Optimizing distributed generation sizing and siting using particle swarm optimization: A comparative study

Name: Optimizing distributed generation sizing and siting using particle swarm optimization: A comparative study
Author: Ahmed, Eıhab Elgaıly Elmukshfı, Poyrazoğlu, Göktürk

İsim	Optimizing distributed generation sizing and siting using particle swarm optimization: A comparative study
Yazar	Ahmed, Eıhab Elgaıly Elmukshfı, Poyrazoğlu, Göktürk
Basım Tarihi:	2023
Basım Yeri	- IEEE
Konu	Distributed generation, Optimal siting, Optimal sizing, Particle swarm optimization
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2-s2.0-85168658792
Kayıt Numarası	6ebdc1a8-69a2-43dd-8a09-21f9d3850538
Lokasyon	Electrical & Electronics Engineering
Tarih	2023
Örnek Metin	In recent years, distributed generation (DG) has become increasingly popular as a means of mitigating the impact of climate change and ensuring a reliable and resilient power supply. To optimize the use of DG, it is essential to determine the most effective DG sizing and siting for a given power system. This problem has been researched, and several heuristic algorithms have been proposed and tested. This paper focuses on applying particle swarm optimization (PSO) to this problem to minimize real power loss. Five different PSO variants in single and three DG unit scenarios using the IEEE 33 bus system are tested to reveal the efficiency of the variants and their potential for improving the solution's performance. By comparing the performance of the different PSO variants with the ones in the literature, we found that PSO outperformed other heuristic algorithms for this problem. Our findings highlight the importance of choosing the suitable optimization algorithm for DG sizing and siting to achieve the best possible outcomes for power systems operations.
DOI	10.1109/EEEIC/ICPSEurope57605.2023.10194717

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Optimizing distributed generation sizing and siting using particle swarm optimization: A comparative study

Yazar Ahmed, Eıhab Elgaıly Elmukshfı, Poyrazoğlu, Göktürk

Basım Tarihi 2023

Basım Yeri - IEEE

Konu Distributed generation, Optimal siting, Optimal sizing, Particle swarm optimization

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2-s2.0-85168658792

Kayıt Numarası 6ebdc1a8-69a2-43dd-8a09-21f9d3850538

Lokasyon Electrical & Electronics Engineering

Tarih 2023

Örnek Metin In recent years, distributed generation (DG) has become increasingly popular as a means of mitigating the impact of climate change and ensuring a reliable and resilient power supply. To optimize the use of DG, it is essential to determine the most effective DG sizing and siting for a given power system. This problem has been researched, and several heuristic algorithms have been proposed and tested. This paper focuses on applying particle swarm optimization (PSO) to this problem to minimize real power loss. Five different PSO variants in single and three DG unit scenarios using the IEEE 33 bus system are tested to reveal the efficiency of the variants and their potential for improving the solution's performance. By comparing the performance of the different PSO variants with the ones in the literature, we found that PSO outperformed other heuristic algorithms for this problem. Our findings highlight the importance of choosing the suitable optimization algorithm for DG sizing and siting to achieve the best possible outcomes for power systems operations.