Hybrid DA-PSO approach for optimal location and parameter settings for TCSC controller in power system

Abstract

Thyrist or controlled series compensator (TCSC) configuration in power system comprises of controlled reactors inparallel with sections of a capacitor bank. This combination offers smooth control of basic frequency capacitive reactance over awide range. Its benefits include eradication of resonance risks, stability improvements and so on, offering dynamic power flowcontrol. However, the TCSC controllers face issues, while determining their optimal locations and parameter settings (sizing).Hence, this study intends to solve these problems by considering three objectives, namely, congestion minimisation, investmentcost minimisation and increased transient stability. The objectives are achieved by optimising various locations of the bussystem, where the TCSC has to be placed, and its sizing. From the optimised results, the best solution is chosen to attain theabovementioned objectives. The presented scheme obtains the best solution by a hybridised model, exploiting the dragonflyalgorithm (DA) and the particle swarm optimisation (PSO), called PSO-dependent step vector for DA. Finally, the proposedapproach is compared with the conventional schemes by analysing the outcomes for two benchmark systems, namely, IEEE 24and IEEE 9 test bus systems.