Analysis of Distribution System Operating Scenarios with Optimal Photovoltaic DG and Electric Vehicle Integration

Distributed generation (DG) systems offer a more sustainable option compared to traditional centralized power generation. By incorporating renewable energy sources like wind, solar and biomass, DG can reduce the reliance on fossil fuels, drop transmission losses, and enhance energy efficiency. This paper aims to model a radial distribution system (RDS) using MATLAB and test various scenarios with photovoltaic (PV) DG placements and EVs allocations. A 15-bus RDS is modelled and tested, with the objective of mitigating the impact of EVs on the system. The Enhanced Golden Jackal Optimization (EGJO) algorithm is employed to identify the optimal sites and ratings of PV DG installations. A comparative analysis of different allocation strategies and their effects on network performance offers valuable insights. By emphasizing optimal allocation, this research could provide solutions that are readily applicable to real-world scenarios.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/icspe62629.2024.10924348
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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Analysis of Distribution System Operating Scenarios with Optimal Photovoltaic DG and Electric Vehicle Integration

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Analysis of Distribution System Operating Scenarios with Optimal Photovoltaic DG and Electric Vehicle Integration

Rampreet Manjhi, Basanta Kumar Rana, Deepak Lal, Sandeep Biswal, Satyaswarup Nayak
article en

Abstract

Distributed generation (DG) systems offer a more sustainable option compared to traditional centralized power generation. By incorporating renewable energy sources like wind, solar and biomass, DG can reduce the reliance on fossil fuels, drop transmission losses, and enhance energy efficiency. This paper aims to model a radial distribution system (RDS) using MATLAB and test various scenarios with photovoltaic (PV) DG placements and EVs allocations. A 15-bus RDS is modelled and tested, with the objective of mitigating the impact of EVs on the system. The Enhanced Golden Jackal Optimization (EGJO) algorithm is employed to identify the optimal sites and ratings of PV DG installations. A comparative analysis of different allocation strategies and their effects on network performance offers valuable insights. By emphasizing optimal allocation, this research could provide solutions that are readily applicable to real-world scenarios.

Veer Surendra Sai University of Technology (IN), Bastar University (IN)
Affordable and clean energy
Openalex Percentile: Top 74%
Electric Vehicles and Infrastructure
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