Technical and Economic assessment of metaheuristic optimization techniques for a high DER-integrated IEEE 118-bus power system in electricity markets
Sumit Banker1, Jaydeep Chakravorty2, Chetan Bariya3 and Bhavik Brahmbhatt3
Research Scholar, Department of Electrical Engineering,Indus University, Ahmedabad,Gujarat,India1
Associate Professor, Department of Electrical Engineering,Indus University, Ahmedabad,Gujarat,India2
Assistant Professor, Department of Electrical Engineering,Government Engineering College, Modasa,Gujarat,India3
Associate Professor, Department of Electrical Engineering,Indus University, Ahmedabad,Gujarat,India2
Assistant Professor, Department of Electrical Engineering,Government Engineering College, Modasa,Gujarat,India3
Corresponding Author : Sumit Banker
Recieved : 04-June-2025; Revised : 14-May-2026; Accepted : 16-May-2026
Abstract
This paper presents an in-depth comparative evaluation of six metaheuristic optimization algorithms: ring cellular encode-decode univariate marginal distribution algorithm (RCEDUMDA), genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), success-history based adaptive differential evolution (SHADE), and vortex search (VS), applied to a modified IEEE 118-bus test system with a high penetration of distributed energy resources (DER). The modified system incorporates photovoltaic (PV) systems, energy storage systems (ESS), and wind turbines to emulate the operational complexities of future smart grids. Each algorithm is executed over 30 independent runs, and performance is evaluated using consistent metrics, including aggregator profit, convergence iterations, run time, stability, computational efficiency, total system losses, voltage deviation, ESS utilization, and DER utilization. The results reveal distinct performance profiles: RCEDUMDA demonstrates strong capability in maximizing aggregator profit and minimizing system losses, while SHADE and PSO exhibit efficient convergence and improved voltage regulation under dynamic DER outputs. Overall, the study provides actionable insights into the strengths and limitations of each optimization strategy for DER-integrated power systems.
Keywords
Distributed energy resources (DER), Metaheuristic optimization, Smart grid optimization, IEEE 118-bus system, Energy storage systems (ESS), Renewable energy integration.
Cite this article
Banker S, Chakravorty J, Bariya C, Brahmbhatt B. Technical and Economic assessment of metaheuristic optimization techniques for a high DER-integrated IEEE 118-bus power system in electricity markets. International Journal of Advanced Technology and Engineering Exploration. 2026;13(138):769-790. DOI : 10.19101/IJATEE.2025.121220748
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