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Analysis of grid performance with diversified distributed resources and storage integration: A bilevel approach with network-oriented PSO

Title	Analysis of grid performance with diversified distributed resources and storage integration: A bilevel approach with network-oriented PSO
Author	Poyrazoglu, Gokturk, El Sayed, Ahmad
Publication Date:	2024-05-08
Publication Place	- MDPI
Subject	Sitting, Sizing, Resistivity, Pso, Distribution system, Der, Connectivity
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	1996-1073
Record ID	ea39200c-da81-4508-a5bb-c4bc1685c306
Library Location	Electrical & Electronics Engineering
Date	2024-05-08
Sample Text	The growing deployment of distributed resources significantly affects the distribution grid performance in most countries. The optimal sizing and placement of these resources have become increasingly crucial to mitigating grid issues and reducing costs. Particle Swarm Optimization (PSO) is widely used to address such problems but faces computational inefficiency due to its numerical convergence behavior. This limits its effectiveness, especially for power system problems, because the numerical distance between two nodes in power systems might be different from the actual electrical distance. In this paper, a scalable bilevel optimization problem with two novel algorithms enhances PSO's computational efficiency. While the resistivity-driven algorithm strategically targets low-resistivity regions and guides PSO toward areas with lower losses, the connectivity-driven algorithm aligns solution spaces with the grid's physical topology. It prioritizes actual physical neighbors during the search to prevent local optima traps. The tests of the algorithms on the IEEE 33-bus and the 69-bus and Norwegian networks show significant reductions in power losses (up to 74% for PV, wind, and storage) and improved voltage stability (a 21% reduction in mean voltage deviation index) with respect to the results of classical PSO. The proposed network-oriented PSO outperforms classical PSO by achieving a 2.84% reduction in the average fitness value for the IEEE 69-bus case with PV, wind, and storage deployment. The Norwegian case study affirms the effectiveness of the proposed approach in real-world applications through significant improvements in loss reduction and voltage stability.
DOI	10.3390/en17102270
Cilt	17

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Özyeğin University

Analysis of grid performance with diversified distributed resources and storage integration: A bilevel approach with network-oriented PSO

Author Poyrazoglu, Gokturk, El Sayed, Ahmad

Publication Date 2024-05-08

Publication Place - MDPI

Subject Sitting, Sizing, Resistivity, Pso, Distribution system, Der, Connectivity

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 1996-1073

Record ID ea39200c-da81-4508-a5bb-c4bc1685c306

Library Location Electrical & Electronics Engineering

Date 2024-05-08

Sample Text The growing deployment of distributed resources significantly affects the distribution grid performance in most countries. The optimal sizing and placement of these resources have become increasingly crucial to mitigating grid issues and reducing costs. Particle Swarm Optimization (PSO) is widely used to address such problems but faces computational inefficiency due to its numerical convergence behavior. This limits its effectiveness, especially for power system problems, because the numerical distance between two nodes in power systems might be different from the actual electrical distance. In this paper, a scalable bilevel optimization problem with two novel algorithms enhances PSO's computational efficiency. While the resistivity-driven algorithm strategically targets low-resistivity regions and guides PSO toward areas with lower losses, the connectivity-driven algorithm aligns solution spaces with the grid's physical topology. It prioritizes actual physical neighbors during the search to prevent local optima traps. The tests of the algorithms on the IEEE 33-bus and the 69-bus and Norwegian networks show significant reductions in power losses (up to 74% for PV, wind, and storage) and improved voltage stability (a 21% reduction in mean voltage deviation index) with respect to the results of classical PSO. The proposed network-oriented PSO outperforms classical PSO by achieving a 2.84% reduction in the average fitness value for the IEEE 69-bus case with PV, wind, and storage deployment. The Norwegian case study affirms the effectiveness of the proposed approach in real-world applications through significant improvements in loss reduction and voltage stability.

DOI 10.3390/en17102270

Cilt 17