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has been cited by the following article:

• TITLE: Network Structure-Based Critical Bus Identification for Power System Considering Line Voltage Stability Margin

  AUTHORS: Oludamilare Bode Adewuyi, Mir Sayed Shah Danish, Abdul Motin Howlader, Tomonobu Senjyu, Mohammed E. Lotfy

  KEYWORDS: Voltage Stability Voltage Collapse, Critical Node, Critical Boundary Index, Centrality Measure

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.6 No.9, September 30, 2018

  ABSTRACT: Voltage security assessment of power system is an important and all-inclusive aspect of power system operation and preventive control actions. Fast and accurate detection of critical components of the power system is one essential approach for preventing the occurrence of voltage collapse phenomenon. Over the years, several approaches for voltage collapse point identification and prevention have been widely studied using the continuous power flow approach, minimum singular value of eigenvalues, Jacobian matrices, and power transfer concept. In this work, critical node (bus) identification based on power system network structure is proposed. In this approach, the power system is treated as a multidimensional graph with several nodes (buses) linked together by the transmission lines. An improved line voltage stability margin estimator which is based on active and reactive power changes in a power system is used as the weight of each transmission line and an adaptation of the degree of centrality approach is used to determine the criticality of the system buses. A comparative analysis with other bus voltage stability indices is presented to test the suitability of the proposed approach using the IEEE 14, 30, 57 and 118 bus test systems.