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2022 | OriginalPaper | Buchkapitel

Application Hybrid Chaotic Maps and Adaptive Acceleration Coefficients PSO Algorithm for Optimal Integration Photovoltaic Distributed Generation Problem in Distribution Energy Network

verfasst von : Mohamed Zellagui, Nasreddine Belbachir, Adel Lasmari, Benaissa Bekkouche, Claude Ziad El-Bayeh

Erschienen in: Control Applications in Modern Power Systems

Verlag: Springer Nature Singapore

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Abstract

Integration of Distributed Generators (DG) into Distribution Energy Network (DEN) became an important need, due to their technical advantages and economic benefits, as well as the contribution in power quality improvement and the reduction of the power losses. In this paper, is proposed a various version for hybrid Particle Swarm Optimization (PSO) algorithms based on chaotic maps and adaptive acceleration coefficients to optimally locate and size the Photovoltaic Distributed Generation (PV-DG) into DEN to minimize the Total Active Power Loss (TAPL), the Total of Voltage Deviation (TVD), and the Total Operation Time (TOT) of the overcurrent relay. The proposed algorithms were tested on the 28-bus DEN system, so that a study comparison was presented to identify the best hybrid PSO algorithm that delivers the best results in terms of achieving the best active losses reduction, enhancing the voltage profiles, and improving the overcurrent protection system.

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Titel: Application Hybrid Chaotic Maps and Adaptive Acceleration Coefficients PSO Algorithm for Optimal Integration Photovoltaic Distributed Generation Problem in Distribution Energy Network
verfasst von: Mohamed Zellagui
Nasreddine Belbachir
Adel Lasmari
Benaissa Bekkouche
Claude Ziad El-Bayeh
Verlag: Springer Nature Singapore
Buch: Control Applications in Modern Power Systems
Print ISBN: 978-981-19-0192-8

Electronic ISBN: 978-981-19-0193-5

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-981-19-0193-5_3