[HTML][HTML] Prosumer in smart grids based on intelligent edge computing: A review on Artificial Intelligence Scheduling Techniques

SB Slama - Ain Shams Engineering Journal, 2022 - Elsevier
Smart Grid technology has been considered an attractive research issue due to its efficiency
in solving energy demand, storage, and power transmission. The integration of IoT …

A review on intelligent energy management systems for future electric vehicle transportation

Z Teimoori, A Yassine - Sustainability, 2022 - mdpi.com
Over the last few years, Electric Vehicles (EVs) have been gaining interest as a result of their
ability to reduce vehicle emissions. Developing an intelligent system to manage EVs …

A cooperative hierarchical multi-agent system for EV charging scheduling in presence of multiple charging stations

CB Saner, A Trivedi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The increasing penetration of plug-in electric vehicles (EVs) to the electrical grid raises
concerns over secure and economic operation of the system. A coordination mechanism …

A novel Stackelberg-game-based energy storage sharing scheme under demand charge

B Li, Q Yang, I Kamwa - IEEE/CAA Journal of Automatica Sinica, 2023 - ieeexplore.ieee.org
Demand response (DR) using shared energy storage systems (ESSs) is an appealing
method to save electricity bills for users under demand charge and time-of-use (TOU) price …

How to realize the power demand side actively matching the supply side?——A virtual real-time electricity prices optimization model based on credit mechanism

Z Guo, W Xu, Y Yan, M Sun - Applied Energy, 2023 - Elsevier
Intermittence and fluctuation of renewable energy increase the cost of real-time balance of
power supply and demand, which will affect the stability of the power grid. How to design the …

Demand response application as a service: An SDN-based management framework

A Montazerolghaem… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With an increase in the utilization of appliances, meeting the energy demand of consumers
by traditional power grids is an important issue. The success of Demand Response (DR) …

A two-level scheduling algorithm for battery systems and load tap changers coordination in distribution networks

Z Ding, X Huang, Z Liu, Z Zhang - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
With the increasing number of controllable devices in the grid, devices owned by different
entities are supposed to cooperatively support the grid operation. To balance the various …

Integrating renewable energy sources for optimal demand-side management using decentralized multi-agent control

M Ikram, M Aslam, K Aurangzeb, S Ahmed… - … Energy, Grids and …, 2023 - Elsevier
Demand-side management has garnered significant attention recently as a viable solution
for electricity demand management. However, existing control approaches have …

[PDF][PDF] 高渗透率分布式发电并网下公共配电网市场化收费的思考

林雪杉, 张汀荟, 王蓓蓓 - 电工技术学报, 2023 - dgjsxb.ces-transaction.com
摘要“3060” 双碳目标势必带来分布式发电(DG) 在公共配电网中的大量接入,
传统按接入电压等级平均分摊成本的配电网收费方式会引发连锁反应的“死亡螺旋” 问题, 因此 …

Multi-agent and Reinforcement Learning Schemes for Demand Response Estimation in Distributed Microgrids

M Ikram, S Ahmed, SNK Marwat… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Demand response (DR) is an approach that encourages consumers to shape consumption
patterns in peak demands for the reliability of the power system and cost minimization. The …