Embedded Computational Intelligence Based Approach in Synergistic Optimization for Integrated Compensation Scheme in Power System Transmission Planning

Abstract

This paper presents Embedded Computational Intelligence-Based Approach in Synergistic Optimization for Integrated Compensation Scheme in Power System Transmission Planning. In this study, newly embedded computational intelligence-based optimization technique abbreviated as (ECI) is proposed which integrates the standalone evolutionary programming (EP) technique and Jaya optimization mutation operator. The proposed integrated technique is termed Integrated Jaya-Evolutionary Programming (IJEP) technique. The proposed IJEP was implemented in integrated compensation scheme which combines the optimal reactive power dispatch (ORPD) and distributed generation (DG) in one embedded compensation strategy; performed on a reliability test model. Implementation of IJEP in the integrated ORPD-DG strategy is synergistic application. The primary objective is to minimize total power system losses through the synergistic application of ORPD and DG as compensation schemes. The efficacy of the proposed IJEP technique was validated on IEEE 26-Bus Reliability Test System (RTS), demonstrating its superior performance in optimizing power flow and minimizing losses compared to conventional methods. Comparative analyses were conducted using three approaches: the basic load flow study, standalone EP, and the newly proposed IJEP technique. The results consistently indicate that the IJEP approach outperforms the standalone EP, providing the most convincing results in terms of total loss minimization. The integration of the Jaya algorithm with evolutionary programming leverages the strengths of both methods, ensuring robust convergence and high-quality solutions. This study underscores the potential of the IJEP technique to enhance the efficiency and survivability of power systems by effectively integrating ORPD and DG strategy. The promising results from the IEEE 26-Bus RTS test case suggest that the IJEP technique is a viable and superior solution for power system optimization, offering significant improvements in loss reduction over traditional approach. These findings contribute to the broader goal of optimizing electrical power systems and highlight the practical benefits of integrating advanced optimization techniques in modern power system management.