneously. The reduced models with higher accuracy can be built by
combining the proposed NSC with the existing model reduction algorithms. The
case studies on a 30-node power grid substantiate the practicality of the
proposed NSC.
