Abstract
In this article, a new genetic algorithm (GA) has been developed for optimal distribution network design. An attempt has been made to develop a generalized algorithm for distribution system planning. The distribution transformer station location and the size selection are evaluated together with the feeder route and size selection. The model used in the design includes the realistic rules that are derived from actual networks in Turkey. Power conservation, capacity, voltage and radiality are included in the model. The proposed algorithm has been implemented on the actual examples. The results have shown that GA methods are flexible and powerful search techniques for obtaining a better and a more realistic solution compared to classical optimization techniques.
| Original language | English |
|---|---|
| Pages (from-to) | 513-524 |
| Number of pages | 12 |
| Journal | Electric Power Components and Systems |
| Volume | 33 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 2005 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Distribution networks
- Genetic algorithms
- Optimization
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