Investigations and power quality improvement of optimally located large scale RES integrated with conventional distribution system with custom power devices

Non-conventional energy sources are gaining popularity since they have no carbon footprint. As the world's population rises and technology advances, so does the need for power. A conventional grid is combined with renewable energy sources (RES) to supply this need. This link compro...

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Autores:
Upadhyay, Tanvi
Jamnani, Jitendra
Tipo de recurso:
Article of journal
Fecha de publicación:
2025
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/13538
Acceso en línea:
https://doi.org/10.32397/tesea.vol6.n1.601
Palabra clave:
Rights
openAccess
License
Tanvi Upadhyay, Jitendra Jamnani - 2025
Description
Summary:Non-conventional energy sources are gaining popularity since they have no carbon footprint. As the world's population rises and technology advances, so does the need for power. A conventional grid is combined with renewable energy sources (RES) to supply this need. This link compromises the electrical grid's capacity to run safely and securely despite its benefits. Concerns about system power quality are the most prominent difficulty since they directly influence consumer devices and grid system performance. This article examines the power quality issues and associated worldwide standards for a conventional power network. This article presents simulated examinations of the impact of Photovoltaic (PV) and Wind Energy Conversion System (WECS) on the power quality of the Distribution System using the Modified IEEE 33 Node Radial Distribution Test System. This inquiry considers power quality concerns such as voltage fluctuations, voltage magnitude changes, and system harmonics. The Particle Swarm Optimisation (PSO) approach is used to find the ideal position for the PV system. The D-STATCOM is used to improve the system's voltage profile and harmonics. For simulational analysis, the MATLAB/Simulink software environment is employed.