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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=86304"><dc:title>Proportional-integral controllers performance of a grid-connected solar PV system with particle swarm optimization and Ziegler-Nichols tuning method</dc:title><dc:creator>Deželak,	Klemen	(Avtor)
	</dc:creator><dc:creator>Braciník,	Peter	(Avtor)
	</dc:creator><dc:creator>Sredenšek,	Klemen	(Avtor)
	</dc:creator><dc:creator>Seme,	Sebastijan	(Avtor)
	</dc:creator><dc:subject>photovoltaic power plant</dc:subject><dc:subject>optimization</dc:subject><dc:subject>PI controllers</dc:subject><dc:subject>distribution system</dc:subject><dc:description>This paper deals with photovoltaic (PV) power plant modeling and its integration into the medium-voltage distribution network. Apart from solar cells, a simulation model includes a boost converter, voltage-oriented controller and LCL filter. The main emphasis is given to the comparison of two optimization methods-particle swarm optimization (PSO) and the Ziegler-Nichols (ZN) tuning method, approaches that are used for the parameters of Proportional-Integral (PI) controllers determination. A PI controller is commonly used because of its performance, but it is limited in its effectiveness if there is a change in the parameters of the system. In our case, the aforementioned change is caused by switching the feeders of the distribution network from an open-loop to a closedloop arrangement. The simulation results have claimed the superiority of the PSO algorithm, while the classical ZN tuning method is acceptable in a limited area of operation.</dc:description><dc:publisher>MDPI</dc:publisher><dc:date>2021</dc:date><dc:date>2023-11-10 10:55:14</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>86304</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
