Enhancing Operational Performance of Power System through Optimal Allocation of TCSC Using a Novel Hybrid Optimisation Technique

Abstract

This paper presents a novel hybrid optimization methodology integrating the Improved Grey Wolf Optimizer (IGWO) and Cuckoo Search Optimization (CSO) for the optimal placement and sizing of Thyristor-Controlled Series Compensators (TCSC) in power distribution networks. The proposed IGWO-CSO algorithm aims to enhance power system performance by minimizing active power loss, total bus voltage deviation and operating costs (OC). The optimization problem is formulated as a single-objective and multi-objective framework to ensure an effective trade-off between multiple power system parameters. To determine the optimal compromise solution in the multi-objective scenario, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Analytical Hierarchy Process (AHP) are employed. The performance of the proposed approach is evaluated on the IEEE 33-bus and 69-bus systems using MATLAB with the MATPOWER package. Comparative analysis with Grey Wolf Optimization (GWO) and Improved Grey Wolf Optimization (IGWO) demonstrates that the IGWO-CSO hybrid method achieves superior results in terms of solution quality, convergence speed, and overall system performance. The results validate the efficiency of the proposed methodology in optimally placing TCSC devices to enhance power system stability and economic operation.