Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15615
Title: Efficient Integration of Distributed Generation in Radial Distribution Network for Voltage Profile Improvement and Power Loss Minimization Via Particle Swarm Optimization
Authors: Guru, Pragya
Malik, Nitin
Mahapatra, Sheila
Keywords: Bus System
Cost Analysis
Distributed Generation
Line Modeling
Load Flow Analysis
Optimal Positioning
Particle Swarm Optimization
Radial Distribution Network
Issue Date: 2024
Publisher: The Internet of Energy: A Pragmatic Approach Towards Sustainable Development
Apple Academic Press
Citation: pp. 207-225
Abstract: The distribution system is a last and the final link between the generating stations and the consumers end. The integration of distributed generation (DG) resources in distribution system is crucially important due to ever-growing increased energy demand. The ideal allocation (sizing and siting) of DG could lead to accomplish the various benefits like improved voltage profile and reduced losses. The load is modeled as constant complex power. The power flow solution for the type-1 DG integrated test system is computed using direct load flow approach under normal loading conditions for a balanced distribution system. The problem is formulated as single-objective constrained optimization problem. PSO algorithm is used for optimal allocation of DG in radial distribution system. The performance is tested and validated on four IEEE standard bus systems viz. 12-bus, 33-bus, 34-bus and 69 bus systems. The percentage of real power loss reduction 208using PSO approach is by 48.30%, 47.36%, 57.73% and 63.05% for IEEE 12-bus, 33-bus, 34-bus, and 69-bus system respectively. The appreciable rise in the minimum voltage using proposed methodology is in the range of 3.8%-6.5% for all the four test systems respectively. The annual energy loss savings for type I DG also shows the remarkable benefits compared to other published results. The proposed methodology is further compared and tabulated with analytical approach as well as other methods to exemplify the superiority of the proposed work. © 2024 by Apple Academic Press, Inc.
URI: http://dx.doi.org/10.1201/9781003399827-11
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15615
ISBN: 9781000891997
9781774914182
Appears in Collections:Book/ Book Chapters

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