ArticleScientific reports2024
Hybrid genetic algorithm-simulated annealing based electric vehicle charging station placement for optimizing distribution network resilience.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- ELLS-NSBA three-stage framework for optimal DG/SC placement and EV integration in distribution networks.Scientific reports · 2026Article
- Optimal sizing of electric vehicle charging station considering charging scheduling strategy.Scientific reports · 2026Article
- Distributed generation and shunt capacitor allocation in radial distribution power networks using a hybrid optimization approach.Scientific reports · 2026Article
- Lightweight machine learning framework using temporal features for electric vehicle demand response forecasting on edge devices.Scientific reports · 2025Article
- Optimization of emergency logistics for urban flooding with consideration of rainfall effects.Scientific reports · 2025Article
- Resilience driven EV coordination in multiple microgrids using distributed deep reinforcement learning.Scientific reports · 2025Article
- Enhanced CPCV algorithm for improving power quality in electric vehicle battery charging.Scientific reports · 2025Article
- Edge assisted energy optimization for mobile AR applications for enhanced battery life and performance.Scientific reports · 2025Article
- Comprehensive framework for smart residential demand side management with electric vehicle integration and advanced optimization techniques.Scientific reports · 2025Article
- Article
- Carbon management in massive electric vehicle temporal and spatial scheduling with automotive electronic forensics.Scientific reports · 2025Article
- Beyond boundaries a hybrid cellular potts and particle swarm optimization model for energy and latency optimization in edge computing.Scientific reports · 2025Article
- Optimal scheduling of solar powered EV charging stations in a radial distribution system using opposition-based competitive swarm optimization.Scientific reports · 2025Article
- Sustainable hybrid systems for electric vehicle charging infrastructures in regional applications.Scientific reports · 2025Article
- Distributed communication interference resource scheduling using the master-slave parallel scheduling genetic algorithm.Scientific reports · 2025Article
- Optimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework.Scientific reports · 2024Article
- Coordinated charging of EV fleets in community parking lots to maximize benefits using a three-stage energy management system.Scientific reports · 2024Article
- A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems.Scientific reports · 2024Article
- Multi-objective energy management in a renewable and EV-integrated microgrid using an iterative map-based self-adaptive crystal structure algorithm.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid placement of electric vehicle charging stations (EVCSs) is essential for the transportation industry in response to the growing electric vehicle (EV) fleet. The widespread usage of EVs is an essential strategy for reducing greenhouse gas emissions from traditional vehicles. The focus of this study is the challenge of smoothly integrating Plug-in EV Charging Stations (PEVCS) into distribution networks, especially when distributed photovoltaic (PV) systems are involved. A hybrid Genetic Algorithm and Simulated Annealing method (GA-SAA) are used in the research to strategically find the optimal locations for PEVCS in order to overcome this integration difficulty. This paper investigates PV system situations, presenting the problem as a multicriteria task with two primary objectives: reducing power losses and maintaining acceptable voltage levels. By optimizing the placement of EVCS and balancing their integration with distributed generation, this approach enhances the sustainability and reliability of distribution networks.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.