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Maximize the penetration level of photovoltaic systems and shunt capacitors in distribution systems for reducing active power loss and eliminating conventional power source
In this paper, photovoltaic systems and shunt capacitors are optimally placed in three IEEE distribution systems. Moth swarm algorithm, Equilibrium optimization and Coot optimization algorithm are used to find the numbers, locations and sizes of the added electric components so that total active pow...
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Published in: | Sustainable energy technologies and assessments 2022-08, Vol.52, p.102253, Article 102253 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this paper, photovoltaic systems and shunt capacitors are optimally placed in three IEEE distribution systems. Moth swarm algorithm, Equilibrium optimization and Coot optimization algorithm are used to find the numbers, locations and sizes of the added electric components so that total active power loss is minimum and all constraints are satisfied. As reaching optimal solutions, voltage of nodes and current of conductors satisfy operating ranges while all added photovoltaic systems and all shunt capacitors respectively supply enough active and reactive power demands to loads. Among the three applied algorithms, Moth swarm algorithm is more complicated but it is much more effective than two others. In fact, it can reach less active power loss by 76.3% as compared to others and by 86.52%, 83.3% and 94.48% as compared to base systems. Thus, it concludes that the placement of photovoltaic systems and shunt capacitors can replace the conventional power source and Moth swarm algorithm is an effective approach in optimizing the placement of both photovoltaic systems and shunt capacitors. |
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ISSN: | 2213-1388 |
DOI: | 10.1016/j.seta.2022.102253 |