Optimal Planning of DGs in Radial Distribution System Using Many-Objective Arithmetic Optimization Algorithm and Multi-Criterion Decision-Making TOPSIS Approaches
| International Journal of Electrical and Electronics Engineering |
| © 2024 by SSRG - IJEEE Journal |
| Volume 11 Issue 5 |
| Year of Publication : 2024 |
| Authors : Srikant Ganji, J. Namratha Manohar, G. Yesuratnam |
10.14445/23488379/IJEEE-V11I5P105
How to Cite?
Srikant Ganji, J. Namratha Manohar, G. Yesuratnam, "Optimal Planning of DGs in Radial Distribution System Using Many-Objective Arithmetic Optimization Algorithm and Multi-Criterion Decision-Making TOPSIS Approaches," SSRG International Journal of Electrical and Electronics Engineering, vol. 11, no. 5, pp. 45-52, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I5P105
Abstract:
This paper presents an optimal DG planning method using a Pareto-based Many-Objective Arithmetic Optimization Algorithm (MOAOA) to improve four technical metrics of the distribution system: mitigation of Electrical Energy Not Served (EENS), total voltage deviation minimization, enhancement of voltage stability index, and energy loss curtailment. The method is tested on a standard IEEE-33 bus distribution system and compared with other methods like MOPSO, MOGWO, and NSGAII. The study aims to address the challenges of improper DG integration in distribution networks.
Keywords:
Distributed Generation (DG), Arithmetic Optimization Algorithm (AOA), Multiobjective Particle Swam Optimization (MOPSO), Multi Objective Gray Wolf Optimization (MOGWO), Non Dominated Sorting Genetic Algorithm (NSGA-II) Distribution system, Optimal siting and sizing.
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