Multi-Objective in Mapping the Optimal Distributed Generation Configuration through GWOA to Enhance Grid Performance Reliability

I Gede Putu Oka Indra Wijaya; Rifki Rahman Nur Ikhsan; Lindiasari Martha Yustika; Jangkung Raharjo

doi:https://doi.org/10.17529/jre.v21i3.42929

Multi-Objective in Mapping the Optimal Distributed Generation Configuration through GWOA to Enhance Grid Performance Reliability

I Gede Putu Oka Indra Wijaya, Rifki Rahman Nur Ikhsan, Lindiasari Martha Yustika, Jangkung Raharjo

Abstract

In electric power distribution systems, the distance between the load bus and the generating unit significantly affects grid efficiency and reliability, with longer distances causing greater voltage drops. To mitigate this, Distributed Generation (DG) is increasingly being used, generating electricity closer to the point of consumption. Determining the optimal DG location requires advanced metaheuristic methods. This research proposes the Grey Wolf Optimizer Algorithm (GWOA) to determine optimal DG placement, tested on the IEEE 14-bus distribution grid. The method generated two scenarios: In the first scenario, power losses were reduced by 98.1465% for real power and 98.9538% for reactive power compared to the existing conditions, while voltage increased by an average of 0.0127 p.u. for all buses combined. The second scenario also showed a notable voltage increase of 0.0064 p.u. The GWOA method proves to be an efficient and effective solution for DG placement, enhancing system reliability and protecting household electronic devices.

Keywords

optimal, distributed generation, Grey Wolf Optimizer Algorithm, electric, effective

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DOI: https://doi.org/https://doi.org/10.17529/jre.v21i3.42929

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