Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm
| Autor: | Edward J. Belwin, M. C. V. Suresh |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Cultural Studies
Linguistics and Language History Mathematical optimization Radial distribution system Computer science 020209 energy lcsh:TJ807-830 Stability (learning theory) Evolutionary algorithm lcsh:Renewable energy sources 02 engineering and technology Language and Linguistics Reduction (complexity) 0202 electrical engineering electronic engineering information engineering Distributed generation placement Loss reduction business.industry Loss sensitivity factor method Maximization Power (physics) Anthropology Distributed generation Dragonfly algorithm Voltage regulation business Voltage |
| Zdroj: | Renewables: Wind, Water, and Solar, Vol 5, Iss 1, Pp 1-8 (2018) |
| DOI: | 10.1186/s40807-018-0050-7 |
| Popis: | Distributed generation (DG) is small generating plants which are connected to consumers in distribution systems to improve the voltage profile, voltage regulation, stability, reduction in power losses and economic benefits. The above benefits can be achieved by optimal placement of DGs. A novel nature-inspired algorithm called Dragonfly algorithm is used to determine the optimal DG units size in this paper. It has been developed based on the peculiar behavior of dragonflies in nature. This algorithm mainly focused on the dragonflies how they look for food or away from enemies. The proposed algorithm is tested on IEEE 15, 33 and 69 test systems. The results obtained by the proposed algorithm are compared with other evolutionary algorithms. When compared with other algorithms the Dragonfly algorithm gives best results. Best results are obtained from type III DG unit operating at 0.9 pf. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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