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Optimal Load Management in EV-penetrated Networks

Optimal Load Management in EV-penetrated Networks: A Metaheuristic Approach with FACTS and DG Support: Smart Solutions for EV-integrated Grids by Rupika Gandotra, Kirti Pal
English | 2026 | True PDF | 138 pages | 14 Mb
This book offers a comprehensive techno-economic assessment and optimization framework for the challenges posed by the increasing adoption of electric vehicles by enhancing the performance of power system network through the integration of DG units and flexible AC transmission systems (FACTS) devices, particularly the unified power flow controller (UPFC).
It explores various distributed sources available and FACTS controllers and how their integration effectively managed the growing demand due to electric vehicles. By optimizing the placement and sizing of DG units and UPFC devices, the proposed approach aims to enhance grid stability, improve power quality, and increase overall system efficiency. This comprehensive solution not only mitigates the potential strain on existing infrastructure but also paves the way for a more sustainable and resilient electric power system in the face of growing electrification trends.
This book presents a explores various distributed sources available and FACTS controllers and how these devices are effectively integrated into the system and managing the loading scenarios due to electric vehicles. A literature work is done on types of distributed sources available and FACTS controller classifications named as series, shunt, shunt-series, and series-series controllers and their impact in power system distribution networks. Furthermore, a review of integration of renewable based sources with FACTS technologies and electric vehicles is provided, highlighting the integration benefits of FACTS controllers with distribution generation into a grid.
Contents:
Smart Grid Foundations: EVs, DG, and FACTS Integration
Technological Landscape: EVs, DG, and FACTS in Smart Grids
Multi-objective Metaheuristic Optimization Techniques for Smart Grids
Optimal DG Placement with EV Load in Smart Grids
Co-optimization of DG and FACTS Devices for EV-integrated Smart Grids
Smart Grid Futures: Challenges, Trends, and Opportunities
Technological Landscape: EVs, DG, and FACTS in Smart Grids
Multi-objective Metaheuristic Optimization Techniques for Smart Grids
Optimal DG Placement with EV Load in Smart Grids
Co-optimization of DG and FACTS Devices for EV-integrated Smart Grids
Smart Grid Futures: Challenges, Trends, and Opportunities
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