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.

Highlights

  • 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

  • We have considered the importance of active and reactive power changes on the voltage stability of power system using the relationship between nodes and optimal stability margin of the connecting links

  • A formulation of power system voltage stability analysis model based on network structure is presented

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Summary

Introduction

Voltage stability studies and formulation of efficient stability indices have been. O. Approaches for monitoring the voltage stability condition of power systems are classified into either node or line stability indices [11] [12]. This classification is based on the system component of interest; whether we are trying to identify the buses or lines that position the power system closer to the point of voltage collapse. There is a point at which there is a limit to the amount of power that can be transmitted along the transmission line prior to system collapse These stability condition is obtained by setting A to zero as shown in the following expression: Pk2 + Qk2 = 0. The CBI is the measure of the available apparent power transfer limit of the transmission line with regards to voltage stability and as it approaches zero for any transmission line, the voltage stability level of the line deteriorates

Estimation of Bus Criticality Index
Proposed Bus Voltage Stability Criticality Indices
Simulation Results
Conclusion
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