Optimal sizing and allocation of multiple distribution generations for radial distribution networks enhancement using advanced metaheuristic-based osprey optimization algorithm

Due to transmission over a long distance from the point of generation to the consumer residence, the distribution station is faced with various challenges which include but not limited to high-power losses, voltage instability and voltage deviation. Thus, it becomes imperative to mitigate these. In...

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Veröffentlicht in:Engineering Research Express Jg. 6; H. 4; S. 45361 - 45382
Hauptverfasser: Adebayo, Isaiah, Sun, Yanxia, Ikeh, Emmanuel, Salimon, Sunday, Aborisade, David, Adebiyi, Oluwaseyi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IOP Publishing 01.12.2024
Schlagworte:
distributed generation
distribution network
optimal allocation
optimal size
osprey optimization algorithm
power loss reduction
ISSN:2631-8695, 2631-8695
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Zusammenfassung:Due to transmission over a long distance from the point of generation to the consumer residence, the distribution station is faced with various challenges which include but not limited to high-power losses, voltage instability and voltage deviation. Thus, it becomes imperative to mitigate these. In this paper, a metaheuristic optimization approach called Osprey Optimization Algorithm (OOA) is proposed to evaluate the best sites and sizes of multiple Distributed Generations (DGs) on radial distribution networks. The suggested OOA is inspired based on the intelligent conduct of ospreys during hunting. The incorporation of multiple DGs at unity, 0.95, optimal power factor was evaluated, and various scenarios were examined. The effectiveness of OOA was scrutinized on the standard IEEE 33-bus distribution system and validated on a practical distribution network, Ayepe 11 KV 34- bus feeder of the Ibadan Electricity Distribution Company (IBEDC). The results obtained from the simulations depicts that three DG units operating at optimal power factor produced the best outcome when considering total active power loss (TAPL) and total reactive power loss (TRPL) on both networks. A 92.87% reduction on TAPL as well a 91.60% reduction on TRPL was attained on the 33-bus system while on the Ayepe 34-bus system both the TAPL and TRPL reduced by 98.51% when juxtaposing them with their respective base cases. The outcomes obtained corroborate the efficacy and superiority of OOA when comparing them to outcomes from recent optimization approach.
Bibliographie:ERX-105187.R2
ISSN:2631-8695
2631-8695
DOI:10.1088/2631-8695/ad9afb