A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF

Z Cui, L Kang, L Li, L Wang, K Wang - Energy, 2022 - Elsevier
Lithium-ion batteries have become the fastest-growing energy storage equipment available
for extrinsic and intrinsic reasons. State of Charge (SOC) is one of the lithium-ion batteries' …

Towards Secured Smart Grid 2.0: Exploring Security Threats, Protection Models, and Challenges

LH Nguyen, VL Nguyen, RH Hwang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Many nations are promoting the green transition in the energy sector to attain neutral carbon
emissions by 2050. SG2 is expected to explore data-driven analytics and enhance …

Peer-to-peer local energy market: opportunities, barriers, security and implementation options

O Jogunola, AS Ajagun, W Tushar, FO Olatunji… - IEEE …, 2024 - ieeexplore.ieee.org
The concept of the peer-to-peer local energy market (P2P LEM) is no longer novel to the
energy community. Yet, its large-scale implementation within the current electricity network …

Short-term load forecasting of distribution transformer supply zones based on federated model-agnostic meta learning

C Feng, L Shao, J Wang, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the increasing data privacy concerns raised by not only organizations but also
individuals in distribution systems, traditional centralized data-driven forecasting …

Peer-to-peer energy trading under distribution network constraints with preserving independent nature of agents

N Tarashandeh, A Karimi - Applied Energy, 2024 - Elsevier
In recent years, the use of distributed energy resources has accelerated to deal with global
warming. As these resources are decentralized, the current centralized energy market must …

Optimal energy flow in integrated electricity and gas systems with injection of alternative gas

S Wang, J Zhai, H Hui - IEEE Transactions on Sustainable …, 2023 - ieeexplore.ieee.org
This paper proposes an optimal energy flow technique for the integrated electricity and gas
systems (IEGS) with injections of alternative gases. Firstly, we develop a novel optimal …

[HTML][HTML] Using bayesian deep learning for electric vehicle charging station load forecasting

D Zhou, Z Guo, Y **e, Y Hu, D Jiang, Y Feng, D Liu - Energies, 2022 - mdpi.com
In recent years, replacing internal combustion engine vehicles with electric vehicles has
been a significant option for supporting reducing carbon emissions because of fossil fuel …

Moment-based distributionally robust peer-to-peer transactive energy trading framework between networked microgrids, smart parking lots and electricity distribution …

N Nasiri, S Zeynali, SN Ravadanegh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes a decentralized scheduling framework for peer-to-peer (P2P)
transactive energy trading between prosumers and the local electricity market (LEM). In this …

Generalized Nash equilibrium analysis for peer-to-peer transactive energy market considering coupling distribution network constraints

Y **a, Q Xu, Y Ding, L Shi, F Wu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the coupling network constraints, the prosumers' trading strategies influence each
other. This article analyzes the generalized Nash equilibrium (GNE) formulated by the …

[HTML][HTML] Decentralized coordination between active distribution network and multi-microgrids through a fast decentralized adjustable robust operation framework

X Chen, J Zhai, Y Jiang, C Ni, S Wang… - … Energy, Grids and …, 2023 - Elsevier
Due to the autonomous characteristic and heterogeneity of the individual agents in active
distribution network (ADN) with multi-microgrids (MMG), this paper proposes a fully …