UAV-assited Wireless Powered Sensor Network over Rician Shadowed Fading Channels; Microwaves, Antennas, Communications and Electronic Systems (COMCAS)

Bibliographic Details
Parent link:Microwaves, Antennas, Communications and Electronic Systems (COMCAS).— 2019.— [6 p.]
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Научно-образовательный центр "Автоматизация и информационные технологии"
Other Authors: Panich S. Stefan, Ponnimbaduge Perera T. D. Tarindu Dilshan, Dzhayakodi (Jayakody) Arachshiladzh D. N. K. Dushanta Nalin Kumara, Stefanovic C. Caslav, Prlincevic B. Bojan
Summary:Title screen
In this study, introduces a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) of photovoltaic (PV). The traditional methods are failed to track the global maximum power point under partially shaded conditions (PSC), which decrease the reliability of the power system and increase the system losses. The research results of the CS algorithm and perturb and observe (P&O) algorithm are investigated for different cases of operations of PV panels under PSC. The proposed CS model can track the GMPP very accurate with high efficiency in less time under severe weather conditions as well as in PSC.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.1109/COMCAS44984.2019.8958112
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=662291