An Evidential Reasoning Based Approach to Building Node Selection Criterion for Network Reduction

TL;DR

This paper introduces a novel evidential reasoning-based method for selecting nodes in power system network reduction, integrating structural and electrical properties for more accurate reduced models.

Contribution

It develops a comprehensive, quantitative node selection criterion using evidential reasoning, considering multiple criteria and uncertainties, improving network reduction accuracy.

Findings

Enhanced accuracy of reduced power system models

Effective integration of multiple criteria and uncertainty

Validated on a 30-node power grid case study

Abstract

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.