Strategic DG Placement and Sizing for Alarm Mitigation in Distribution Grids Using Quadratic Programming-Enhanced Particle Swarm Optimization

As private energy consumption becomes increasingly dependent on electricity for transportation and heating, the strain on the distribution grid will increase, making it more prone to alarms. To mitigate this, strategically placed distributed generation (DG) can be placed. This paper considers the case of a radial in the Danish distribution system facing alarms. It applies Particle Swarm Optimization (PSO) to determine this system's optimal location and sizing of DGs. To handle system-wide constraints, the PSO is enhanced with Quadratic Programming. The experimental results suggest that the modified PSO can improve system stability and converge faster than traditional PSO.

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Published
2025-05-24
DOI
https://doi.org/10.1109/iscaie64985.2025.11081057
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Strategic DG Placement and Sizing for Alarm Mitigation in Distribution Grids Using Quadratic Programming-Enhanced Particle Swarm Optimization

Hamid Mirshekali, Hamid Reza Shaker, Iason Minousis Gram
Smart Grid Energy Management
article

Strategic DG Placement and Sizing for Alarm Mitigation in Distribution Grids Using Quadratic Programming-Enhanced Particle Swarm Optimization

Hamid Mirshekali, Hamid Reza Shaker, Iason Minousis Gram
article en

Abstract

As private energy consumption becomes increasingly dependent on electricity for transportation and heating, the strain on the distribution grid will increase, making it more prone to alarms. To mitigate this, strategically placed distributed generation (DG) can be placed. This paper considers the case of a radial in the Danish distribution system facing alarms. It applies Particle Swarm Optimization (PSO) to determine this system's optimal location and sizing of DGs. To handle system-wide constraints, the PSO is enhanced with Quadratic Programming. The experimental results suggest that the modified PSO can improve system stability and converge faster than traditional PSO.

Maersk (Denmark) (DK)
Energiteknologisk udviklings- og demonstrationsprogram
Climate action
Openalex Percentile: Top 84%
Smart Grid Energy Management
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