Privatization of the power industry has made proper utilization of the available resources a compulsory requirement. Optimal power flow (OPF) is an ideal solution to the problem. At the same time, stable operation of the power systems in both normal and contingency condition is of vital importance. Use of FACTS devices is a good method to stop further contingencies in the power system. In this paper, a combined index based strategy for the optimal placement of Thyristor Controlled Series Compensator (TCSC) and optimal tuning of generators using Krill Herd Algorithm has been proposed for contingency management. The contingency analysis has been done using a new method, namely, rapid contingency ranking technique (RCRT). The TCSC has been placed on the basis of an index which is a combination of Line Utilization Factor (LUF) and Fast Voltage Stability Index (FVSI). A multi-objective function has been chosen for tuning the generators. The multi-objective function includes voltage deviation, active power generation cost and transmission line loss. The proposed method has been tested and implemented on an IEEE 30 bus system.
Privatization of the power industry has made proper utilization of the available resources a compulsory requirement. Optimal power flow (OPF) is an ideal solution to the problem. At the same time, stable operation of the power systems in both normal and contingency condition is of vital importance. Use of FACTS devices is a good method to stop further contingencies in the power system. In this paper, a combined index based strategy for the optimal placement of Thyristor Controlled Series Compensator (TCSC) and optimal tuning of generators using Krill Herd Algorithm has been proposed for contingency management. The contingency analysis has been done using a new method, namely, rapid contingency ranking technique (RCRT). The TCSC has been placed on the basis of an index which is a combination of Line Utilization Factor (LUF) and Fast Voltage Stability Index (FVSI). A multi objective function has been chosen for tuning the generators. The multi-objective function includes voltage deviation, active power generation cost and transmission line loss. The proposed method has been tested and implemented on an IEEE 30 bus system.
Voltage stability is the capability of the power system to preserve the system under stable condition even exposed to small disturbances under normal or slightly over loaded conditions. Maintaining voltage stability is the one of the major factor for power system networks. In this paper new line established voltage stability index entitled fast voltage stability index (FVSI) is proposed for optimal placement of Thyristor Controlled Series Capacitor (TCSC). Optimal tuning of TCSC is obtained using Cuckoo Search Algorithm (CSA) to improve the voltage stability of the power system established on minimization of the total voltage deviation of the system. The CSA is coded in MATLAB and the performance is tested on Institute of Electrical and Electronics Engineers (IEEE) 30 bus test system with voltage deviation minimization as objective function. TCSC is a series connected device in the Flexible Alternating Current Transmission System (FACTS) family. It has capable of controlling the power flow through the line and also improve the line based voltage stability. In this paper TCSC is merged in CSA based Power Flow to optimize the total voltage deviation. Results attained by CSA are related to that attained by Genetic Algorithm (GA) in both without and with TCSC conditions. These results show that CSA produce better results compared to GA for solving optimal tuning of TCSC.
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