Phase Domain Modelling for Optimal Distributed Generator Placement and Clean Power Production Using Particle Swarm Optimization Assisted Target Seeking Algorithm

The impact of power injection at various positions in the grid is not consistent due to the uneven electrical sensitivity caused by varying power characteristics. This issue requires a comprehensive search method to analyze all the buses in recursive sequence manner to maximize the output of the fitness function. In response to this problem, the present research work addresses an objective based particle swarm optimization algorithm method to determine the optimum location for installing a single photovoltaic generator. The aim of this study is to optimize the voltage and power factor profiles of all the buses by controlling the power flow using distributed generation at a specific bus. A photovoltaic module equipped with a pulse width modulation inverter and LCL filter is integrated into the grid with its bus location and capacity decided by the designed particle swarm optimization algorithm to provide either active or reactive power. The validation of the proposed method is shown through the results obtained by implementing the proposed technique at IEEE-3 bus system.

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Publication Details

Journal
Journal of Sustainable Development of Energy Water and Environment Systems
Published
2025-11-24
DOI
https://doi.org/10.13044/j.sdewes.d13.0605
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Phase Domain Modelling for Optimal Distributed Generator Placement and Clean Power Production Using Particle Swarm Optimization Assisted Target Seeking Algorithm

Zeeshan Ahmad Arfeen, Zeeshan Rashid, Attaullah Khidrani, Ghulam Amjad Hussain et al.
Journal of Sustainable Development of Energy Water and Environment Systems
Optimal Power Flow Distribution
article

Phase Domain Modelling for Optimal Distributed Generator Placement and Clean Power Production Using Particle Swarm Optimization Assisted Target Seeking Algorithm

Zeeshan Ahmad Arfeen, Zeeshan Rashid, Attaullah Khidrani, Ghulam Amjad Hussain, Syed Muhammad Ali Shah, Haris M. Khalid, Rana Muzammil Dilshad
article en

Abstract

The impact of power injection at various positions in the grid is not consistent due to the uneven electrical sensitivity caused by varying power characteristics. This issue requires a comprehensive search method to analyze all the buses in recursive sequence manner to maximize the output of the fitness function. In response to this problem, the present research work addresses an objective based particle swarm optimization algorithm method to determine the optimum location for installing a single photovoltaic generator. The aim of this study is to optimize the voltage and power factor profiles of all the buses by controlling the power flow using distributed generation at a specific bus. A photovoltaic module equipped with a pulse width modulation inverter and LCL filter is integrated into the grid with its bus location and capacity decided by the designed particle swarm optimization algorithm to provide either active or reactive power. The validation of the proposed method is shown through the results obtained by implementing the proposed technique at IEEE-3 bus system.

Journal of Sustainable Development of Energy Water and Environment SystemsVol. 13(4)
Openalex Percentile: Top 64%
Optimal Power Flow Distribution
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Phase Domain Modelling for Optimal Distributed Generator Placement and Clean Power Production Using Particle Swarm Optimization Assisted Target Seeking Algorithm — Zeeshan Ahmad Arfeen, Zeeshan Rashid, et al. · Journal of Sustainable Development of Energy Water and Environment Systems (2025) | TGRS Research Map | TGRS