Assessment of power grid vulnerabilities accounting for stochastic loads and model imprecision

Abstract

© 2017 Elsevier Ltd Vulnerability and robustness are major concerns for future power grids. Malicious attacks and extreme weather conditions have the potential to trigger multiple components outages, cascading failures and large blackouts. Robust contingency identification procedures are necessary to improve power grids resilience and identify critical scenarios. This paper proposes a framework for advanced uncertainty quantification and vulnerability assessment of power grids. The framework allows critical failure scenarios to be identified and overcomes the limitations of current approaches by explicitly considering aleatory and epistemic sources of uncertainty modelled using probability boxes. The different effects of stochastic fluctuation of the power demand, imprecision in power grid parameters and uncertainty in the selection of the vulnerability model have been quantified. Spectral graph metrics for vulnerability are computed using different weights and are compared to power-flow-based cascading indices in ranking N-1 line failures and random N-k lines attacks. A rank correlation test is proposed for further comparison of the vulnerability metrics. The IEEE 24 nodes reliability test power network is selected as a representative case study and a detailed discussion of the results and findings is presented

A New Identification Approach of Power System Vulnerable Lines Based on Weighed H-Index

“…• PageRank algorithm (PRA) [33] • Cascading index (CEI) [27], [41] Table 3 shows the comparison of the first 12 lines of the different methods. From the perspective of accuracy, the identification accuracy of WH is higher than that of other methods.…”

“…In addition, we further compared WH with pure and extended spectral vulnerable metrics under N -1 contingency proposed in [27]. We choose the two different weights of f l (power flow in the line) and PR l (line percentage of rating, different from the PageRank algorithm in [33]) for each line.…”

“…Recently, the method of constructing dual graphs based on the cascading failure process has attracted great interest from scholars [26]. Power network structure was modeled as weighted or unweighted undirected graphs, and cascading index, pure and extended spectral metrics were used to assess the vulnerable lines [27]. Further, a correlation network based on N-1 contingency was established in [28].…”

Robustness assessment of the expansion of coupled electric power and natural gas networks under cascading failures

“…Here, it is shown that the robustness of the power system could be subject to the average shortest path length measure and the location of the generators. Other researchers, such as [18, 19], have included risk assessments and stochastic variables to assess the vulnerability of the power system, respectively.…”

Dynamic Safety Assessment in Nonlinear Hydropower Generation Systems

“…Safety assessment has been extensively studied in many fields and has also obtained significant outcomes [12][13][14][15]. Conversely, the safety assessment in hydropower stations is still in the development stage.…”