Identification of FIDVR-Prone Buses in Large-Scale Power Systems

Due to the growing penetration of residential air conditioners (RACs) in Iran power grid, fault-induced delayed voltage recovery (FIDVR) has been recognized as a serious threat to the voltage stability. In order to confine FIDVR adverse impacts, it is vital to identify the most “at-risk" buses in a power grid. This paper by analyzing the real-world FIDVR events in Iran bulk network shows that in addition to the power system topology and reactive power support, the RAC penetration rate and the ambient temperature are also effective in order to identify the critical FIDVR-prone buses. By introducing the load incremental factor, and the effective voltage depression coefficient, this paper proposes an enhanced MVA-Volt index to distinguish the most at-risk buses. The proposed screening tool can be evaluated only by conducting steady-state simulations, though the FIDVR phenomenon is inherently a dynamic phenomenon. To examine the effectiveness of the proposed index, firstly, it has been verified over a restricted region of Iran power grid (Kerman region) by carrying out precise dynamic simulations. Then, it is validated considering the actual FIDVR events. The identified at-risk buses are in good agreement with the real-world reported FIDVR events, and therefore, the proposed index is found reliable and effective.