A Method for Ranking Critical Nodes in Power Networks Including Load Uncertainties

Abstract

This paper presents a new method for ranking critical nodes in bulk power systems. The proposed approach is able to offer a list of nodes or substations, from which system planners can easily identify those facilities with more urgent investment needs. The ranking process includes both static (via optimal power flow) and dynamic (via transient stability) performance analyses to assess deterministic indices. These indices measure the static and dynamic vulnerabilities of the network. As an extension of the deterministic approach, a new ranking based on the same indices is evaluated through a Monte Carlo simulation, considering several load scenarios modeled through uncertainties and the related generating dispatches. Applications in a test system presenting the rank of critical nodes are provided and discussed.Index Terms-Adequacy and security analyses, fast transient stability assessment, load uncertainties, nodal ranking, substation criticality.

A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions

“…A new methodology was proposed in [9] to evaluate the criticality of substations in a power system on the basis of the static and dynamic performance of their equipment outages. Methods for identifying critical nodes and components in power networks were presented in [98,99], respectively. The authors in [100] proposed an approach to determine the reliability importance of power plants or energy producers from the perspective of consumers or distribution companies.…”

“…Although several researchers proposed fast methods, they considered other input variables, such as reactive and voltage constraints [25,98]. Moreover, dynamic assessment is important to guarantee system stability [70].…”

Efficient identification of critical parameters affecting the small-disturbance stability of power systems with variable uncertainty

“…A global sensitivity method evaluates the importance of parameters across the full range of possible input values. Global SA methods can be subdivded further into: (1) those which are non-parametric such as correlation coefficients, (2) those which analyse the influence on output variance variation such as Sobol indices or the FAST (Fourier Amplitude Sensitivity Testing) method, and (3) those which analyse output probability distributions such as the Borgonovo method. These methods are complex in nature and computationally expensive [7,10].…”

“…Identification of the most important uncertainties will facilitate an appropriate resource allocation guideline for system operators and stakeholders to monitor the most important parameters systematically or introduce suitable mitigation strategies where appropriate. Identification and ranking of important parameters is a vital research in power systems which has been implemented in generator ranking [1], load classification [2], voltage stability [3], PSS design [4], PMU placement [5], and frequency support [6]. Previous works [1][2][3][4][5] have applied 'local' linear search algorithms such as singular value decomposition, whereas a recent work [6] implemented computationally expensive 'global' methods.…”

“…Identification and ranking of important parameters is a vital research in power systems which has been implemented in generator ranking [1], load classification [2], voltage stability [3], PSS design [4], PMU placement [5], and frequency support [6]. Previous works [1][2][3][4][5] have applied 'local' linear search algorithms such as singular value decomposition, whereas a recent work [6] implemented computationally expensive 'global' methods. Screening methodswhich combine to a large extent the efficiency of 'local' and accuracy of 'global' methodsare an efficient way to identify influential parameters [7][8][9][10].…”