A Pareto Frontier-Based Multi-Objective Chaotic PSO with Sigmoid-based Acceleration Coefficients for Optimal DG Placement and Sizing
Authors: Rajesh Murari, Srinivasa Rao Rayapudi
DOI: 10.37326/ajsev8.12/2061
Page No: 1-10
Abstract
The escalating demand for electric power necessitates an expansion of electric power networks, posing technical, economic, and environmental challenges. Renewable energy sources like solar photovoltaics and wind generators offer potential solutions by integrating into power grids. The optimal placement and sizing of distributed generation (DG) within distribution networks (DNs) profoundly affect various factors such as power loss, voltage stability, and voltage deviation. This article presents a multi-objective chaotic PSO with sigmoid-based (MO-CPSOS) acceleration coefficient algorithm with Pareto frontier approach for optimal DG placement and sizing for the first time. The MO-CPSOS algorithm is tested for the standard IEEE 33-bus, 69-bus, and 118-bus systems. Simulation results demonstrate the efficacy of the proposed approach with a single objective in terms of power loss reduction, optimal DG size, and convergence speed. Further, investigations suggest that MOCPSOS algorithm with multi-objective achieves competitive results in power loss and voltage deviation minimization, and voltage stability enhancement compared to existing methods.
