MODELING AND SIMULATION OF SMART GRID INTEGRATION WITH DISTRIBUTED RENEWABLE ENERGY RESOURCES

The increasing integration of distributed renewable energy resources (DERs), such as solar photovoltaic (PV) and wind turbines, presents both opportunities and challenges for modern power systems. Smart grids provide an intelligent platform for managing these variable and decentralized energy sources, ensuring reliable, efficient, and sustainable electricity delivery. This study focuses on the modeling and simulation of smart grid integration with distributed renewable energy resources, aiming to evaluate the impact of high DER penetration on grid stability, voltage regulation, and power quality. A comprehensive system model is developed, incorporating generation, storage, distribution, and load components. Simulations are conducted under different operating scenarios to analyze the performance of the smart grid with varying levels of renewable energy integration. The results demonstrate that effective integration strategies, such as energy storage management and intelligent control of inverters, can mitigate intermittency issues and enhance grid resilience. This research provides insights into optimizing smart grid operations in the context of increasing renewable energy adoption.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-28
DOI
https://doi.org/10.5281/zenodo.18396488
Primary Topic
Microgrid Control and Optimization
Type
article
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article

MODELING AND SIMULATION OF SMART GRID INTEGRATION WITH DISTRIBUTED RENEWABLE ENERGY RESOURCES

Hassan Al-Farsi
Zenodo (CERN European Organization for Nuclear Research)
Microgrid Control and Optimization
article

MODELING AND SIMULATION OF SMART GRID INTEGRATION WITH DISTRIBUTED RENEWABLE ENERGY RESOURCES

Hassan Al-Farsi
article en

Abstract

The increasing integration of distributed renewable energy resources (DERs), such as solar photovoltaic (PV) and wind turbines, presents both opportunities and challenges for modern power systems. Smart grids provide an intelligent platform for managing these variable and decentralized energy sources, ensuring reliable, efficient, and sustainable electricity delivery. This study focuses on the modeling and simulation of smart grid integration with distributed renewable energy resources, aiming to evaluate the impact of high DER penetration on grid stability, voltage regulation, and power quality. A comprehensive system model is developed, incorporating generation, storage, distribution, and load components. Simulations are conducted under different operating scenarios to analyze the performance of the smart grid with varying levels of renewable energy integration. The results demonstrate that effective integration strategies, such as energy storage management and intelligent control of inverters, can mitigate intermittency issues and enhance grid resilience. This research provides insights into optimizing smart grid operations in the context of increasing renewable energy adoption.

Zenodo (CERN European Organization for Nuclear Research)
Sultan Qaboos University (OM)
Affordable and clean energy
Openalex Percentile: Top 74%
Microgrid Control and Optimization
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MODELING AND SIMULATION OF SMART GRID INTEGRATION WITH DISTRIBUTED RENEWABLE ENERGY RESOURCES — Hassan Al-Farsi · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS