<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper presents a new hybrid meta-heuristic algorithm based on the Phasor Particle Swarm Optimization (PPSO) and Gravitational Search Algorithm (GSA) for optimal allocation of distributed generation (DG) in distribution systems with non-linear loads. Performance of the algorithm is evaluated on the IEEE 69-bus system with the aim of reducing power losses, as well as improving voltage profile and power quality. Results, obtained using the proposed algorithm, are compared with those obtained using the original PSO, PPSO, GSA and PSOGSA algorithms. It is found that the proposed algorithm has better performance in terms of convergence speed and finding the best solutions.</p>
</abstract>

This paper presents a new hybrid meta-heuristic algorithm based on the Phasor Particle Swarm Optimization (PPSO) and Gravitational Search Algorithm (GSA) for optimal allocation of distributed generation (DG) in distribution systems with non-linear loads. Performance of the algorithm is evaluated on the IEEE 69-bus system with the aim of reducing power losses, as well as improving voltage profile and power quality. Results, obtained using the proposed algorithm, are compared with those obtained using the original PSO, PPSO, GSA and PSOGSA algorithms. It is found that the proposed algorithm has better performance in terms of convergence speed and finding the best solutions.

Optimal Distributed Generation Allocation in Distribution Systems with Non-Linear Loads Using a New Hybrid Meta-Heuristic Algorithm

University of Priština in Kosovska Mitrovica

B&H Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This paper presents a new hybrid meta-heuristic algorithm based on the Phasor Particle Swarm Optimization (PPSO) and Gravitational Search Algorithm (GSA) for...

Optimal Distributed Generation Allocation in Distribution Systems with Non-Linear Loads Using a New Hybrid Meta-Heuristic Algorithm

Data publikacji: 07 lis 2022

Zakres stron: 4 - 13

Otrzymano: 01 sie 2019

Przyjęty: 01 wrz 2019

DOI: https://doi.org/10.2478/bhee-2019-0001

Słowa kluczowe
distributed generation, gravitational search algorithm, hybrid meta-heuristic algorithm, optimal allocation, phasor particle swarm optimization

© 2019 Miloš Milovanović et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Optimal Distributed Generation Allocation in Distribution Systems with Non-Linear Loads Using a New Hybrid Meta-Heuristic Algorithm

Data publikacji: 07 lis 2022

Zakres stron: 4 - 13

Otrzymano: 01 sie 2019

Przyjęty: 01 wrz 2019

DOI: https://doi.org/10.2478/bhee-2019-0001

Słowa kluczowedistributed generation, gravitational search algorithm, hybrid meta-heuristic algorithm, optimal allocation, phasor particle swarm optimization

© 2019 Miloš Milovanović et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
distributed generation, gravitational search algorithm, hybrid meta-heuristic algorithm, optimal allocation, phasor particle swarm optimization