Distributed Renewable Energy Systems: Grid Integration and Optimization
*Corresponding Author: Dr. Sokha Chann, Dept. of Electrical Engineering Royal University of Phnom Penh, Cambodia, Email: s.chann@rupp-demo.khReceived Date: Nov 01, 2025 / Accepted Date: Dec 01, 2025 / Published Date: Dec 01, 2025
Citation: Chann DS (2025) Distributed Renewable Energy Systems: Grid Integration and Optimization. Innov Ener Res 14: 490.DOI: 10.4172/2576-1463.1000490
Copyright: © 2025 Dr. Sokha Chann This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This research compilation delves into the multifaceted challenges and solutions associated with integrating distributed renewable
energy systems (DRES) into modern power grids. It covers advanced control strategies for grid stability, cybersecurity vulnerabilities
andmitigation, economic viability of microgrids, and the crucial role of energy storage systems. Furthermore, the importance of smart
metering, advanced optimization algorithms, electric vehicles as distributed resources, and the impact of high renewable penetration
are examined. Theapplication of artificial intelligence and machine learning for optimal management is also a key theme, collectively
aiming to enhance the reliability, efficiency, and resilience of grids with increasing DRES adoption.

