Voltage optimization in active distribution networks—utilizing analytical and computational approaches in high renewable energy penetration environments

Alshehri, M. and Yang, J. (2024) Voltage optimization in active distribution networks—utilizing analytical and computational approaches in high renewable energy penetration environments. Energies, 17(5), 1216. (doi: 10.3390/en17051216)

Abstract

This review paper synthesizes the recent advancements in voltage regulation techniques for active distribution networks (ADNs), particularly in contexts with high renewable energy source (RES) penetration, using photovoltaics (PVs) as a highlighted example. It covers a comprehensive analysis of various innovative strategies and optimization algorithms aimed at mitigating voltage fluctuations, optimizing network performance, and integrating smart technologies like smart inverters and energy storage systems (ESSs). The review highlights key developments in decentralized control algorithms, multi-objective optimization techniques, and the integration of advanced technologies such as soft open points (SOPs) to enhance grid stability and efficiency. The paper categorizes these strategies into two main types: analytical methods and computational methods. In conclusion, this review underscores the critical need for advanced analytical and computational methods in the voltage regulation of ADNs with high renewable energy penetration levels, highlighting the potential for significant improvements in grid stability and efficiency.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Yang, Dr Jin and Alshehri, Mohammed Saad A
• Authors: Alshehri, M., and Yang, J.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Energies
• Publisher: MDPI
• ISSN: 1996-1073
• ISSN (Online): 1996-1073
• Published Online: 03 March 2024
• Copyright Holders: Copyright © 2024 The Authors
• First Published: First published in Energies 17(5):1216
• Publisher Policy: Reproduced under a Creative Commons license