Identification of Critical Transmission Lines in Complex Power Networks

Abstract

Growing load demands, complex operating conditions, and the increased use of intermittent renewable energy pose great challenges to power systems. Serious consequences can occur when the system suffers various disturbances or attacks, especially those that might initiate cascading failures. Accurate and rapid identification of critical transmission lines is helpful in assessing the system vulnerability. This can realize rational planning and ensure reliable security pre-warning to avoid large-scale accidents. In this study, an integrated "betweenness" based identification method is introduced, considering the line's role in power transmission and the impact when it is removed from a power system. At the same time, the sensitive regions of each line are located by a cyclic addition algorithm (CAA), which can reduce the calculation time and improve the engineering value of the betweenness, especially in large-scale power systems. The simulation result verifies the effectiveness and the feasibility of the identification method.

Approximate Analysis of Multi-State Weighted k-Out-of-n Systems Applied to Transmission Lines

“…However, some engineering systems such as power/oil lines transmission systems perform the intended tasks at multiple performance levels, which indicates the system's capability (electric power, oil, etc.) from perfectly operational to completely out-of-order [4]. Another example is of a power generator in a power station that can work at full capacity; however, some types of failure cause the generator to completely fail and other failures lead to the generator working at a reduced capacity.…”

Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method

“…The impact of removing line k is determined by the following steps. Let F 1 ov (L k ) = K oa and remove line k in the next moment (i.e., t = 1), and the equivalent structural loads and load bearing functions of other lines in the power network after removing line k are determined using Equations (13) and (14). If new lines overload at this time, t = t + 1, remove the overloaded line with the highest load bearing function from the power system and calculate the load bearing functions of other lines again.…”

“…Three states of the line, i.e., normal state, overload state and failure state, are considered in Equation (14).…”

“…In [13], a vulnerable transmission line identification method is proposed using the improved structural hole theory, converting the critical lines identification in power systems into critical nodes evaluation in correlation networks. In [14], an integrated "betweenness" index is utilized to identify critical lines with the line's role in the transmission of power flow and the impact of removing lines on power systems considered. In [15], three indexes (i.e., the weighted reactance betweenness index, the relation degree index based on node degree and the status importance index based on active power) considering both operation state and network topology of power systems are proposed for the critical lines identification.…”

Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event

“…It requires a detailed testing and analysis to obtain the degree of vulnerability. Graph theory analysis was used by [57][58][59][60][61][62][63][64][65][66] to calculate the vulnerability of the grid topology. However, from the point of view of the power system, the important thing is the result of the vulnerability analysis, which is generally easy to understand through a vulnerability curve [67][68][69].…”