Optimal Load Management in EV-penetrated Networks: A Metaheuristic Approach with FACTS and DG Support

Optimal Load Management in EV-penetrated Networks: A Metaheuristic Approach with FACTS and DG Support

River Rapids

Optimal Load Management in EV-penetrated Networks: A Metaheuristic Approach with FACTS and DG Support Forthcoming

Author: Rupika Gandotra, Gautam Buddha University, U.P., India
Kirti Pal, Gautam Buddha University, U.P., India

ISBN: 9788743811152 (Paperback) e-ISBN: 9788743811169

Available: March 2026


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.
FACTS, distributed generation, electric vehicle, techno-economic analysis, smart grid, optimal location
  • 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