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 ...Den vollständigen Artikel lesen ...
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