A review of uncertainty management approaches for active distribution system planning

G., Varathan; J., Belwin Edward

doi:10.1016/j.rser.2024.114808

Renewable and Sustainable Energy Reviews

2024

DOI: 10.1016/j.rser.2024.114808

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A review of uncertainty management approaches for active distribution system planning

Varathan G.,

Belwin Edward J.

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Optimal reconfiguration of a distribution network integrated photovoltaic and wind systems using blood-sucking leech optimizer

Sadaoui,

Bouhadouza,

Hachemi

2024

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This paper presents a planning strategy for integrating renewable distributed generation (DG) units into a distribution network, incorporating network reconfiguration to enhance the network's technical, economic, and environmental performance. Utilizing a novel meta-heuristic algorithm, the Blood-Sucking Leech Optimizer (BSLO), the study addresses a multi-objective optimization problem aimed at determining the optimal placement and sizing of DG units, as well as the most effective network topology. This approach seeks to minimize active power losses, improve voltage profiles, reduce installation costs, and lower greenhouse gas emissions. The model accounts for variable load demands, climatic factors (such as ambient temperature, solar irradiation, and wind speed), and fluctuating energy prices, reflecting realistic operating conditions. Tested on the IEEE 69-bus distribution network, the BSLO algorithm demonstrated rapid convergence to the global optimum by effectively balancing exploration and exploitation phases. Compared to other meta-heuristic methods, such as the Grey Wolf Optimizer, Gorilla Troops Optimizer, Walrus Optimization Algorithm, and Artificial Hummingbird Algorithm, the BSLO consistently achieved superior accuracy and faster convergence, resulting in higher precision and optimization efficiency. The optimal deployment of two PV generators and two wind turbines, combined with selective line switch openings, resulted in an 87.66% reduction in active power losses, a 73.30% decrease in voltage deviation, a 51.91% reduction in overall system costs, and a 62.74% decrease in greenhouse gas emissions compared to the base case.

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Optimal reconfiguration of a distribution network integrated photovoltaic and wind systems using blood-sucking leech optimizer

Sadaoui,

Bouhadouza,

Hachemi

2024

SEES

View full text Add to dashboard Cite

show abstract

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A review of uncertainty management approaches for active distribution system planning

Cited by 1 publication

References 206 publications

Optimal reconfiguration of a distribution network integrated photovoltaic and wind systems using blood-sucking leech optimizer

Optimal reconfiguration of a distribution network integrated photovoltaic and wind systems using blood-sucking leech optimizer

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