Stochastic optimal PV placement and command based power control for voltage and power factor correction using MOPSO algorithm

Stochastic optimal PV placement and command based power control for voltage and power factor correction using MOPSO algorithm

This paper addresses a multi-objective particle swarm optimization (MOPSO) algorithm to locate the best position at which a single distributed generator (DG) with optimum voltage amplitude and phase can be installed. The objective is to maximize the power factor and voltage in IEEE 9-Bus system and...

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Bibliographic Details
Main Authors: Shehzad Haneef, Zeeshan Rashid, Syed Aqeel Haider, Zeeshan Ahmad Arfeen, Nusrat Husain, Ashraf Yahya, Muhammad Amjad, Hafeez ur Rehman
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Ain Shams Engineering Journal
Subjects:
Particle swarm optimization
Distributed generation
Power factor
Photovoltaic module
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447924003654
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