New PV system sizing approach based on jellyfish search algorithm

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three PV deployment scenarios, and compared its performance with that of a dozen of competing optimization techniques. A team of scientists from India has developed a novel method for the optimal placement and sizing of solar PV distributed generation (DG) systems. The novel approach is based on a metaheuristic optimization technique known as the jellyfish search algorithm (JSA), which is inspired by the ...

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