Abstract

Power system robustness against overload condition is a challenging issue in the fields of power system planning and operation. In this paper, two indices are proposed to evaluate power system robustness. The proposed indices are used to identify critical lines whose failure is due to overload, leading the power system to cascading outages and blackout. The first proposed index is a linear index. The second index is based on graph theory metrics. To prevent cascading outages, system robustness is calculated for all N-1 and N-2 contingencies. The lines whose outages lead to the smallest robustness values are considered as critical lines. The proposed indices are validated by applying to the IEEE 118-bus test system. Simulation results demonstrate the capability of both indices in identifying critical lines. Therefore, the purposed indices could be used as a reliable metric to apply preventive actions against possible cascading outages and blackouts.

Highlights

  • Despite great progress in the operation, control, and protection of power systems, the number of blackouts has increased dramatically

  • The second index is based on graph theory metrics

  • This paper presents two indices for power system robustness evaluation in order to identify critical lines whose outages lead the system to cascading outages and blackout

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Summary

Introduction

Despite great progress in the operation, control, and protection of power systems, the number of blackouts has increased dramatically. Overloads cause cascading outages, which may lead a power system to large-scale blackout [1]. Subsequent events like misoperation of operators or protection system and load restoration can lead to further outages such as transmission line outages or generator outages [2]. The impedance trajectory may encroach on the 3rd zone of distance relays and, some crucial transmission lines are undesirably disconnected. This process is repeated and leads to cascading outages and blackouts [3,4,5,6,7]. Power system robustness should be determined to identify contingencies that the system must be secured against [8]

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