f Application of Many-Objective Arithmetic Optimization Algorithm and TOPSIS for Optimal Planning of DGS in Distribution Systems
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Research Article |

Application of Many-Objective Arithmetic Optimization Algorithm and TOPSIS for Optimal Planning of DGS in Distribution Systems

Author(s): Srikant Ganji*, J. Namratha Manohar and G. Yesuratnam

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 2

Publisher : FOREX Publication

Published : 05 May 2024

e-ISSN : 2347-470X

Page(s) : 471-477

DOI: https://doi.org/10.37391/IJEER.120219

Abstract

The traditional planning of distribution networks is changing because of the accelerated expansion of distributed generation (DG) technologies in various capacities and forms. However, the improper integration of DGs in current distribution networks can give rise to several technical difficulties despite the advantages provided by distributed generation technologies. This paper presents the optimal DG planning in the distribution system using a Pareto-based many-objective arithmetic optimization algorithm (MOAOA) for optimal DG planning problems in the distribution system. This work focuses on improving four technical metrics related to distribution systems: mitigation of electrical energy not served (EENS), total voltage deviation (TVD) minimization, voltage stability index (VSI) maximization, and energy loss mitigation. Two scenarios are considered: the first scenario primarily focuses on optimal planning of DGs supporting active power only (e.g. Micro-Turbines DGs), and the second scenario focuses on optimal planning of DGs supporting both active and reactive power support (e.g. BIOMASS DGs). The optimal Pareto fronts between the competing objectives are generated using the Pareto-based MOAOA algorithm. The TOPSIS (a technique for order performance by similarity to ideal solution) multi-criteria decision-making technique is utilized for selecting the best trade-off solution from the optimal Pareto front. The posited method is examined on two standard IEEE-69 bus distribution systems. The efficacy of the MOAOA is compared with the outcomes of MOPSO, MOGWO and NSGA-II.

Keywords: Distributed generation (DG), Arithmetic optimization algorithm (AOA), Multi objective Particle swam optimization (MOPSO), Multi Objective Gray Wolf Optimization (MOGWO), Non dominated sorting Genetic Algorithm (NSGA-II), Optimal siting and sizing, stability index (SI).




Srikant Ganji*, Department of Electrical Engineering, Osmania University, Hyderabad, Telangana; Email: gsrikanth96@gmail.com

J. Namratha Manohar, Muffakham Jah College of Engineering and Technology, Hyderabad, Telangana; Email: j.namratha@mjcollege.ac.in

G. Yesuratnam, Department of Electrical Engineering, Osmania University, Hyderabad, Telangana; Email: ratnamgy2003@gmail.com

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Srikant Ganji, J. Namratha Manohar and G. Yesuratnam (2024), Application of Many-Objective Arithmetic Optimization Algorithm and TOPSIS for Optimal Planning of DGS in Distribution Systems. IJEER 12(2), 471-477. DOI: 10.37391/IJEER.120219.