Multiple microgrids with electric vehicle charging in a hybrid GJO-PCGAN approach for energy management

Electrical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

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Techno-economic analysis of vehicle-to-grid technology: Efficient integration of electric vehicles into the grid in Portugal

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 97, P. 112769 - 112769

Published: July 1, 2024

Language: Английский

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Control Strategies, Economic Benefits, and Challenges of Vehicle-to-Grid Applications: Recent Trends Research

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(5), P. 190 - 190

Published: April 28, 2024

With the rapid growth in number of EVs, a huge EVs are connected to power grid for charging, which places great amount pressure on stable operation grid. This paper focuses development V2G applications, based current research status technology. Firstly, standards applications and some pilot projects involving more representative systems introduced. Comparing with ordered charging unordered social economic benefits highlighted. Analysis concerns three points: demand response, personalized coordination renewable energy sources. And analysis is divided into parties: grid, aggregator, individuals. From perspective innovative expanding application scenarios through technology, commercial emergency vehicle-to-vehicle trading The challenges related presented: users’ willingness participate battery loss, discharging tariffs, privacy security, loss. Finally, recommendations given state regard those presented.

Language: Английский

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Online EVs Vehicle-to-Grid Scheduling Coordinated with Multi-Energy Microgrids: A Deep Reinforcement Learning-Based Approach

Energies, Journal Year: 2024, Volume and Issue: 17(11), P. 2491 - 2491

Published: May 22, 2024

The integration of electric vehicles (EVs) into vehicle-to-grid (V2G) scheduling offers a promising opportunity to enhance the profitability multi-energy microgrid operators (MMOs). MMOs aim maximize their total profits by coordinating V2G and flexible loads end-users while adhering operational constraints. However, strategies online poses challenges due uncertainties such as electricity prices EV arrival/departure patterns. To address this, we propose an framework based on deep reinforcement learning (DRL) optimize battery utilization in microgrids with different energy sources. Firstly, our approach proposes model that integrates management demands, modeled Markov Decision Process (MDP) unknown transition. Secondly, DRL-based Soft Actor-Critic (SAC) algorithm is utilized efficiently train neural networks dynamically schedule charging discharging activities response real-time grid conditions demand Extensive simulations are conducted case studies testify effectiveness proposed approach. overall results validate efficacy framework, highlighting its potential drive sustainability operations.

Language: Английский

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Increasing integration of wind energy through the joint operation of electric vehicles and the grid using the intelligent spider monkey algorithm

Engineering Science and Technology an International Journal, Journal Year: 2025, Volume and Issue: 64, P. 102017 - 102017

Published: Feb. 28, 2025

Language: Английский

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Advances in Electric Vehicles for a self-reliant energy ecosystem and powering a sustainable future in India

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2024, Volume and Issue: 10, P. 100753 - 100753

Published: Sept. 7, 2024

Language: Английский

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