Deep reinforcement learning based optimal scheduling of active distribution system considering distributed generation, energy storage and flexible load

Y Lu, Y Xiang, Y Huang, B Yu, L Weng, J Liu - Energy, 2023 - Elsevier
The increasing integration of distributed resources, such as distributed generations (DGs),
energy storage systems (ESSs), and flexible loads (FLs), has ushered in a new era for the …

A Bi-level optimization strategy for electric vehicle retailers based on robust pricing and hybrid demand response

W Meng, D Song, L Huang, X Chen, J Yang, M Dong… - Energy, 2024 - Elsevier
The high penetration of electric vehicles (EVs) poses both opportunities and challenges for
power systems. EV retailers, playing a critical role in the demand response mechanism, face …

Model-free reinforcement learning-based energy management for plug-in electric vehicles in a cooperative multi-agent home microgrid with consideration of travel …

A Salari, M Zeinali, M Marzband - Energy, 2024 - Elsevier
The rise in popularity of plug-in electric vehicles (PEVs) and the increasing use of renewable
energy sources (RESs) have paved the way for advanced energy management systems …

Renewable energy time series regulation strategy considering grid flexible load and N-1 faults

Y Xiong, Z Zeng, J Xin, G Song, Y Xia, Z Xu - Energy, 2023 - Elsevier
As the proportion of renewable energy in electricity generation continues to increase, the
uncertainty of renewable energy has brought significant challenges to power system …

Intelligent electric vehicle charging optimization and horse herd-inspired power generation for enhanced energy management

G Lin, B Qi, C Ma, F Rostam - Energy, 2024 - Elsevier
This article focuses on optimizing electric vehicle charging in distribution networks,
emphasizing technical and economic considerations. Unlike traditional methods, the …

Economic, environmental, and reliability assessment of distribution network with liquid carbon-based energy storage using multi-objective group teaching optimization …

B Shen, M Li, N Bohlooli - Journal of Cleaner Production, 2023 - Elsevier
In this paper, the optimum operation of a distribution network in the presence of renewable
resources, and a new combined system of liquid carbon dioxide energy storage is …

Combining multi-step reconfiguration with many-objective reduction as iterative bi-level scheduling for stochastic distribution network

JY Li, JJ Chen, YX Wang, WG Chen - Energy, 2024 - Elsevier
With the increasing penetration of distributed renewable energy (DRE), problems such as
voltage violation, increased power loss and load peak–valley fluctuation in distribution …

Real-time pricing based on convex hull method for smart grid with multiple generating units

N Li, Y Gao - Energy, 2023 - Elsevier
With the growing demand and complex supply structure for electricity, higher requirements
are proposed for generating units to regulate the peak load, resulting in significant increases …

Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management

AF Güven - Energy, 2024 - Elsevier
As electric vehicles (EVs) continue to rise in popularity, there has been an intensified focus
on the distribution of power within hybrid renewable energy systems. In this context, the …

Impact of electric vehicle charging demand on power distribution grid congestion

Y Li, A Jenn - Proceedings of the National Academy of …, 2024 - National Acad Sciences
California, a pioneer in EV adoption, has enacted ambitious electric vehicle (EV) policies
that will generate a large burden on the state's electric distribution system. We investigate …