Sensitivity Based Allocation of FACTS Devices in a Transmission System Considering Differential Analysis

Abstract

This research proposes a differential analysis for determining the suitable location for FACTS devices (TCSC) and TCPAR to enhance network security during single-line outages (N-1). To ensure optimal device deployment when dealing with sensitivity variables, the proposed technique is based on performance index (PI) and ranking index (RI). The severity of the line in the network is ranked by the contingency case. The system loading level for a specific outage is computed using RI. Differentiating the proposed performance index (PI) applied to system parameters of TCSC and TCPAR yields sensitivity factors. The sensitivity factors determined by RI are utilized to determine best placement of TCSC and TCPAR devices. The goal of this problem is to reduce line overloads on transmission lines in the event of a network outage. The proposed technique is tested in a MATLAB environment on IEEE 5 bus and 14 bus networks.

Optimal Allocation of TCSC Devices in Transmission Power Systems by a Novel Adaptive Dwarf Mongoose Optimization

“…Despite the work in Ref. [32] derived significant mitigation the line overloads on transmission lines in the event of a network outage in IEEE 5 bus and 14 bus networks, it missed the determination of the suitable sizing of the TCSC in the investigated networks which has strong impacts on such applications. In [33], an improved version of GA was introduced to determine the optimal location and compensation level of TCSC devices.…”

“…An ECSA was used on the OPFI, as shown in [31], including modifications to combine an innovative bat strategy. In [32] , a placement methodology based on combined sensitivity indices was presented to install TCSC in power systems considering the situations of normal operation and line outages. In this study, the performance index and the ranking index were combined where the performance index selects the severe lines based on contingency cases while the ranking index selects the severe lines based on the system loading level for a specific outage.…”