Review of optimization methods for energy hub planning, operation, trading, and control

T Ding, W Jia, M Shahidehpour, O Han… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The increasing concerns with adverse environmental issues have led to the proliferation of
renewable energy resources (RESs), which have been expanded more recently to multi …

Emerging trends and approaches for designing net-zero low-carbon integrated energy networks: A review of current practices

S Aziz, I Ahmed, K Khan, M Khalid - Arabian Journal for Science and …, 2024 - Springer
The incorporation of net-zero technology into preexisting energy networks is crucial for
facilitating the shift toward an ecologically conscious and sustainable energy infrastructure …

碳中和目标下的能源系统转型与变革: 多能流协同技术.

陈胜, 卫志农, 顾伟, 郭庆来 - Electric Power Automation …, 2021 - search.ebscohost.com
近年来全球多个国家提出了碳中和战略目标, 能源系统的转型与变革已迫在眉睫.
在能源系统低碳化转型路径中, 高比例新能源渗透充当了极为重要的战略角色 …

Low-carbon economic dispatch method for integrated energy system considering seasonal carbon flow dynamic balance

N Yan, G Ma, X Li, JM Guerrero - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In order to solve the problems of excessive carbon emissions and environmental pollution
caused by the current carbon trading policy, this paper breaks the traditional annual carbon …

Blockchain for transacting energy and carbon allowance in networked microgrids

M Yan, M Shahidehpour… - … on Smart Grid, 2021 - ieeexplore.ieee.org
This paper proposes a blockchain application for transacting energy and carbon allowance
in networked microgrids (MGs). MGs submit trading energy and carbon allowance data to …

Hybrid policy-based reinforcement learning of adaptive energy management for the Energy transmission-constrained island group

L Yang, X Li, M Sun, C Sun - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
This article proposes a hybrid policy-based reinforcement learning (HPRL) adaptive energy
management to realize the optimal operation for the island group energy system with energy …

Peer-to-peer joint electricity and carbon trading based on carbon-aware distribution locational marginal pricing

Z Lu, L Bai, J Wang, J Wei, Y Xiao… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This paper proposes a novel Peer-to-Peer (P2P) joint electricity and carbon (E&C) trading
model to co-optimize the energy and carbon emissions permit transactions considering the …

Cooperative-game-based day-ahead scheduling of local integrated energy systems with shared energy storage

C Chen, Y Li, W Qiu, C Liu, Q Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In the context of the current sharing economy, the application of shared energy storage
(SES) among local integrated energy systems (LIESs) is underexplored. There is an urgent …

Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages

C Chen, X Wu, Y Li, X Zhu, Z Li, J Ma, W Qiu, C Liu… - Applied Energy, 2021 - Elsevier
The optimal scheduling of park-level integrated energy system can improve the efficiency of
energy utilization and promote the consumption level of renewable energy. However, the …

Optimal power scheduling using data-driven carbon emission flow modelling for carbon intensity control

Y Wang, J Qiu, Y Tao - IEEE Transactions on Power Systems, 2021 - ieeexplore.ieee.org
Regarding the continuing increase of anthropogenic carbon emissions in the power system
with growing energy consumption, researchers have focused on managing the demand side …