Izvorni znanstveni članak
https://doi.org/10.13044/j.sdewes.d13.0605
Phase Domain Modelling for Optimal Distributed Generator Placement and Clean Power Production Using Particle Swarm Optimization Assisted Target Seeking Algorithm
Rana Muzammil Dilshad
; The Islamia University of Bahawalpur, Bahawalpur, Pakistan
Ghulam Amjad Hussain
; University of Dubai, Dubai, United Arab Emirates
Syed Muhammad Ali Shah
; Mehran University of Engineering & Technology, Jamshoro, Pakistan
Attaullah Khidrani
; Balochistan University of Engineering & Technology, Khuzdar, Pakistan
Zeeshan Rashid
; The Islamia University of Bahawalpur, Bahawalpur, Pakistan
Zeeshan Ahmad Arfeen
; The Islamia University of Bahawalpur, Bahawalpur, Pakistan
Haris M. Khalid
; University of Dubai, Dubai, United Arab Emirates
Sažetak
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.
Ključne riječi
Particle swarm optimization; Distributed power generation; Photovoltaic; PWM inverters; Filters
Hrčak ID:
342243
URI
Datum izdavanja:
18.5.2026.
Posjeta: 351 *